Adlink provides robust and reliable hardware platforms, data connectivity and complete Industrial Internet of Things (IIoT) solutions that drive data-to-decision applications across industries.
ADLINK Technology Inc., a global leader in edge computing solutions, introduces the cExpress-R8, a COM Express COM.0 R3.1 Type 6 Compact module powered by AMD Ryzen Embedded 8000 Series processors (8845HS, 8840U, 8645HS, 8640U). Engineered to satisfy the demands of modern smart industrial applications, it delivers an advanced integration of high-performance and energy-efficient design. This module ignites mission-critical AI capabilities, accelerated edge computing, and advanced graphics performance-bringing the confidence that comes with the reliability needed for complex, graphics-intensive workloads.COM Express R3.1 Type 6 Compact Size Module. ADLINKcExpress-R8-B. ADLINKPushing the limits of edge performance, ADLINK's cExpress-R8 combines up to 8 "Zen 4" cores and 16 threads with integrated AMD RDNA 3 graphics and an XDNA NPU, delivering up to 40 TOPS. The cExpress-R8 fuels power-efficient AI inferencing and fast decision-making across machine vision, robotics, medical imaging, infotainment, and intelligent human-machine systems. With XDNA architecture, performance-per-watt efficiency is optimized, delivering advanced AI processing, and enabling more complex AI workloads without a significant spike in energy demands.cExpress-R8-F. ADLINKTo guarantee real-time processing, the cExpress-R8 supports up to 96GB of DDR5 memory at 5600 MT/s, with both ECC and non-ECC options available. ECC acts as a watchdog, detecting and correcting errors in environments where failure isn't an option, whether in mission-critical applications, gaming, transportation, and POS (Point of Sale)/POI (Point of Information) systems.With support for up to four displays, DP, eDP, HDMI, LVDS, and VGA interfaces. VGA and eDP outputs are available as optional features, allowing flexible visual configurations to meet edge computing demands. Combined with scalable performance, power, and graphics configurations, the cExpress-R8 is well-suited for a diverse range of edge applications. With 10-year product availability, it ensures long-term design stability and lifecycle alignment for system integrator roadmaps.Key Features:- AMD Ryzen Embedded 8000 Series Processors- AMD RDNA 3 Graphics and XDNA NPU (up to 40 TOPS performance)- Up to 96GB DDR5 5600 MT/s (ECC/non-ECC)- Four independent display outputsADLINK's cExpress development kits, including reference carriers and full I/O support, will be available in Q4 of 2025 to help you accelerate prototyping and simplify system integration.For more information about ADLINK COMs, visit adlinktech.com and explore the cExpress-R8 module.Summary:- Built on AMD Ryzen Embedded 8000 Series processors for powerhouse performance.Deploy 8-core, 16-thread processing with AMD RDNA 3 graphics for accelerated multitasking and immersive visuals.- Achieve up to 40 TOPS of AI inferencing performance with Zen 4, RDNA 3, and XDNA architectures for enhanced on-device intelligence.- Support up to 96GB DDR5 with ECC for reliable data integrity and system stability.- Enable versatile multi-display configurations (DP, eDP, HDMI, LVDS, VGA), accommodating complex visual setups with convenience.
Ensuring the quality and efficiency of batteries is crucial for the performance and safety of electric vehicles (EVs). With this in mind, most new energy EV battery manufacturers are actively advancing towards smart technologies, integrating motion control, visual inspection, and other technologies into the initial, middle, and final stages of the manufacturing process.For instance, a leading automotive battery manufacturer has recognized that traditional manual sampling inspections are not only time-consuming and labor-intensive but also tend to identify defects late in the process. This results in the production of defective products and increased waste.In due course, the manufacturer entrusted a specialized System Integrator (SI) in visual inspection and AI analysis to establish a tailored quality control mechanism. This involves real-time detection and adjustment of "Key Process Input/Output Variables" (KPIV/KPOV) to prevent failure modes from affecting subsequent processes.However, given that the SI specializes in visual inspection software development rather than the installation and maintenance of computers and peripheral equipment, they sought a supplier capable of providing a one-stop solution that includes industrial computers, expansion cards, and GPU cards. This supplier must offer comprehensive after-sales service to address multi-source supply challenges, such as incompatibility and troubleshooting issues. After a thorough evaluation, the SI decided to adopt ADLINK Technology's complete solution, which includes an industrial PC, image capture card, and GPU card.Establishing a Digital Inspection Infrastructure with IPC and Image Capture CardsHsin-Chen Lin, Product Manager at ADLINK Technology's Edge Computing Platform Product Center, put an emphasis on the battery manufacturing process, which is divided into three stages: initial, middle, and final. The initial stage involves the "electrode production" process, which includes steps such as raw material mixing, coating, electrode pressing, and die-cutting.The middle stage is the "battery cell assembly," which involves placing the battery case through winding or stacking methods, followed by sealing through hot pressing, ultrasonic welding, and laser welding. The final stage is "activation testing," where the battery is activated by injecting electrolytes, followed by charge and discharge testing, and capacity grading and sorting marking the final step.Electric Vehicle Battery Manufacturing ProcessHe elaborated further that after the three stages, the battery proceeds to the modularization phase, which includes component gluing, side plate welding, harness installation, and final testing. These steps are pivotal for assembling the final automotive battery module.Using ADLINK Technology's IPC and professional image capture card visual inspection solutions for digital inspection enables real-time monitoring during these production stages. This ensures