AI Smart Office AI Model Training Assistant: Use the most advanced AI model training technology to establish an automated AI model training processing system. The no code interface allows the AI ​​multi-modal model training assistant to provide education and training for the company's AI technology developers. As well as the simulated environment and output-related AI models.

Traffic approach warning system is the combination of smart detectors and LED warning signs. The intersection is divided into detection lanes and warning lanes. Smart detectors are installed on the detection lanes. When a vehicle enters the detection area, the signal is transmitted to activate the LED signs on the warning lane to warn drivers to slow down in advance.

According to the design in a 20-foot container, the noimal output power can be selected by 100/150/200 or 250 kW (optional), and the total capacity of Lithium-ion battery is 272 ~ 408 kWh (optional). The whole system, including battery, PCS and other auxiliary system. This solution can be integrated with Grid, solar PV system, Diesel genset to form a regional power system (microgrid).

The imbalance of agricultural production, sales and labor shortage have always been a huge challenge for farmers. The independent 5G private network with O-RAN effectively introduces affordable smart agricultural system through a leasing model, combining AI, unmanned vehicles, image recognition and other field information to upgrade smart farm production management system and increase the revenue.

In view of the fact that generative AI will play a key role in the future smart medical care and bring many benefits and impacts, Huijia Health combines solutions from MediaTek and Microsoft Taiwan, to create the first dynamic health LLM "Generative AI Smart Care Assistance System". Huijia Health combines the Huijia nFOPT® 24-hour automatic room patrol system’s health databank with the "MediaTek DaVinci" generative AI service platform, and Microsoft Azure's high security, high privacy, and high compliance Cloud services, are planned to provide "Telemedicine", "Smart Consultation", "Smart Handover" and more "Generative AI Smart Care Assistance Systems" that will change the future.

Feature •Automatic Gain Control (AGC). •Backlight Compensation. •Automatic White Balance. •Wide Dynamic Range (WDR) function with 120dB at 30 FPS. •Night noise suppression function. •Nighttime shooting with automatic aperture adjustment. •Stable image quality during low-light shooting at night under stable external light conditions, ensuring no flicker or color rolling, and clear nighttime images. Specifications •Uses a CMOS 1/3” Image Sensor. •MAX Resolutions：2MP (1920×1080 pixels)，D1 (640x480 pixels) •Maximum Frame Rate：30 FPS @1920×1080，30 FPS @640x480 •Focal Length：2MP lens ： 2.8-12mm±5%，D1 lens ： Fixed •Minimum Illumination：Color： Below 0.06 Lux，Black：Below 0.02 Lux.

Advanced machine learning algorithms process massive amounts of data collected from a building's HVAC system in real time. This technology enables a comprehensive analysis of various factors, including energy usage patterns, occupancy rates, outdoor climate conditions, and more, resulting in highly accurate HVAC system operational optimization. Our technology offers greater energy savings than traditional BMS solutions and is able to save energy while maintaining indoor comfort, allowing for quick and seamless integration into existing HVAC systems without the need for costly and time-consuming hardware upgrades.

The Ministry of Economic Affairs, Department of Industrial Technology has commissioned the Industrial Technology Research Institute's Center for Smart Sensing and System Technology to develop a "Composite Long-Term Air Quality Sensor." This sensor is capable of simultaneously measuring particulate matter (PM2.5), ozone (O3), carbon monoxide (CO), volatile organic compounds (VOC), and other air quality monitoring parameters. The sensor utilizes optical detection methods to detect concentrations of suspended particulate matter (PM2.5) and ozone (O3) in the air. Innovative key technologies, including dual-channel micro-particle sieving, micro-particle signal feature recognition, LED dynamic light source stability, and multi-environmental factor compensation, are employed to enhance the sensor's lifespan and accuracy. Furthermore, semiconductor and micro-electromechanical (MEMS) technologies are utilized to create a micro-heating chip. This chip, combined with gas nano-sensing materials and a single-chip sensing control circuit, converts the detected gas sensing resistance changes into carbon monoxide concentration values for the detection of carbon monoxide (CO), total volatile organic compounds (TVOC), and other harmful and odorous gas concentrations.

The diagnosis of ADHD is based on the core symptoms appearing in DSM-IV or V criteria. In addition to the criteria, some physicians use checklists to assist the diagnosis of ADHD. However, either symptoms or checklists are subjective, which leads to diagnostic problem. In this product, data from the gyroscope and accelerometer in a smart watch were used to analyze the movements of children with ADHD. The children with ADHD and controls wore the watches on their hands simultaneously in class and compared the data from recorders for analysis. This method can help us to establish a objective tool for diagnosis and evaluation of ADHD.

Billion Electric Group , in collaboration with Taiwanese partners, has successfully deployed 495 kWp of solar PV and 1,997 kWh of battery energy storage systems (BESS) in Palau, Tuvalu, and the Marshall Islands. These modular microgrids reduce reliance on imported fossil fuels, ensuring stable green energy supply for agriculture, aquaculture, and local communities. The project is expected to cut carbon emissions by 800 metric tons annually, with over 50% renewable energy self-sufficiency at aquaculture centers and demonstration farms. Meanwhile, livestock farms, offices, and dormitories now operate on 100% green energy, significantly lowering both energy costs and environmental impact. Billion Electric Group provides end-to-end energy solutions, from R&D and manufacturing to system integration and deployment. The project features MIT ( Made In Taiwan) renewable energy technologies, including Billion’s Fusio series BESS, Giga series PV inverters, and an AI-driven EMS (Energy Management System). The system enables real-time power optimization, bidirectional energy transmission, and cloud-based monitoring platform, significantly enhancing grid stability and energy efficiency.

P-Waver Inc. is the global leader of AI on-site earthquake early warning system and structural safety monitoring system, providing earthquake early warning before earthquake, intelligent disaster mitigation measures, and structural safety monitoring after earthquake.

DA-TUN CABLE TV leverages its advantages in fiber optic infrastructure to assist the digital transformation of Wu Fong Golf Course into Taiwan's first 5G smart golf course. This project integrates several innovative technology applications, including drone inspection services, MR batting assistance, environmental maintenance with unmanned lawn mowers, and health and safety monitoring with wearable devices. By utilizing the enhanced mobile broadband, ultra-reliable and low latency communications, and massive machine type communications features of the 5G private network, an outdoor 5G private network verification field is established. It also serves as the critical transmission foundation for the real-time work order management system, addressing labor shortages and management issues commonly faced by traditional golf courses, while enhancing operational efficiency, safety, and user experience at the golf course.