The human hand is an engineering marvel. With up to 27 degrees of freedom, it can perform tasks ranging from heavy lifting to the delicate threading of a needle. Replicating this dexterity in a machine has long been considered the "Holy Grail" of robotics. At the upcoming COMPUTEX 2026, one Canadian startup is set to demonstrate that this goal is finally within reach. Sarcomere Dynamics, founded in 2021, is bridging the gap between mechanical rigidity and human-like finesse by combining sophisticated hardware with what industry experts call "Embodied  AI" where software intelligence is translated into high-performance, real-world  interaction. CEO Harpal Mandaher, a 32-year veteran of the Canadian Armed Forces, discussed the company's journey from a student project to a pioneer in the next generation of robotics. From a Son's Vision to Industrial RealityThe story of Sarcomere Dynamics is a family affair. The company was founded by Harpal's son, Avtar, the current CTO, while he was studying at the University of British Columbia. Initially, the mission was deeply personal: to create an affordable, highly functional prosthetic hand for upper-limb amputees. "The first prototype was sophisticated, with 11 degrees of freedom," Harpal explains. "But it was  too complex for a patient to control easily. However, we noticed immediate interest from industrial players who saw the potential for this hand to automate assembly, sorting, and pick-and-place tasks". Seeing the opportunity to impact both the medical and industrial sectors, Harpal and his wife, Nancy - also a military veteran and retired professional nurse - joined as initial investors and co-founders. Solving the Weight-to-Power PuzzleMost robotic grippers today are simple "pinchers" designed for specific repeating tasks in controlled settings, but not suitable for complex manipulation of objects of different sizes, shapes, textures, or weights. For these high-mix tasks, the human hand is ideal. To create a hand that truly replicates human capabilities, Sarcomere had to overcome significant mechanical hurdles. "Ideally, for every movement, you need a motor," says Harpal. "Juggling 27 motors leads to massive problems such as heat, weight, interference, and movement control".  Their solution, the Artus robotic hand, is a masterclass in compact engineering: 1. Form Factor: the size of an average human male's hand (it is actually modelled off the CTO's hand). 2. Lightweight: Weighing only 1.1 kg to 1.4 kg, the Artus hand can be used on smaller, more cost-effective robotic arms without exhausting their payload capacity. 3. Durability: Rated for millions of cycles in industrial applications. Key structural components are reinforced with aircraft-grade aluminum to handle payloads up to 20 kg. The Move to Embodied  AI and "Artificial Skin"Dexterity is nothing without a sense of touch. Sarcomere is currently working with technology partners like Nanosen (Germany) to integrate a layer of "artificial skin" over the hand. This thin sensor layer allows the robot to feel grip force and detect proximity, adding a critical layer of safety. "If someone touches the back of the robot arm, the machine will know," Harpal notes. "It can pause or react, just as a human would". This technology is paving the way for Teleoperation in hazardous environments. By wearing a haptic glove, a technician in a safe zone can control the robotic hand naturally and intuitively from a distance. Inside the glove are tiny inflating bubbles to provide tactile feedback (sense of touch), allowing the operator to "feel" what the robot is touching - a gamechanger for nuclear decommissioning, bomb disposal, or handling hazardous chemicals. Why Taiwan?As Sarcomere Dynamics eyes global scale, Taiwan sits at the center of their roadmap. Their presence in Taipei for COMPUTEX underscores the island's growing role as the indispensable foundation for the next generation of robotics. Harpal is focused on three key goals, including securing supply chain resilience, exploring the potential to outsource manufacturing and assembly to Taiwan's world-class OEM ecosystem, as well as to find "embodied  AI" experts and local robotic arm manufacturers to create integrated, plug-and-play systems."We haven't lost sight of why this started," Harpal says. "As we harden the technology for industrial use, we're continuing prosthetics development in parallel, so the same advances in dexterity, sensing, and control translate into a more capable and more affordable prosthetic hand.  "