adherence to rigorous manufacturing standards at every step.Given the complexity of the over ten detailed processes across these stages, numerous critical monitoring and inspection requirements are presented. For example, in the early stage's coating process, AI technology with Camera Link cards and line scan cameras must accurately detect coating defects and width discrepancies, preventing conductivity issues and material exposure. It ensures the battery's optimal charge and discharge performance.Similarly, in the die-cutting process, it is essential to check the electrode tab-cutting precision. Lastly, the middle stage also presents strict challenges, ensuring precise alignment between winding and stacking and mitigating safety risks of low capacity or lithium plating. During ultrasonic and laser welding processes, it is necessary to meticulously inspect the electrode tab welds for scratches, fractures, and wrinkles. AI technology plays a key role here, effectively detecting defects that traditional vision systems may overlook.In the modularization stage, component gluing and shell welding processes also rely on advanced imaging technology and AI machine learning to inspect the quality which is crucial for preventing component misalignment and electrolyte leakage, thus avoiding potential battery short circuit issues.Understanding the specific inspection needs of SIs, ADLINK Technology delivers a complete solution based on the IMB-M47 motherboard as the core of the Industrial Computer (IPC), combined with a dedicated chassis and Power Supply Unit (PSU), paired with the PCIe-GIE74P image capture card and GPU card. This comprehensive solution showcases ADLINK Technology's thoroughness and expertise compared to most industrial control companies only offering motherboards or Box PCs.This one-stop solution simplifies system configuration and speeds up the deployment process. It allows SIs to quickly and effectively integrate visual inspection software into battery production equipment, significantly enhancing production efficiency and product quality control.Leading Electric Vehicle Battery Manufacturing into a New Era of InnovationADLINK Technology provides comprehensive support services, allowing SIs to confidently resolve any issues with industrial computers, expansion cards, and other critical components. This enables SIs to focus on software development without worrying about hardware-related problems, thereby helping automotive battery manufacturers reduce inspection time, lower scrap rates, and detect subtle defects. This results in lower production costs while enhancing battery production efficiency and quality.ADLINK solutions offering for EV battery manufacturingHsin-Chen Lin emphasized ADLINK Technology's latest solution, the IMB-M47 motherboard, highlighting its two significant technological advancements. He noted its superiority, achieved through the utilization of 12th/13th generation Intel Core processors combined with the latest memory and I/O expansion interfaces like DDR5 and PCIe Gen5, offering significantly better processing performance than the commonly used 8th/9th generation processors.It is complemented by the IMB-M47 motherboard's ability to support at least two PCIe-GIE74P image capture cards to handle multiple complex inspection tasks. With the increasing demand for visual inspection and the large data volume generated by high-resolution line scan images, the high-performance IMB-M47 motherboard paired with PCIe-GIE74P image capture cards ensures precise and fast inspections, making it an ideal combination.Comprehensive Expansion Card Solutions Accelerate Intelligent Battery ManufacturingADLINK Technology's greatest advantage in the realm of "intelligent manufacturing for new energy EV battery equipment" stems from its roots in expansion cards. Whether it's image capture cards, motion control cards, DIO cards, or GPU cards, ADLINK Technology boasts the most comprehensive and high-quality product lineup.Currently, the primary application involves integrating IPCs and image capture cards for visual inspection. However, across the entire automotive battery manufacturing process, spanning from early to late stages and including equipment such as mixers, coaters, cold press machines, die-cutters, winding/staking machines, and more, ADLINK Technology's innovative solutions play a vital role.Through ongoing R&D investments, ADLINK Technology consistently incorporates the latest technology standards and chipsets into its industrial computer systems, significantly boosting processing speed, data transfer efficiency, and reliability. Furthermore, ADLINK Technology's internal expansion card solutions effectively tackle compatibility issues faced by system integrators, further enhancing overall production efficiency.These innovative technological solutions reinforce ADLINK Technology's leadership in the automotive battery manufacturing sector and establish it as the preferred partner for automotive battery manufacturers, production equipment suppliers, and system integrators.Learn more about ADLINK Industrial PC or contact ADLINK for more information about products and solutions.
The rush to embrace smart technology in the manufacturing and logistics industries means that smart warehouse systems are an increasingly common sight in factories and warehouses. Smart conveyor belts, smart pallets, autonomous mobile robots (AMR), as well as automated handling systems such as robotic arms with integrated AI visual recognition technology are becoming widespread. The traditional paradigm of manual picking, sorting, and handling has been gradually rendered obsolete. The boost in operational efficiency has been accompanied by a reduction in dependence on human resources as well as fewer occupational injuries.Growing demand for smart warehousing has spurred the emergence of related start-ups looking to capitalize on these new business opportunities. A certain start-up in Japan for example leveraged its innovative motion control software and algorithm to incubate an acclaimed smart robotic arm that has since been adopted by smart warehouse projects in Japan, America, and Europe. After careful assessment, the Japanese company decided a little over two years ago to introduce