j5create, a global leader in 3C peripherals and smart workspace solutions, is showcasing a comprehensive lineup of new smart connectivity products at COMPUTEX 2026. Focusing on cross-device collaboration, wireless audio/video (AV), smart desktops, and AI-integrated applications, the exhibition demonstrates how j5create is expanding beyond traditional connectivity hardware to deliver a more intuitive, unconstrained digital experience

PEGATRON Corporation (PEGATRON) officially opened its booth at COMPUTEX 2026, presenting its AI Tech Maker strategy and its role in helping move AI from infrastructure planning to real-world deployment

Technology news, product launches and show highlights from the event attendees available for download (PDF).

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.

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.

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.