As Low Earth Orbit (LEO) satellite competition intensifies, satellite communication has evolved from a terrestrial supplement into a core infrastructure for AI and cloud services. Emtar Technologies, a Canadian chip design startup founded by Taiwanese-Canadian entrepreneur Alvis Huang, is emerging as a critical player in this shift. Leveraging his background as a Marconi Young Scholar, Huang has led Emtar to develop groundbreaking 6G Non-Terrestrial Network (NTN) chips that have already garnered support from TSMC and the Canadian government.Breakthrough Performance: The "Private Library" ArchitectureAt the recent TSMC North America Technology Symposium, Emtar conducted a Live Demo of its 6G NTN solutions, demonstrating high strategic value to the semiconductor supply chain. Emtar's chipset - comprising high-performance RF Front-End ICs and Intelligent Beamforming chips - acts as the system's "sensory organs and brain."Unlike traditional architectures where transceivers must "queue" to access shared memory (SRAM), Emtar utilizes a disruptive fully embedded memory design paired with proprietary algorithms. This gives each transceiver a "private library" for instantaneous data scheduling, resulting in: 1. 10x faster tracking and position prediction. 2. 2x higher reception sensitivity. 3. Significant power savings (dozens of watts), solving critical heat dissipation issues for satellite equipment.National Recognition and Global ExpansionEmtar's strategic importance is backed by high-level Canadian endorsement. Maninder Sidhu, Canada's Minister of International Trade, recently led a trade mission to South Korea to facilitate partnerships between Emtar and satellite equipment giants. Additionally, Emtar was named "Startup of the Year" by Canada's Semiconductor Council (CSC), an organization featuring industry titans like AMD, Intel, and Qualcomm.The Future: Data Centers in SpaceHuang anticipates the LEO market will reach 2 billion users within seven years, driven by "Data Centers in Space." Cloud providers are eyeing orbital AI deployments to mitigate terrestrial geopolitical risks. This shift demands high-efficiency satellite access for everything from autonomous drones to maritime vessels - these are Emtar's primary target market.With products entering mass production by year-end, Emtar is currently engaging with Taiwanese ODMs and space agencies during COMPUTEX Taipei. As products head toward mass production by the end of the year, Emtar plans to launch its Series A funding round. Huang emphasized that he is looking for investors with Silicon Valley experience who can provide top-down strategic resources to help Emtar connect with tier-one global satellite operators. From a Canadian startup to an industry star, Emtar is poised to leave its mark on the 6G space race, blending Taiwanese entrepreneurial resilience with North American technical innovation.

Montreal-based AON3D is setting a new standard through its mastery of high-performance materials and precision 3D printing technology.Co-founded in 2015 by Andrew Walker, Randeep Singh, and Kevin Han - who started the company in his family's basement - AON3D has evolved into a global leader in high-performance additive manufacturing.With an eye on the Taiwan market at COMPUTEX 2026, Han and his team are ready to bridge the gap between complex aerospace technology and the agile SME ecosystem.The Materials Engineer's VisionKevin Han'’s journey began at McGill University with a background in materials engineering. After operating as a service bureau, Han recognized a gap in the market for machines capable of handling specialized materials. Through multiple product iterations, AON3D today offers it's Hylo High-Temperature 3D Printer, along with Basis, it's advanced physics simulation software for additive manufacturing. Hylo and Basis: AI-Infused and Physics-BasedAON3D's product suite offers an AI-infused manufacturing solution that reduces the trial and error usually experienced in additive manufacturing processes. "What we do is actually model out at the physics level what's going to happen as you run the print job," says Han. "Our technology creates a digital twin of the print, meaning we can use simulation to identify process irregularities that lead to hidden defects, instead of in post-production."Within the Basis platform, simulated data and real data are also compared to offer automatic optimizations. The Power of "Open Materials"AON3D's primary competitive advantage is its "Open Materials" philosophy. Unlike competitors that "lock" users into proprietary, expensive filament spools - much like the cartridges on a paper-based printer - AON3D's platform is supply-agnostic. "We support the full gamut of industrial polymers, but many customers are most interested by high-performance varieties like PEEK, PEKK, and PEI (Ultem)," Han explains. "This includes their carbon and glass-fibre variants, where strength and lightweighting benefits most appeal to demanding industries like aerospace and defense." From NASA to the Factory FloorAON3D's credentials extend to outer space. The company has worked with the Canadian Space Agency (CSA) to print components for the International Space Station, and their parts were aboard the Artemis 1 mission.Closer to home, AON3D's solutions are used by customers like Boeing, Lockheed Martin, Northrup Grumman, and more in aerospace, while also offering benefits to automotive, energy, and general manufacturing. One automotive customer saw fully payback under 2 months for their first Hylo purchase, and is eagerly awaiting more. Leveraging Taiwan's EcosystemAt COMPUTEX 2026, AON3D aims to connect with Taiwan's semiconductor packaging and testing sectors. Beyond chips, they see massive potential in Taiwan's drone industry and medical prosthesis field. Hylo's ability to "light-weight" components makes it ideal for rapid drone iteration.  "We want to bring capabilities to a group that didn't have them before," Han concludes. AON3D isn't just selling a printer; they are offering a gateway to the next generation of industrial manufacturing.