ADLINK's MVP-6200 fanless embedded computer as its robotic arm controller.Proprietary AFM Design Supports High Level of Customization and ExpandabilityTaita Chou, ADLINK's Senior Product Manager of Edge Computing Platforms BU explained that there were several reasons why MVP-6200 was given the nod. Firstly, ADLINK has been working on industrial automation applications for a long time and has built a solid body of knowledge on industrial robot controllers. Secondly, an AI camera is integrated into the start-up's robotic arm, and AI visual recognition technology is employed to execute tasks. ADLINK's extensive experience with Edge AI in recent years was therefore considered another plus.The MVP-6200 itself also incorporated many advanced technical features so this was probably the main reason for its selection. For example, the 12/13-generation Intel Core i9/i7/i5/i3 processor onboard is about 30% faster than the 8/9th generation Intel CPUs generally used in industrial computing today. Memory is also upgraded from DDR4 to DDR5 to boost overall performance by more than 50%, a very considerable improvement. In other words, a robotic arm with MVP-6200 as the controller can pick and move an even larger quantity of goods within the same given period. The attendant increase in order fulfillment rate made for a strong selling point.At the same time, ADLINK's proprietary Adaptive Function Module (AFM) design allowed for a high level of customization and expansion in functionality based on client requirements. In this particular case, ADLINK provided the start-up with a function module corresponding to its signal expansion requirement. Integrating the signals directly into the mainboard eliminated unnecessary accessories and wiring that increase the risk of short circuits or oxidization from card contacts, as well as loose or worn wiring due to vibrations in the arm mounting over extended periods. Both maintenance costs and the potential risk of failure are reduced as a result. Thanks to AFM, the end customer can use a single controller to seamlessly connect 2D/3D cameras, tablet teach pendants, conveyor belt sensors, barcode scanners, and other external hardware. Robotic arms and AMRs can then operate smoothly and precisely together to execute the entire shipping process.ADLINK MVP-6200Embracing Complex Verification Challenges to Meet Customer RequirementsA strategy of diversification was adopted by ADLINK in industrial computing to better meet market and client requirements. Chou noted that in addition to the flagship MVP-6200 series ADLINK also designed the MVP-5200 series for different application scenarios. The two series share the same technical platform but the MVP-5200 is targeted at specialized applications that do not require PCIe expansion slots. Maintaining a flexible approach to design ensured that the product could be adapted to different production environments and effectively meet the needs of different customers.The performance of industrial computers is continuing to increase thanks to new generations of CPUs but this also brings even greater challenges in heat dissipation. Effective heat dissipation is of particular importance in the confined environments of factories and warehouses. It is here that the MVP series from ADLINK demonstrates its outstanding innovation. These models are based on a fanless design that delivers high-performance cooling in a small footprint to ensure the machine's continued stability and reliability under heavy workloads.The MVP series not only satisfies current industrial automation requirements through its powerful processing performance and exceptional heat dissipation. It is also a demonstration of ADLINK's leadership in product design and innovation. These models are suitable for applications that require high-performance AI computing. Their compact footprint and outstanding cooling performance provide users with more flexibility during deployment which translates into even greater value for money and a better overall user experience."ADLINK was not just chosen for the exceptional performance of the product hardware itself, but its total approach to customer service!" said Chou. Instead of just being a traditional hardware vendor, ADLINK went the extra mile by making an in-depth study of the customer's requirements and then satisfied those requirements by providing a tailor-made solution. In this case, ADLINK did not just employ AFM design to seamlessly connect all the external devices specified by the client. To ensure the most stable operating environment, ADLINK also introduced Ubuntu Linux compatibility verification services from Canonical, the original manufacturer, to ensure that no matter what OS updates are introduced in the future, all MVP models will remain fully compatible with the OS; the effort is not limited to Ubuntu either. ADLINK will work to maintain stability and compatibility with other platforms such as Debian, Yacto, and Windows as well.It is worth noting that the new start-up required ADLINK to undergo rigorous whole-machine encryption testing during delivery to maximize supply chain security. The testing ensured every component in the computer was a 100% match for the list of previously verified components. For example, everything on the Flash SSD including the chips, firmware, or even tiny screws had to match or it would fail verification. ADLINK knew that such testing may result in additional hidden costs. Nevertheless, the project will be used with AI applications and industrial automation so this requirement was aligned with ADLINK's ultimate goal. Every effort was therefore made to meet the client's expectations by the company philosophy of putting the client first. It is this in-depth understanding of client requirements and total approach to technical support that gives ADLINK its edge in an extremely competitive market. ADLINK supplies not only high-quality products but is also a one-stop shop for solutions. From hardware to software, and from product configuration to after-market support, a total approach to satisfying customer requirements epitomizes ADLINK's outstanding performance in customer service.Learn more about the MVP-6200 or contact ADLINK for more information about products and solutions.
