ITS traffic data collection has solved the laborious and time-consuming task of manually calculating traffic flow in the past. It aims to achieve the goals of smoother road conditions and reduced accidents through intelligent traffic diagnosis. By utilizing intelligent transportation systems, the system automatically tracks vehicles, identifies vehicle types, predicts trajectories, and transforms the data into useful information. This assists in real-time interpretation and improvement of traffic engineering. This system is particularly crucial in Taiwan, where over 60% of traffic accidents occur at intersections. Through big data analysis, identifying issues and formulating solutions is possible, thereby lowering accident risks. This approach proves more effective than simple advocacy and alerts.

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.

In order to enhance the efficiency of irrigation water management in Hsinchu, the Irrigation Agency (IA) applies low-power sensors, remote control systems of water gates, and gate inspection systems to the irrigation management of the Zhudong Canal. The IA combines water gauges with the low-power NB IoT transmission module to monitor the real-time water level. Meanwhile, with the remote control systems of water gates, the real-time opening and closing of water gates can be operated through the "Platform of IA for Remote Monitoring and Management of Water Gates", making the operation of irrigation management more labor-saving and convenient. In addition, installing NFC tag cards allows to fill out the information and transmit the inspection results of water gates through an inspection APP, enhancing the efficiency of gate management.

Develop by specific specifications of power companies

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.

Openfind Ciao is an AI answer engine, designed with the principles of "simple, cost-effective, and controllable". It helps businesses and organizations easily implement generative AI that all employees can use with minimal effort, even within limited budgets and resources. Ciao leverage multiple AI models, including OpenAI and Gemini, so businesses don't need to purchase separate accounts. By implementing Openfind Ciao, businesses can enable employees to access the knowledge and information they need, saving valuable time, transforming workflows, and boosting productivity.

In 2020, commercial 5G network has come into our lives. Taiwan’s fixed network, Taiwan Mobile Co., Ltd and Taiwan Win TV Media CO., Ltd. launched a 5G smart sports application at the Xinzhuang Baseball Stadium. We use the 5G network to provide the characteristics of Enhanced Mobile Broadband, Massive Machine Type Communications, and Ultra-reliable and Low Latency Communications, and together with local partners in Taiwan to generate a 5G smart application solution ecosystem. This project focuses on the interactive management of fans, and uses many innovative technologies for demonstration, including the key video uses MEC and 5G, integrates 3D modeling animation and collects live light and shadow, provides dynamic and static image playback, high-quality real-time 4K panoramic photography, providing live stream of sports events, AR virtual opening display, giving fans a different visual experience, highly immersive virtual baseball games bring real-life experience, 3D Holographic projection technology is used to interact with virtual player images for pitching and playing games. Finally, it is also matched with the stadium's 3D depth technology and dynamic people counting analytics technology to provide security control requirements for the stadium. The player’s training platform uses sports technology to detect player swing speed, elevation angle, or distance is provided to the coach for immediate adjustment and improvement.

Our team has built predictive models based on whole transcriptome data from patients with advanced metastatic prostate cancer, focusing on two different mechanisms of action: androgen receptor antagonists and androgen synthesis inhibitors. These two types of drugs essentially offer only one chance of selection, as resistance to one renders the other ineffective. Using weighted gene correlation network analysis, we identified several gene modules correlated to specific drug responses. Then, we combined several machine-learning algorithms and constructed classification models for different drug mechanisms. Our goal is to use detection services to determine the most effective drug for patients before administration.

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.

Using world-class 5G and new technologies, FET builds a "5G telemedicine platform" to provide mobile, zero-day telemedicine services.In this year, 5G telemedicine services spread across 12 counties and 33 districts. During the Covid-19 period, we have also assisted many hospitals to remote clinical services and smoothly carry out routine medical treatment. Features * Real-time Telemedicine service to empower remote area medical resource * Support medical IoT devices * Highly system integration characteristic to hospitals * Newly introduced patient function to meet the demand during the epidemic * AI intelligent analysis to assist physicians in diagnosis * Full-time video recording to ensure doctor-patient relationship and information security * Support virtual NHI card

NCREE has developed a Hybrid earthquake early warning system (EEWS) by integrating on-site EEWS from NCREE and regional EEWS from Central Weather Administration (CWA). Within a 10 to 100-kilometer radius from the earthquake epicenter in the local region, this system can provide 3 to 15 seconds of warning time. To achieve effective alerts with the available warning time, the utilization of a Hybrid EEWS cloud platform is crucial. This platform facilitates the transmission of alerts and the affected administrative regions to various industries. Industries, in turn, leverage these alerts to develop warning systems and automated control devices tailored to meet the specific requirements of different environments. This approach aims to minimize secondary damages resulting from earthquakes, transforming EEWS beyond being notifications received Presidential Alert on mobile phones. Instead, it offers a multi-faceted alerting and disaster reduction application system tailored to different environmental settings.

Jia Keng Technology has developed a unique intelligent active compensation energy storage system aimed at behind-the-meter storage solutions. Through an energy management system, it performs real-time analysis of power supplied by Taiwan Power Company and the power load of the site. The system proactively compensates for voltage and frequency, enhancing power stability and safety while preventing the impact of voltage sags or frequency instability on production and equipment. Regarding asset management functions for the energy storage system, Jia Keng uses AI algorithms to optimize battery charge and discharge management. During time-of-use pricing transitions, the system not only effectively stores off-peak low-cost electricity for use during peak times to reduce power costs, but also effectively extends battery life by 35% and improves efficiency by 15%. The key feature of this service is the "integration of power and energy storage systems." In addition to choosing traditional "purchase" or "leasing" options, customers can also opt for Jia Keng's flexible business model, "pay as you use," which reduces decision-making risks for customers and aligns with the spirit of the ESCO service model.