As global manufacturing accelerates its smart-factory transition, computer vision is taking on an increasingly critical role in industrial quality inspection. Canadian AI startup DaoAI, on the strength of its innovative AI vision technology, has secured partnerships with international heavyweights including Siemens and BASF. Co-founder and CTO Xiaochuan Chen explains how DaoAI uses "Feature Cognition Inspection" to solve the high false-call rates and time-consuming programming pain points of traditional Automated Optical Inspection (AOI), and reveals plans to actively pursue deeper partnerships with Taiwanese equipment makers and distributors during COMPUTEX 2026.From Academic Research to Industrial Practice: Bringing AI to the Electronics Manufacturing FloorDaoAI CTO Xiaochuan Chen has been working in AI and vision research in Canada since 2014 - right at the inflection point of deep learning. In 2017, he co-founded DaoAI in Vancouver alongside a partner with a track record of successful entrepreneurship, leading a top-tier AI vision team drawn from University of British and University of Waterloo and focused squarely on industrial automation.Chen sees enormous potential for AI in manufacturing across both North American and Asian markets. DaoAI's technology not only lifts production yield but also protects enterprise data sovereignty through its on-premise data architecture. "We understand that in any digital transformation, the security and ownership of data is a core interest for manufacturers - and that's the foundation our technology is built on," Chen says.Solving the Long Programming Cycles and High False-Call Rates of Traditional AOITraditional AOI algorithms running on PCBA (printed circuit board assembly) inspection lines are notorious for high false-call rates. Chen explains that conventional algorithms rely heavily on color matching or pixel-level comparison - when, for example, a resistor and the board substrate are both black, traditional algorithms struggle to tell them apart.DaoAI's core technology is Feature Cognition Inspection. The model is pretrained on a dataset of more than one million images, abstracting what the AI sees into a specialized feature space. The advantages show up at two levels: 1. Multi-dimensional differentiation: the AI no longer compares colors - it precisely distinguishes whether a defect is present on a component within feature space. 2. Continuous learning: the system mirrors how humans learn. If the AI gets a call wrong on the first pass, the inspector's feedback is fed into its memory system, so the next time a similar component appears, the same mistake doesn't recur."We pretrain a PCBA-specific inspection model on real production-line data," Chen explains. "All the customer needs is a single 'reference board.' Without any CAD file or component library, the AI identifies the location of every component, automatically generates inspection regions, and automatically calculates thresholds. Programming can be done in seconds or minutes - the AI takes over the part of AOI that historically required the most human intervention."This kind of fast programming is especially well-suited to high-mix, low-volume production. It dissolves the bottleneck that NPI (new product introduction) phases used to hit, where modeling was slow and dependent on dedicated programming engineers.Solving the Compute-and-Sovereignty Trade-off Without Cloud DependenceFor data sovereignty and information security issues that customers care about deeply - DaoAI runs 100% on-premise. To deliver high performance within the limited compute budget of edge hardware, DaoAI takes a "pretraining + rapid fine-tuning" approach: customers run a pre-tuned, optimized specialty model locally while keeping their data fully secure.Cross-Border Partnerships and the COMPUTEX Strategy: Complementing Taiwan's Supply ChainDaoAI has already established deep partnerships with Siemens (electronics manufacturing and automation platform integration) and BASF (vision analysis applications in chemicals). Looking ahead, Chen is bullish on the Taiwan market and announced that DaoAI will participate in COMPUTEX for the first time this year.DaoAI positions itself as a vision-AI application company, Chen says, and the trip to Taiwan has two strategic objectives: 1. Hardware integration: partner with local Taiwanese equipment manufacturers to combine DaoAI's AI software algorithms with Taiwan's high-quality hardware, delivering customized solutions. 2. Distribution expansion: identify professional distributors and service partners in Taiwan to get closer to local electronics manufacturing customers.Beyond Surface Mount Technology line inspection, DaoAI is also strongly interested in semiconductor packaging and testing and is looking to co-develop new applications with Taiwanese probe and inspection equipment makers - pushing the boundaries of vision AI further still.