IoT applications are expanding in scope now that the technology has matured. Industrial computers that form a key part of the IoT network architecture must also continue to evolve in response to workflows and operating environments in different scenarios. The Human-Machine Interface (HMI) that serves as the bridge between users and devices requires high stability, high compatibility, and high tolerance. These attributes are essential to fulfilling system introduction goals such as improved performance and reduced costs. Industry veteran ADLINK supplies total solutions for HMI. In response to market demands, rugged display panels from AUO Display Plus have now been adopted to supply customers with HMI products that combine quality and reliability.AI Drives Need Reliable Processing Power and Fast Data Transfers Over Extended PeriodsSmart technology is now sweeping through global industries bringing new advances to HMI functionality. Derrick Tu, Business Development Manager of the Edge Visualization BU at ADLINK, states, "Edge computing is a product of AI technology and IoT. Industrial-grade tablets and displays need the ability to provide reliable processing power and fast data transfers over extended periods of time. System integration requirements have also emerged from large machines in factories and self-service kiosks in retail stores, leading to a growing emphasis on compatibility and expandability on a functional level." Certain fields have ruggedization and tolerance requirements due to their environments. Manufacturing equipment requires a wide temperature tolerance, as well as dust and vibration resistance. Medical fields involve frequent disinfection and require grime resistance.ADLINK has developed a complete portfolio of industrial-grade displays targeted at the above requirements ranging from 7" to 43" in size. Two more 32" and 43" large form-factor displays and the 4:3 aspect ratio were also introduced this year to satisfy the requirements of different customer applications.ADLINK Offers Products-as-a-Service with Flexible Specifications for Different ApplicationsFor touch industrial tablet PCs, ADLINK released an open tablet PC that supports customer customization of processing power, touch control display type, and I/O interface. ADLINK's proprietary Function Module supports customer-defined device functions and I/O. The ADLINK tablet-to-tablet connector guarantees compatibility between smart tablets. ADLINK will soon unveil models featuring a stainless-steel housing with M12 waterproof connectors, a fully flat fanless design, and compliance with the IP69K standard for full water, dust, and corrosion resistance. The unit can be hosed down with hot water, making it suitable for industries that require a clean production environment.Diversification of HMI Requirements See ADLINK Partner with AUO Display Plus to Build the Optimal User ExperienceRugged display panels from AUO Display Plus are now used across the full range of ADLINK industrial-grade displays and tablets to further enhance their ruggedness and durability. Tu notes, "AUO Display Plus is an AUO subsidiary specializing in industrial touch control technologies and large display form-factors suitable for outdoor or semi-outdoor environments. It is therefore a perfect complement to ADLINK's expertise in industrial computer technology." The post-pandemic era has led to greater diversification of HMI requirements in the market. The complementary partnership between ADLINK and AUO Display Plus will provide customers with greater product diversity and better specifications.There are three main advantages to the adoption of AUO Display Plus panels in ADLINK HMI products: 1. Improved durability to support extended system operation; 2. Improved clarity through high-brightness products that clearly display information both indoors and outdoors; 3. Improved usability with support for multi-touch controls that provide an enhanced user experience. Tu emphasizes, "ADLINK and AUO Display Plus both have more than 20 years of experience in industrial control. Customer requirements and pain points are therefore anticipated and overcome in advance during the product design phase. The next step for ADLINK is to leverage AUO Display Plus products for the development of specialized high brightness, semi-outdoor, and narrow bezel models."On top of enhancing product performance through partnerships, another key competitive advantage of ADLINK's industrial display and tablet business is its precise and well-developed one-stop customization service. According to Tu, "Long-term collaboration between ADLINK and leading vendors such as Intel, Qualcomm, MediaTek, and NVIDIA ensures the most forward-looking product support. This, combined with ADLINK's extensive experience in industrial computers and global locations, ensures the delivery of swift, professional customization services. Resultant products will not only meet current requirements but can also be customized to craft edge visualization solutions that offer high stability, compatibility, and tolerance for customers."For more information, please contact the ADLINK's website.Derrick Tu, Business Development Manager of the Edge Visualization BU at ADLINK. Credit: Company
Advances in AIoT technologies have given rise to burgeoning smart applications in a variety of use scenarios including factories, power plants, traffic control, data centers and electric vehicles (EV). When business owners attempt to incorporate smart applications, they often face challenges and have to purchase all kinds of software and hardware systems in order to meet their needs for control, gateway and visualization capabilities. These systems add to upfront costs, occupy spaces, impose integration challenges and burden maintenance staff.As a leading edge computing solution provider, ADLINK brings cross-sector integration creativity into full play and launches the market's first all-in-one (control/gateway/display) HMI device, named the PanKonix HMI panel PC series. Available in 10-inch, 15-inch and 21-inch models, the PanKonix panel PCs are all based on Intel Core i processors to deliver the computing power that distinguishes them from conventional HMI devices.According to Simon You, Director of Smart Machine Division, ADLINK, the HMI market can be divided into small-, medium- and large-size segments. The small-size segment primarily includes 4.5-inch, 7-inch and 10-inch devices. The medium-size segment primarily includes 12-inch, 15-inch and 18-inch devices. The two are often used in machine automation (MA) application scenarios for PLC and IO module controls. Their uses may further include data access and acquisition, edge analysis, cloud data transfer and IIoT. Large-size HMI devices primarily come in 21-inch, 23-inch and 27-inch dimensions and are generally used in the control room or on the factory floor as visual display units. They are more for factory automation (FA) applications. Available in various sizes, PanKonix meets a complete range of MA and FA needs.The HMI panel PC eliminates the need for IoT gateways and costly motion control PLC modulesConventional HMI devices are for the most part used to control PLC modules. PanKonix has more than 300 built-in PLC drivers to not only meet basic PLC control needs but also feature better compatibility than conventional HMI devices. The use of just one PanKonix touch panel PC can accommodate all types of PLC modules. On top of that, PanKonix integrates ADLINK's exclusive SuperCAT (software-defined EtherCAT) motion controller, which controls traditional PLC modules as well as EtherCAT motors and IO modules.You notes that PLC modules and HMI devices have been standard equipment on factory production lines. However, with growing AIoT needs, gateways are being added onto production machines for data acquisition and visual display. As gateways are also PC-based, why not add gateways to the panel PC? This gave rise to PanKonix's first and foremost feature – eliminating gateways. By supporting Modbus RTU and Modbus TCP/IP on the OT side as well as OPC UA, MQTT and RESTful API on the IT side, PanKonix