EE Challenge Award-EE Awards-EE Times

Product：DeepTransformCore

Recommended reasons： DeepMentor has launched a Transformer accelerator optimized for language and visual tasks. This breakthrough solution leverages our patented miniaturization technology to dramatically reduce memory bandwidth requirements. Integrating an innovative encoder–decoder multimodal IP architecture, flexibly supporting standard DRAM configurations and multiple FPGA platforms, thereby significantly accelerating the verification process. It supports low-latency (under 2 seconds) speech-to-speech multimodal LLM model applications. DeepTransformCore provides exceptional integration flexibility to meet diverse application needs, helping products go from prototype to deployment faster. Leveraging a mature 22 nm process node for proven yield and lower mask costs, we integrate two or four DDR4-2666 dies to ensure ample memory bandwidth, implement SPI for MCU command and control, and embed an I²S interface for high-quality audio streaming. This co-designed AI SoC delivers the market’s most cost-effective accelerator and, as a companion to existing MCUs, seamlessly upgrades them with AI capabilities. DeepTransformCore is ideal for edge AI scenarios such as voice-controlled home appliances, interactive toys that understand and speak, natural-language ordering kiosks, in-car voice assistants in smart cockpits, and conversational educational robots. Our on-device IP eliminates cloud dependency and latency, delivers accurate speech recognition and synthesis, and preserves user privacy—all with minimal power and cost.

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National Formosa University

Product：realtime analysis of T cell activity

Recommended reasons： Real-time detection of T cell activity and classification through CD3 staining and AI technology is something that current equipment and techniques have yet to achieve. With this advancement, doctors can instantly assess a patient's immune cell activity during consultations, enabling them to provide the most effective cancer treatments. It also enhances the efficiency of quality control in the cell therapy industry. The cost is less than one-tenth that of existing technologies, with an accuracy rate of 94% for cell identification and 95% for activity detection.

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DAINVI Limited

Product：Digivue Pro™ – Edge AI for Human Eyes & for Industry’s Future

Recommended reasons： Digivue Pro™ – Edge AI for Human Eyes, and for Industry’s Future In many manufacturing sectors, visual inspection remains a manual, eye-intensive task. Inspectors often spend hours staring at reflective surfaces—metallic parts, polished finishes, or intricate assemblies—under harsh lighting. Over time, this leads to chronic eye strain, fatigue, and even long-term vision damage. As a result, younger generations avoid entering the field, while experienced inspectors are aging out with deteriorating eyesight. This silent crisis threatens the sustainability of quality control and production reliability. Digivue Pro™ addresses this challenge head-on. It is an Edge AI–powered visual digitisation platform designed to protect human vision while preserving industrial expertise. By combining ergonomic hardware with real-time AI analysis, Digivue Pro™ transforms inspection from a purely visual burden into a guided, data-driven process. Key Benefits: • Eye Relief: External monitor integration and anti-glare shielding reduce direct eye exposure. • AI Co-Pilot: Edge AI models assist in detecting defects, reducing reliance on human judgment alone. • Workforce Sustainability: Enables aging experts to continue contributing, while making the job more attractive to younger talent. • Offline Intelligence: All AI runs on-device, ensuring privacy, low latency, and deployment flexibility. Digivue Pro™ is more than a tool—it’s a vision care solution, a productivity booster, and a bridge between generations. It exemplifies how Edge AI can create a more humane, sustainable, and intelligent future for industry.

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Great O’Bay Limited

Product：Recycled Metal Waste Risk Management System

Recommended reasons： Metal Waste Recycling Risk Management System The "Metal Waste Recycling Risk Management System" is a comprehensive solution that integrates innovative technology to effectively prevent accidents while recycling scrap metal. The design, features, functions, and technologies of this system revolve around three core principles: safety, efficiency, and environmental protection. Design The system's design emphasizes user-friendliness and modularity, making it easy to operate and maintain. The overall interface is clear and straightforward, allowing operators to quickly get accustomed to it. The setup is flexible and can be adjusted according to different recycling needs. Additionally, the system is designed to consider the diversity of on-site environments, featuring dust and water resistance to ensure stable operation even in harsh conditions. Features The system is equipped with multiple safety measures, including collision detection, emergency shutdown, and automatic alarm functions. These features enable real-time monitoring of equipment operation and immediately trigger alarms upon detecting anomalies, thus protecting operators' safety. Furthermore, the system has built-in environmental monitoring capabilities that can detect harmful gas concentrations in real-time and issue alerts to prevent chemical hazards. Functions This system provides comprehensive risk assessment and management capabilities. Through data analysis, the system can evaluate the potential risks associated with different types of metal waste and develop corresponding handling plans based on the assessment results. Additionally, the system supports operator training by offering a virtual simulation environment to help them familiarize themselves with operational procedures and enhance safety awareness. Technology On the technical level, the system employs advanced artificial intelligence and Internet of Things (IoT) technologies. AI algorithms can analyze historical data, predict potential risks, and optimize operational processes. IoT technology enables seamless connectivity between devices, facilitating real-time data sharing and improving overall operational efficiency. By combining these cutting-edge technologies, the system not only enhances recycling efficiency but also minimizes the risk of accidents. In summary, the "Metal Waste Recycling Risk Management System" provides a safe and efficient solution for the recycling of metal waste through the integration of innovative design, safety features, comprehensive functions, and advanced technologies, making a significant contribution to environmental protection efforts.

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DigWise Technology

Product：DTCO.GenAI (Virtual Silicon)

Recommended reasons： Generative Al GAN Diffusion Model WAT Super Resolution (WAT-SR) High-Efficiency SPICE-Silicon Bias Modeling (He-SSBM) High-Fidelity Generative Monte Approximation (HΣ-GMA) Multivariate Normal Distribution

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Feng Chia University - Advanced Control & System Integration (ACSI) Lab.

Product：From Perception to Prediction! The Next-Gen Vehicle Pre-Crash Safety Warning Evolves Toward Proactive Intelligence

Recommended reasons： The system combines object detection, intention inference, and trajectory prediction, optimized via model lightweighting. It operates at 30 FPS on an automotive edge AI platform and has passed on-vehicle tests. Leveraging temporal attention, gated mechanisms, and multi-modal inference, it improves dynamic risk recognition. Powered by Taiwan's first risky road user dataset (TaRRD), it demonstrates strong predictive accuracy and real-world deployment potential in complex traffic scenarios. The system is applicable to sudden risk alerts, autonomous driving behavior prediction, and traffic risk forecasting.

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