The dream of a world without charging cables - where phones, headsets, and even industrial robots never need to be plugged in - is moving from science fiction to reality. AWL Electricity, often referred to by partners as All Electricity, is at the forefront of this shift by leveraging advanced semiconductor breakthroughs to deliver power wirelessly over distance. As the company prepares for COMPUTEX 2026 in Taipei this June, it aims to solidify its position as the global leader in mid-power, mid-range wireless charging.The Breakthrough: GaN and the Five-Foot RadiusThe foundation of AWL Electricity's technology lies in a scientific leap made in 2017 by the invention of CEO Emmanuel Glenn. While the concept of wireless power dates back to Nikola Tesla, traditional low-frequency methods were often unsafe or impractical due to the extreme power required at low frequencies. By utilizing Gallium Nitride (GaN) transistors, the company successfully increased operating frequencies while reducing electric field strength, making the technology safe and highly practical.Unlike standard charging pads that require direct contact, AWL-E's Resonant Capacitive Coupling technology focuses on a 1.5-meter (five-foot) radius. Francis Beauchamp-Verdon, Co-Founder and Chief Revenue Officer, explains that human moves around within a five-foot bubble, whether at a desk, in a car, or at a café. While the company remains "planet-centric" and advises that high-power stationary devices like coffee machines or electric vehicles should remain wired for maximum efficiency, wireless power is reserved for mobility and devices where cables create significant friction.Transforming Industry 4.0Beyond consumer electronics, AWL-E is targeting the "New Age of Physical AI" and smart manufacturing. Modern factory lines can require between 40,000 to 50,000 sensors, with an automotive leader noting that every single wire adds significant connection costs. AWL-E's solution eliminates the need for traditional cable management and drag chains into robotic cells. By powering humanoids and autonomous guided vehicles (AGVs) while they work, factories can eliminate 20% downtime typically lost when robots must sit next to a charging wall.Strategic Objectives for COMPUTEX 2026Taiwan holds a special place in the AWL-E story, as its semiconductor ecosystem enabled the company's initial breakthrough. During the COMPUTEX 2026 mission, the company seeks to collaborate with Taiwanese chip leaders to transition their technology into a dedicated Wireless Power Chip, which would make the solution smaller, cheaper, and more accessible. Additionally, the company hopes to help Taiwan improve its own chip-making tools, specifically in vacuum environments where wires are a "worst enemy," creating a symbiotic relationship where AWL-E powers the machines that build the chips.Beauchamp-Verdon will be carrying a portable demo unit to the event to prove that this innovation is ready for today's market. He believes that seeing technology in action is essential for the Taiwanese industry, where "seeing is believing" is a core mindset. AWL-E currently maintains flagship projects in consumer electronics, automotive, and factory automation across Asia and intends to use this visit to find the right partners for their next level of expansion.