satisfies every need, whether it's for IoT data collection, visualization or cloud upload, making it an extremely cost-effective integrated solution."Another highlight of PanKonix is that it eliminates motion control PLC modules as well," says You. Featuring software-defined PLC and motion control with very user-friendly designs, PanKonix enables IT engineers unfamiliar with OT to easily use IT languages to do PLC programming while allowing OT engineers unfamiliar with IT to make use of No Code/Low Code environments to complete IoT programs for data transfer. This means companies can leverage their existing IT/OT teams to realize their digital transformation and build up their competitive edge.Harnessing the power of SuperCAT to break the IT/OT barrierPanKonix boasts many features from the hardware design perspective. Based on AUO IP65 panels, PanKonix is built with slim-bezel capacitive touch screens featuring world-class color saturation to present a chic feel. Compared to traditional HMI devices with resistive touch screens, PanKonix enables superior touch control user experience.Furthermore, PanKonix comes with built-in GUI-based control software that is simple and easy to use and highlights the "no code" feature. Developers can intuitively drag and drop icons or fill out forms and charts to effortlessly link HMI programs to IP addresses of PLC modules, inverters, motors or other devices and enable monitoring capabilities in a snap. The GUI-based control software provides a vector graphics library, allowing users to resize the graphics without distortion. Even if users switch to screens of different sizes, there is no need to redesign the UI. Companies that originally operate in PC-based development environments can leverage PanKonix's GUI-based control software to overcome the HMI development barrier and easily design a premium-quality HMI, helping them meet their customer needs more swiftly. In view of ADLINK's 25-year experience in motion control R&D, the market has high hopes for PanKonix's built-in SuperCAT software. According to You, SuperCAT replaces the physical card, thus enabling controller miniaturization while supporting the control of a greater number of axes and IO points. Moreover, users can control most devices on the market with standard EtherCAT buses instead of PLC. This frees users from the reliance on a single brand that controls the price and delivery schedule. With SuperCAT's API support, IT engineers can effortlessly create OT control programs without spending time learning PLC programming.SuperCAT supports 125μs EtherCAT control cycle, doubling from the previous-generation traditional motion control cards. The number of synchronized axes has also increased from 64 to 128. These are the top-rated spec in the industry today. Also featuring IEC 61131-9 support, SuperCAT enables factories to collect the operation time of sensors or main equipment components, allowing factories to accelerate preventive maintenance implementations.With these features, PanKonix has grabbed the attention from users that were relying on MA applications (such as electronics manufacturers) after its launch. This also broadens PanKonix's applications in scenarios where ADLINK rarely set foot in. For example, data centers use PanKonix to monitor operation environment parameters. Machinery factories use PanKonix to add state monitoring capabilities to their products. Large power plants and traffic control centers use PanKonix for remote equipment monitoring. Electric Vehicle charging stations use PanKonix to keep an eye on the battery status on all their charging equipment. With its applications extending far beyond where existing HMI devices are used, PanKonix is bringing unlimited HMI possibilities.According to Simon You, the PanKonix panel PCs are all based on Intel Core i processors to deliver the computing power that distinguishes them from conventional HMI devices.PanKonix integrates ADLINK's exclusive SuperCAT (software-defined EtherCAT) motion controller, which controls traditional PLC modules as well as EtherCAT motors and IO modules.
Industries such as semiconductors and panel manufacturing, which the world depends on, implement cleanrooms to prevent contaminants such as microorganisms, suspended particles, volatile chemical gases, or dust that can decrease yield rates and result in considerable losses in the production process.It's undeniable that the high degree of cleanliness expected by the above industries cannot be solely achieved through isolated spaces such as cleanrooms, but must also rely on personnel's compliance to good cleaning practices. This means that personnel must wear protective clothing/hats/shoes before entering cleanrooms and raise both arms when walking through air shower tunnels, so that clean air may remove dust particles attached to these items. While these rules are in place, sometimes colleagues may fail to properly raise both arms, walk quickly through the air shower tunnel, fail to rotate properly, or spend insufficient time in the air shower tunnel, affecting the product's yield rate.In order to eliminate these circumstances, more and more businesses are requiring in house development teams to work on AI surveillance models to identify whether personnel's behaviors in air shower tunnels are compliant with existing rules; in the event of a violation, a linked warning mechanism can instantly request personnel to undergo comprehensive cleaning procedures. Due to the complex development of these models, the completion of many projects has been put on hiatus. Luckily, the NEON AI Smart Camera developed by ADLINK has provided timely assistance and helped revive numerous projects towards successful landings.AI Engineers Don't Understand Imaging? Potential Delays to Program DevelopmentChia-Wei Yang, Director at ADLINK's Edge Vision Business Center stated that the majority of factory AI engineers have backgrounds in automation and have only changed their fields in recent years; while they have undoubtedly honed their ability in AI over many years, they do not understand imaging in the sense that they don't know how to select lenses, light sources, or understand camera settings. As such, their efforts in developing image capture programs will naturally encounter a challenging learning threshold.However, the difficulties don't stop here. Challenges await at each stage, including environment restrictions (such as the inability to drill holes in cleanrooms, minimizing cabling, space restrictions, and the need for fanless designs to prevent dust accumulation), ensuring system reliability, and real-time DIO.Tsai-Pan Lin, Solution Engineer Director at ADLINK's Edge Vision Business Center, pointed out that this would not be an easy task due to the development processes that these AI engineers are accustomed to. Since it is impossible for them to develop programs directly in cleanroom environments, they need to record videos and use them as the basis for writing testing programs, which require integrating posture judgment logic to identify whether personnel's actions should be deemed as "Pass" or "NG." Once testing is confirmed to be error free, they have to go through the time consuming process of coming up with methods to integrate edge devices and cameras, and then deploy them into designated spaces.Taking Advantage of the EVA SDK to Land Projects within Two WeeksAfter implementing the NEON AI Smart Camera, AI teams will only need to develop one inference program to utilize the clear function block guide provided by EVA SDK (the NEON AI Camera's built-in edge vision analytics software development kit). This allows developers to give a tangible form to their logic, swiftly introduce it into programs, and rapidly toggle image sources from video to camera. In other words, one program can meet testing and subsequent real-life scenario flattening requirements. Generally speaking, users can utilize visualization tools in the built-in EVA IDE of EVA SDK to convert complex development processes into intuitive flow charts, and then place function blocks in order and achieve project landing within two weeks.As