Live crowd movement information is crucial in busy public spaces. Manual checks and basic sensors often lack accuracy and fail to keep up with real-time changes. The People Counting System uses AI video analytics and multi-sensor fusion. It delivers accurate, real-time crowd data. The system automatically counts people, tracks direction, monitors density, and provides instant alerts and reports. Deep learning ensures accuracy in low-light or crowded conditions. Multi-target tracking prevents double-counting. Edge computing and cloud-based management enable on-site analysis and long-term monitoring. Integrating cameras, infrared, Wi-Fi, and Bluetooth data improves detection and increases coverage. The system generates real-time heat maps, flow analyses, and historical records. These support layout optimization, entry regulation, evacuation planning, and efficiency. The system serves malls, transit hubs, campuses, parks, and public buildings. It is vital for smart cities. It replaces manual counting with intelligent management for better safety, responsiveness, and adaptability.

EdgeLink-X is an AI-driven heterogeneous edge-network platform built to provide resilient, low-latency connectivity for intelligent transportation and railway environments. The system forms a multi-layer architecture that unifies field communications, sensing, video capture, and edge analytics into a reliable and adaptive communication framework. At the field level, IP110H and IP503H Lite IP radios deliver instant voice communication and group coordination for frontline personnel. Sensors and cameras are connected through the AG260 AIoT Gateway, while the AS710 Wi-Fi 7 indoor access point provides high-quality Wi-Fi coverage in stations, platforms, and passenger areas to enhance traveler connectivity. Long-range, time-synchronized backhaul is supported by the SP250 Series, ensuring stable, high-throughput wireless links across trackside and outdoor environments. At the core, the zMEC edge-computing platform performs real-time AI video analytics, abnormal-event detection, and rapid data distribution to minimize latency and support mission-critical responses. By integrating Wi-Fi, LTE, 5G, PTP wireless backhaul, and AIoT devices into a single cohesive system, EdgeLink-X enables applications such as slope monitoring, intersection intrusion detection, pantograph spark/wear monitoring, and onboard operational visibility—forming a robust foundation for next-generation safe and intelligent mobility.

-)Data Collections -)Real-time Monitoring -)Decision Analysis -)Data Visualization Increase Capacity, Raise Efficiency, Cost Down

An acceleration platform that provides AI partners with comprehensive upgrades in technology, products, and markets. Since 2021, Taiwan AI Cloud has launched the “AIHPC Accelerator” to foster a collaborative AI ecosystem. The AIHPC Accelerator program is designed to support AI startups in matching with smart application scenarios and commercializing their products. By complementing the roles of third-party accelerators, incubators, and startup support centers, Taiwan AI Cloud provides a comprehensive business development platform for Taiwan’s AI startups. Within just one year, the program achieved outstanding results, signing partnerships with more than 60 startups.

Agriculture is the main industry in Yunlin County. Nearly 1/3 of the population are workers in the primary industry. In addition, more than 60% of the population in the related industry chain is engaged in agriculture-related businesses. However, due to the outflow of young people from rural areas, an aging society, and global climate anomalies have made it difficult for agriculture to maintain stable yield and quality, and the international community has responded to the issue of carbon reduction. How to balance food security and environmental sustainability has become a major issue in the current agricultural transformation. Therefore, the Yunlin County Government promotes the agricultural creation service guidance team, discovers local DNA, combines traditional agriculture to carry out digital transformation of farms, effectively improves agricultural productivity, bridges the gap between labor shortage and unstable production, assists the agricultural industry in line with international carbon reduction trends and create low-carbon sustainable urban and rural happiness.The project won the 2023 Smart City Innovation Application Awards.

Smart parking EV charger combines smart parking and charge service to provide total solution for roadside and off street parking. Integrates with license plate recognition system, it not only issue parking ticket, but also reduce occupation of fossil fuel vehicle and prolong parking with parking space barrier or other solutions. With smart card, the drivers do not require membership for charge and parking service.

C.ai: Conversational service platform is recommended as the best autonomous solution for enterprises to implement LLM intelligent assistants and related applications. It features easy editing with No-Code/Low-Code, easy integration with internal and external systems, and a complete service interface. With LLM application compliance and governance, enterprises can choose to integrate various suitable language models to enhance AI implementation capabilities. It supports various communication software and browsers, completing design and launch in one stop.

Wave guide photovoltaic energy harvest system provides 75% more power than traditional solar panel. Highly decreasing cost of maintenance and set up. Waveguide owns unique talents of easy shapeable, colorful, and scattering light collection, which can help PVs to be lightly integrated into devices and create an energy-smart sustainable future.

The Taichung Local Tax Bureau has launched the "Local Tax AI Anywhere Door," a 24/7 intelligent service platform powered by AI and Natural Language Processing (NLP). By integrating local, national, and cross-agency data, the system utilizes Deep Learning (BERT) and a specialized tax knowledge base to provide precise, multi-turn conversational consultations. The platform also features online applications, tax simulations, e-payments, and live text/video support, drastically reducing processing time and costs for citizens. To date, it has served over 440,000 cases with 99% accuracy and over 90% satisfaction, effectively lowering transportation-related carbon emissions and demonstrating the power of human-centric digital governance.

In order to save the use of natural resources, implement resource recycling and reuse, reduce processing costs and reduce environmental load. We use the recycling processing technology to transfer the remaining cutting materials of the ALC body, as well as industrial by-products and domestic waste resources (waste glass) back to the ALC raw material for use. Actual testing of the product shows that the reuse technology is feasible, the quality is stable, and the efficiency of waste reduction and carbon reduction is high. Now It has obtained the environmental protection label from the Ministry of Environment and the green building materials label from the Ministry of Interior.

LIGHTSPEED is specialized in communication for 31 years up to 2025. All engineers has more than 20 years' experience in Modem, Router, 5G gateway, & LoRaWAN ChirpStack Gateway design. Product lines cover 5G,4G, 3G, WiFi 6,WiFi 7 router, Serial/IP gatway,, 4G/3G IP CAM, modem, 4G miniPCIe card, 802.11ah HaLow 4G gateway, LoRaWAN ChirpStack Gateway, WIFI 802.11n/g/b/ac/ax/be miniPCIe with USB interface, outdoor 5G +wifi router, tracker, 4G security guard/police video surveillance recorder and server, as well as cloud service. We also provide ODM/OEM service for special requirements, such as multi-SIM card failover system, multiple channel aggregation, cell tower tester..etc

Prof. Ming-Chung Chou’s Team – Intelligent X-ray Imaging System Traditional X-ray imaging depends on experienced radiographers to balance image quality and radiation dose. Automatic exposure control may misjudge patients with poor positioning or metallic implants, increasing radiation by about 20%. This study develops an AI-based X-ray imaging system with non-contact body thickness measurement. By integrating patient height and weight, the system automatically determines optimal exposure parameters, ensuring stable image quality while reducing unnecessary radiation and cancer risk.