In the high-stakes world of global security and emergency response, the shift toward "video-centric" operations has created a massive technical bottleneck: the struggle to transmit high-quality data over narrow, unreliable bandwidth. Secure City Solutions, a Canadian fast-growing company, is bridging this gap between military-grade demands and smart city infrastructure.In an exclusive interview, Siva Kumar, CEO of Secure City Solutions, explained why Taiwan plays an essential role in the company's global expansion, and why he has signed up to attend COMPUTEX 2026 in Taipei in June. "We not only want to address the Taiwan market, but we're also looking for hardware manufacturers for our global deployment."The company was born from a specific challenge faced by founders with deep military and defense backgrounds, including former General Dynamics leadership and a Colonel in the Canadian defense forces. They recognized that whether in a military conflict or a law enforcement pursuit, personnel often struggled to send big data over radios with low bandwidth. This led to the development of a unique solution designed to deliver forensic-quality video from one point to another without losing the essential details required for legal and operational use.At the heart of their offering is the Omni Compressor, a neural-type algorithm that drastically shrinks the digital footprint of video data. While traditional compression often drops frames or reduces resolution to save space, Secure City's technology maintains the original frame rate and resolution. This is a critical distinction for law enforcement, as compromised video quality is often inadmissible in court. Beyond the legal sector, the compression allows commercial entities like banks to store eight to nine times more footage on existing hardware without losing clarity. The company also claims to reduce costs by 75% compared to other solutions.The real-world impact of this technology is already visible in major global deployments, such as with the Dubai Police and over 45 other law enforcement agencies. The software allows police units to share live video from patrol cars or body cameras over weak wireless spectrums, ensuring that backup units can monitor officers entering dangerous areas. Firefighters have also adopted the technology, using helmet-mounted cameras to transmit live feeds to commanders who guide them through burning structures to rescue civilians. Even in rural areas where 5G is unavailable, the algorithm automatically adjusts to available bandwidth and uses high error correction to keep feeds stable despite network noise or jitter.As artificial intelligence becomes more prevalent in surveillance, Secure City Solutions serves as a vital performance booster. By reducing data sizes - for instance, from 100MB to 10MB - while maintaining original quality, the software allows AI models to process information and produce results much faster than they could with uncompressed files.Looking toward the future, Kumar is exploring strategic partnerships in Taiwan to address local needs for data sovereignty and hardware manufacturing. While the company has been successfully bootstrapped by its conservative, veteran leadership, they are now open to strategic investors to fuel a more rapid global expansion into new verticals like transportation and medical services. Secure City Solutions aims to ensure that no matter how narrow the pipe, the most critical data always gets through.

Mecademic Industrial Robotics, a Montreal-based robot manufacturer in Canada, is redefining the landscape of precision manufacturing through its pioneering work in micro-automation. At the heart of their innovation is the Meca500, a six-axis industrial robot designed with a footprint so compact that it matches the size of a standard sheet of letter paper when in its shipping pose. "Everything that has gone into this design has been aimed at achieving the highest possible precision," said Naveen Krishnan, Director of Application Engineering at Mecademic. "For us, five microns is the ultimate goal." While traditional industrial robots often rely on bulky external cabinets, Mecademic's architectural simplicity integrates the controller directly into the robot's base. This plug-and-work system eliminates the need for large external hardware, saving critical floor space in capital-intensive environments like clean rooms.Unmatched PrecisionMecademic specializes in micro-automation, addressing a market segment that requires extreme precision in a small footprint. Their flagship Meca500 achieves a repeatability of five microns - thinner than a red blood cell. According to Naveen Krishnan, this level of precision is the result of a "ground-up" design philosophy. Unlike systems built from commercially available off-the-shelf (COTS) components, Mecademic vertically integrates its mechanical, electrical, and software designs, using specialized harmonic drives and high-precision encoder systems to ensure reliability and performance.An Open and Accessible ArchitectureAs noted above, one of the company's most significant innovations is the integration of  the controller directly into the robot's base, eliminating the need for bulky external cabinets. This "plug-and-work" architecture allows system integrators to replace complex, fixed Cartesian systems with a  single, more flexible manipulator.Furthermore, Mecademic has adopted an open, language-agnostic approach to programming. Instead of forcing users to learn proprietary languages, the robot can be operated via a TCP/IP interface using modern languages like Python