for environment restrictions, the NEON AI Smart Camera provides massive assistance primarily because it is an All-in-One system with an integrated camera and computer that only requires one network and a power cable to meet businesses' expectations by "reducing cabling to a minimum." Furthermore, NEON features ease of installation and supports the VESA standard installation interface, so that users can obtain various mechanisms available in the market to complete setup operations, thereby eliminating the necessity to drill holes. More importantly, NEON utilizes a fanless design, which eliminates concerns regarding dust accumulation.In the past, AI engineers utilized development boards and webcams readily available to users for in house developed programs, which often suffered from unknown factors that resulted in poor inference reliability and images being bypassed. Also, additional efforts were required to develop I/O control programs to immediately trigger warning mechanisms such as three-color indicators and voice warnings. After implementing NEON, pre-operations such as image capture, verification, and adding algorithms can be completed and quickly setup within two weeks to provide stable image capture without bypass as well as stable inference time. The addition of EVA SDK's built-in I/O control plug-in also allow AI engineers to build I/O control logic through low-code development methods.The clear benefits provided by NEON with EVA SDK can offer massive value to businesses. Based on responses from various customers, AI surveillance has increased personnel compliance; they no longer disregard cleaning regulations and undergo proper cleaning in air shower tunnels, decreasing dust by a massive 80% and significantly eliminating factors that affect yield rates.Chia-Wei Yang stated that ADLINK is pleased with the positive customer feedback and expects to develop additional tools "that will lower learning curves," so that customers can accelerate their implementation of vision AI applications; these little tools will appear on the inference side and eventually for the training side. Additionally, ADLINK will continue to organize in-depth AI academy courses to cultivate even more talented individuals capable of developing advanced vision AI solutions.For more information, please visit: https://www.adlinktech.com/en/EVA_SDK_ADLINK_Edge_AI_Vision_Analytics.NEON AI Smart Camera developed by ADLINK has provided timely assistance and helped revive numerous projects towards successful landings.
Displays are the last mile for communication between human and machine. In recent years, a wave of smart digitization has taken global industries by storm, as companies in the vehicle, retail, manufacturing, and medical industries have implemented all types of equipment to meet demands in their respective fields. However, specifications of displays used in existing terminal sectors may not match backend computing equipment.The mismatch may cause users to spend more time to obtain information. In severe cases, it may even lead to misinformation and undermine system agility, causing performance to fall below expectations. To solve this, ADLINK has recently proposed the concept of "Edge Visualization" and offered a series of solutions to help system integrators, solution architects, and developers from different sectors build optimized visualization platforms.Antony Wu, Senior Director of the Industrial Display & Systems Business Center at ADLINK, explained, "Edge Visualization integrates two main architectures: edge computing and visualization to build a smart digital system that is effective and can meet users' demands."He further pointed out that edge computing is a new architecture derived from the recent wave of Internet-of-Things (IoT) technology. This architecture gives computing ability to edge equipment, lowering bandwidth requirements and system latency, increasing overall system performance, and therefore avoiding slow system responsiveness associated with centralized computing architectures.While possessing sufficient computing capabilities, edge equipment must also have data visualization functions to help users accurately grasp computing results and optimize management performance.By observing current industry developments, it is clear that edge computing and display technologies are mature. Mr. Wu stated that while the integration of displays and computing equipment looks simple, smart applications are still very fragmented and requirements for visualization and computing capabilities differ by industry. Furthermore, arbitrary combinations of these two major technologies without in-depth expertise may prove unsatisfactory for end users.Taking the healthcare industry as an example, Mr. Wu mentioned that in the era of smart healthcare, hospitals have deployed many types of equipment with displays that present vastly different content based on different application scenarios.For instance, payment kiosks mostly display healthcare items and prices. Self-registration kiosks are operated by users, so they contain fewer multimedia contents; however, they must provide agile and durable touch-screen operations. Medical imaging systems such as X-ray or CT scans put a high premium on image quality which is key to providing doctors with accurate information. For this reason, users of such systems may require maximized display dimensions, resolution, and color saturation.Due to the varying display requirements of equipment, excessively high or low specifications will result in misspent equipment costs or wasted computing equipment performance, leading to poor system benefits.However, integrating displays and edge computing equipment is no simple task. Mr. Wu pointed out that both displays and computing equipment need extremely specific expertise and without dedicated teams working in tandem to gain an in-depth understanding of terminal application scenarios, massive time and costs will be squandered in testing for displays and computing equipment to complement each other.The strategic alliance between ADLINK and AU Optronics allows both parties to work very closely in technical aspects. ADLINK has a solid technical foundation in the fields of edge computing and AI through many years of developing industrial computers. On the other hand, AU Optronics is a world-renowned panel manufacturer that has transformed into a visualization solution provider in recent years, with an excellent grasp of the requirements in various fields for vertical applications. By complementing each other's capabilities, both companies can assist system integrators, solution architects, and developers in building the most suitable edge visualization platforms.Mr. Wu said that ADLINK has had several successful cases in edge visualization solutions, he most representative being a recent project to design voting machines in the U.S. and logistics equipment in Germany.The voting machine, commissioned by a U.S. client, must meet extremely high reliability and security requirements, and must enable identity verification and network connectivity, so that any incident that may occur during voting can be immediately reported to poll workers or handled by law enforcement agencies.As for the logistics equipment in Germany, the solution was applied to refrigerated warehouses, allowing managers to instantly grasp the temperature, humidity, and pressure of refrigerated warehouses through a control panel. This facilitated the immediate handling of temperature loss or gas leak issues during storage or transport.Mr. Wu pointed out that edge visualization solutions have a broad range of applications with initial applications in four major fields: smart transportation, smart healthcare, smart enterprise, and smart manufacturing. ADLINK hopes to combine its professional edge computing technology with AU Optronics' technical advantages in displays to help system integrators, solution architects, and developers build platforms with advanced computing performance and excellent visualization capabilities that satisfy the demands of specific users in the field of smart digitalization.
The LEC-RB5 SMARC is a high-performance module, built with the Qualcomm® QRB5165 processor, allowing on-device AI and 5G connectivity capabilities for consumer, enterprise, and industrial robots. It features a high-performance NPU, an Octa-Core (8x ARM Cortex-A77) CPU, low power consumption, and support for up to six cameras. The Qualcomm QRB5165 processor, customized for robotics applications, is designed for running complex AI, deep learning workloads, and on-device edge inference efficiently while using low power.ADLINK Technology Inc., a global leader in edge computing, released the LEC-RB5 SMARC module –its first SMARC AI-on-Module based on a Qualcomm Technologies, Inc. processor. The Qualcomm QRB5165 processor is designed for robotics and drone applications; it integrates several IoT technologies in a single solution. The LEC-RB5 SMARC module provides on-device artificial intelligence (AI) capabilities, support for up to 6 cameras, and low power consumption. It is capable of powering robots and drones in consumer, enterprise, defense, industrial, and logistics sectors."This high-performing SMARC module is a good option for the next generation of high-compute, low-power robots and drones," said Henri Parmentier, Senior Product Manager, ADLINK. "It empowers customers to do everything they need for complex AI and deep learning workloads at the edge without relying on the cloud.""Qualcomm Technologies' portfolio of leading robotics and drones solutions is driving next-generation use cases, including autonomous deliveries, mission-critical use cases, commercial and enterprise drone applications, and more. The Qualcomm QRB5165 solution supports the development of next generation high-compute, AI-enabled, low-power robots and drones for the consumer, enterprise, defense, industrial and professional service sectors that can be connected by 5G. The ADLINK LEC-RB5 SMARC module will support the proliferation of 5G in robotics and intelligent systems," said Dev Singh, Senior Director, Business Development and General Manager of Robotics, Drones and Intelligent Machines, Qualcomm Technologies, Inc.For robotics and autonomous robot solution providers, the LEC-RB5 SMARC module provides the capability to build powerful robots for use in harsh industrial conditions and in temperatures that range from -30° to +85°C. The LEC-RB5 SMARC module features:*Qualcomm Kryo 585 CPU (eight ARM Cortex-A77 cores)*Qualcomm Hexagon Tensor Accelerator (HTA) running up to 15 trillion operations per second (TOPS)*Support for six cameras: MIPI CSI cameras CSI0 (2 lanes) and CSI1 (4 lanes)*Low power consumption: <12W*82 x 50 mm compact form factorThe LEC-RB5 is part of ADLINK's portfolio of SMARC form factors that support both ARM and x86 designs. ADLINK has worked closely with Qualcomm to design a smart, powerful solution for next-generation IoT applications. The module provides enhancements for computer vision (CV) applications with reduced latencies for real- time image processing decisions, freeing up capacity for other critical AI applications while delivering mobile-optimized CV experiences. Hardware acceleration for advanced CV applications with on-device AI capable of running complex AI and deep learning workloads at low power makes the LEC-RB5 SMARC module advantageous for a wide variety of industrial and consumer applications.Visit ADLINK Technology to learn more about the LEC-RB5 SMARC module and development kit.ADLINK releases its first SMARC module based on Qualcomm QRB5165, which enables high-performance robots and drones at low powerPhoto: Company
ADLINK EGX-MXM-A1000, EGX-MXM-A2000 and EGX-MXM-A4500 are the first modules to use NVIDIA's embedded GPUs based on NVIDIA Ampere architecture. ADLINK embedded MXM graphics modules offers high performance GPU acceleration in the compact, power-efficient MXM form factor, bringing edge computing and embedded AI to numerous vertical markets in healthcare, manufacturing, transportation, and more. Rugged design built for severe temperature extremes, shock and vibration, and corrosion in harsh conditions.ADLINK Technology Inc., a global leader in edge computing, today introduced the industry's first embedded MXM graphics modules based on the NVIDIA Ampere architecture, built for accelerated computing and AI workloads at the edge. The new embedded graphics modules deliver real-time ray tracing, AI-accelerated graphics and energy-efficient AI inference acceleration in the compact mobile PCI express (MXM) form factor. These modules enhance responsiveness, precision and reliability for mission-critical, time-sensitive applications in healthcare, manufacturing, transportation, gaming and other sectors."Computing and AI workloads are shifting from the cloud to the edge to shorten response time, enhance security and lower communication costs. With more and more data being processed at the edge, the performance requirements are getting higher while the power budget remains nearly unchanged. The NVIDIA Ampere architecture delivers a major boost in performance and power efficiency, which enables general computation, image processing and reconstruction, and AI inference at the edge to advance to the next level," said Zane Tsai, director of platform product center, ADLINK."The NVIDIA Ampere architecture delivers breakthrough performance and features, combining the latest generation RT Cores, Tensor Cores, CUDA Cores, PCIe Gen 4, and NVIDIA video codecs," said Scott Fitzpatrick, vice president of product marketing at NVIDIA. "As rendering and simulation become ubiquitous across industries, NVIDIA's latest embedded solutions offer up to 2x rendering performance, 2x FP32 throughput, as well as hardware-accelerated video encoding and decoding for significant increases in both graphics and compute workloads."Based on the NVIDIA Ampere architecture, ADLINK's embedded MXM GPU modules offer up to 5,120 CUDA Cores, 160 Tensor Cores, and 40 RT Cores with support for PCIe Gen 4 and up to 16GB GDDR6 memory at up to 115 watts of TGP. These modules can satisfy compute-intensive, graphics-demanding, memory-hungry applications. They are one-fifth the size of full-height, full-length PCI Express graphics cards, and are hardened to operate under severe temperature extremes, shock and vibration, and corrosion resistance for use in size, weight and power-constrained edge environments. These embedded graphics modules offer longevity support for five years. Developers, solution architects and system integrators can innovate new solutions with confidence that the supply is steady through a product life cycle.Applications of the embedded MXM graphics modules include:Healthcare: Accelerated image reconstruction for mobile X-ray, ultrasound, and endoscopic systemsTransportation: Real-time object detection on railways or airport runways to enhance transport safety Retail and Logistics: Navigation and route planning for autonomous drones and mobile robots (AMRs) to assist with last-mile delivery Aerospace and Defense: Time-sensitive and mission-critical command, control, communications, computers (C4) applications; intelligence, surveillance and reconnaissance (ISR) applications Gaming: Immersive and stunning visuals experience for multi-display gaming machinesFor more information, visit the product page here.ADLINK launches first embedded MXM graphics modules based on NVIDIA Ampere architecture for edge computing and AIPhoto: Company