or C#. This lowers the barrier to entry for New Product Introduction (NPI) teams and process engineers who may not be traditional automation experts. For industrial users with a requirement for industrial real-time fieldbus protocols, there is native support for Ethernet/IP, EtherCAT, and Profinet built into the standard system.Targeted Applications and Market StrategyMecademic targets high-tech verticals where miniaturization is the dominant trend, specifically within the semiconductor, medical device, and optics sectors. The Meca500 is particularly effective for tasks that involve handling very small parts typically managed by human operators using tweezers under a microscope, such as assembling medical implants or characterizing sensors. To further address niche demands, the company introduced the Meca500-OB, which uses specialized finishes and light-absorbing materials to reduce reflectivity during sensitive measurement tasks involving lasers and interferometers.Key industries include: 1. Electronics & Semiconductors: Handling small parts for testing, assembly, characterization, and sensor validation. 2. Life Sciences & MedTech: Lab automation, sample handling (microplates/vials), and medical device assembly. 3. Optics & Photonics: Sensitive measurement tasks using the Meca500-OBto prevent reflectivity during laser interferometry.Looking Toward COMPUTEX 2026As Mecademic prepares for the InnoVEX, the company aims to educate the market on how micro-automation can bridge the gap between manual labor and full-scale industrial robotics. Philippe Beaulieu, CEO, and Ammon Liu, Sales Director ASEAN, are expected to represent the firm in Taipei.By replacing capital-intensive manual processes with repeatable, high-throughput robotic solutions, Mecademic provides the essential hardware platform necessary for the next generation of AI-driven, high-precision manufacturing.

As the global technology industry descends on Taipei for COMPUTEX 2026 this June, a Canadian startup is preparing to challenge the fundamental architecture of modern processing. Irreversible, a Montreal-based firm with deep roots in quantum computing, is unveiling a "physics-first" analog in-memory computing architecture that promises a staggering 1,000x reduction in power consumption compared to conventional digital processors.Unlike many silicon startups that originate in traditional chip design, Irreversible’s journey began in the highly constrained world of quantum physics. The core team originally specialized in quantum computing, where they were forced to solve computing problems within the extreme limitations of a dilution refrigerator - an environment where even the slightest heat or noise can destroy a fragile quantum state. Co-Founder Dominic Marchand explains that this background led them to become a "computing company that found its way to designing chips," rather than the reverse. This unique DNA pushed the team to strip away decades of architectural abstractions and return to the most basic laws of physics to find the most energy-efficient ways to process information.The current industry obsession with massive Large Language Models (LLMs) has created a significant energy crisis, particularly at the "extreme edge" where devices must operate on microwatt-class power. Irreversible addresses this by sidestepping the Von Neumann bottleneck, the energy-intensive movement of data back and forth between memory and the processor. By performing calculations directly in memory and maintaining a fully analog signal path, Irreversible also eliminates the power-hungry digital-to-analog conversions that often limit hybrid AI chips. This approach recognizes that while digital logic offers noise protection, the energy required to strictly maintain ones and zeros is a luxury that edge sensors can no longer afford.A critical point of differentiation is how Irreversible compares to other innovators in this space. Marchand notes that while he is proud of the Canadian leadership in analog in-memory compute, Irreversible maintains several distinct advantages. First, the company is memory-agnostic, meaning they are not tied to a single proprietary memory technology and can instead utilize various non-volatile memories and emerging RRAM roadmaps. Second, the company places extraordinary emphasis on its software and simulation tools, which allow their hardware and software teams to work in lockstep. Their proprietary hardware-aware training ensures that neural networks remain accurate by accounting for the inherent variability of analog circuits during the initial training phase.For their up-coming visit to Taipei, Irreversible has set clear strategic objectives to integrate with the world's leading semiconductor ecosystem. A primary goal is establishing high-level connections with semiconductor foundries to gain privileged access to specific memory cells, which are essential for their "physics-first" custom designs. Additionally, the company is actively seeking partnerships with OEMs and solution integrators. By bringing intelligence directly to the sensor site, Irreversible aims to enable "previously impossible" use cases, such as deploying sophisticated AI on small drones or always-on wearable devices that cannot support a traditional GPU. Ultimately, Irreversible arrives in Taipei not just to showcase a chip, but to advocate for a shift in how the world thinks about intelligence. By trading the rigid certainty of digital bits for the natural efficiency of physics, they are proving that the future of AI isn't just about more power - it's about more efficient computing.

Test Research, Inc. (TRI), the leading provider of Test and Inspection solutions for the electronics manufacturing industry, is proud to announce the launch of the TR7950Q SII Series. This highly modular platform is a dedicated solution for Back End Process and Advanced Packaging Inspection, ranging from patterning to wafer saw, and is engineered to set new benchmarks in wafer inspection and micro-measurement metrology.The AI-powered Wafer Metrology and Inspection Platform, TR7950Q SII, is built on a high-stability granite platform and the system supports 6" to 12" wafers. The platform features robust Automated Visual Inspection (AVI) for high-speed detection of surface defects, including particles, scratches, chipping, contamination, and foreign materials.The optional Short-Wave Infrared (SWIR) module allows the system to penetrate silicon to detect hidden inner cracks and subsurface defects invisible to standard sensors. For high-detail requirements, the platform offers 0.5 µm or 1 µm high-resolution imaging via the 3D DFF (Depth from Focus) module.The TR7950Q SII provides high-precision metrology for wafer thickness, top-side warpage, and complex surface topography, alongside high-speed sensing for Through-Silicon Via (TSV) depth, trench dimensions, thin film, and Chiplet metrology. Please visit the link to learn more about the TR7950Q SII.Credit: TRI

Cincoze has unveiled its all-new CV-200 Series slim-bezel industrial displays. The CV-200 Series features a minimalist profile, a narrow bezel, and industrial-grade reliability for industrial panel PCs and industrial touch monitors. Specifically engineered for modern factory HMI and process visualization, they carefully balance the durability required for harsh environments with seamless equipment integration and intuitive operation. The modular design of the CV-200 Series offers screen sizes from 10 to 21.5 inches for over 40 possible configurations. The first release is the 21.5" Full HD models with almost ten configuration options for various application needs.Ultra-Slim Bezel, High Visibility, and an Intuitive User ExperienceThe CV-200 Series offers clear visuals and smooth operation, and integrates easily into production line equipment. Its slim, die-cast aluminum alloy frame has a bezel less than 3mm wide, increasing the display area without changing existing equipment setup. The Full HD screen and 178° wide viewing angle ensure clear and crisp readability from any position. Every model features a projective capacitive (P-Cap) touchscreen with an anti-glare (AG) coating for the clearest images, even in high-brightness indoor lighting conditions. Touch response is fast and precise, making daily HMI operation smoother and more natural.Rugged and Durable for Industrial and Humid EnvironmentsThe CV-200 Series is built to handle harsh, humid industrial environments. It has an IP66-rated front panel and Wet Tracking technology, so the touchscreen works reliably even with wet fingers or splashes of water. The backlight lasts up to 50,000 hours, and a 7H hardness Glass-Glass (GG) panel adds durability. The CV-200 Series meets the IEC 61000-6-4 industrial EMC standard, ensuring stable, long-term operation and giving operators total peace of mind.Flexible Modular DesignCincoze's exclusive Convertible Display System (CDS) technology lets you pair the CV-200 Series with embedded computer modules (P2000/P1000 Series) or monitor modules (M1000 Series). Customers can configure the system as either an industrial panel PC or an industrial touch monitor, depending on display size, computing performance, and functional requirements. This plug-and-play design simplifies deployment and maintenance. If repairs are needed, only a single module needs to be replaced, cutting downtime, lowering maintenance costs, and streamlining future upgrades.