Self-driving cars have been listed as an important focus for development by global car and technology companies. The successful development of the technologies will not only depend on the sensor and recognition technologies for the vehicles, it will also require digitized systems in the surrounding environments on the road. ADLINK has been working in this area for many years. Henry Hu, Global Business Development Director, Networking Communication and Public Sector Business Unit, ADLINK, stated that besides the high quality and high performance edge computing hardware understood by the industry, the software technology has also been completed in recent years. Through the integration of hardware and software, ADLINK can provide complete solutions for system integration companies and end users.In terms of self-driving cars, the image that most people have in their minds is of a car driving down the road with no one in the driver's seat. The car will set the route according to the passengers' instructions and avoid other cars and pedestrians on the road, safely taking the passengers to their destination. Henry Hu pointed out that this is the ultimate goal of self-driving cars. By looking at the development trends in society and industry, the goal will not be achieved at once, but will be completed through the gradual implementation of technology and infrastructure.He used autonomous rail rapid transit (ART) as an example. In the past, rail transport has involved the laying of tracks on the road, allowing trains to travel in a semi-enclosed space. In recent years, ART has been implemented on normal roads. Magnetic tracks are installed underneath the road surface. Vehicles only need ADAS driver assist systems, which include forward crash warning (FCW) and lane deviation warning (LDW), 2 matured technologies, to travel on the lane. At present, smart tracks have been officially launched in Hunan, China. Taiwan is currently promoting the technology and the Ministry of Transportation and Communications is formulating a budget. The industrial, governmental, academic and research capabilities of Taiwan will be invested to develop the technology. ADLINK will also actively contribute to the effort.Henry Hu stated that smart tracks are a representative application of smart transportation. The system requires the integration of cloud, edge computing and internet connected equipment. The hardware capabilities of ADLINK are well-known in the industry, and the industrial computers released by ADLINK have been widely implemented in various transportation areas. In recent years, the company has strengthened its software layout, with the merger of the UK software company, PrismTech, in 2015 as one of its strategies. The core technology of PrismTech is data distribution service (DDS). The technology was mainly applied to military manufacturing systems, and has now been extended to industrial IoT. The peer-to-peer real time data transmission of DDS is very suitable for automotive IoT. Furthermore, in order to accelerate industry development, ADLINK has not only published the source code of the technology, it has also promoted the use of the software in open-source robotics operating system (ROS) and open-source self-driving technology of the Autoware Foundation (AWF). Currently, Jim Liu, CEO of ADLINK, is one of the 5 directors of AWF, which is assisting in the development of self-driving cars.The complete industry layout of its software combined with the advantages of existing hardware, and with the ecosystem created in recent years, has allowed ADLINK to provide the most complete industry solutions. Using traffic cameras as an example, Henry Hu said that in the past, cameras at intersections were mainly for catching speeding vehicles. In recent years, the law enforcement application of the technology has been expanded and more functions have been implemented. ART mentioned above is one such function. Currently, the self-driving bus service implemented by the Ministry of Transportation and Communications and Hsinchu County Government on the roads surrounding the Zhubei high speed rail area, uses the ADLINK solution. In this solution, ADLINK partners has integrated LIDAR, radar, cameras, and communication modules into the smart intersection system. The various equipment of the system can share intersection data through sensor and IoT technology, creating a smart traffic system with comprehensive functions. For ADLINK, creating a complete smart transportation system with eco-system partners is focused on establishing a comprehensive structure that can allow self-driving cars to safely travel with the C-V2Xd framework.Henry Hu stated that Taiwan has been devoted to the development of self-driving cars in recent years. Taiwan is currently one of the leaders in technology and in terms of industry capabilities, Taiwan companies show great promise. ADLINK has been invested in self-driving cars for a long time. Besides providing integrated self-driving system development kits (G-AD-KIT) to help developers and academic institutions invest in applications for minimal R&D and labor costs, the company has also accumulated extensive system construction experience through partnerships with various global companies. In the future, ADLINK will continue to use its products and experience to cultivate domestic companies and transform smart transportation into an important industry for Taiwan.Learn more about ADLINK's Autonomous Vehicle SolutionsHenry Hu, Global Business Development Director, Networking Communication and Public Sector Business Unit, ADLINKPhoto: Company