ADAS Buddy is a new intelligent driving assistant system designed to enhance driving safety and reduce the occurrence of traffic accidents. eNeural team leverages sensor information and combines their own innovative technology to provide real-time detection and warnings of potential hazards, such as when the driver exhibits signs of fatigue, the system can use sound to alert the driver to take a break before continuing to drive. In addition, ADAS Buddy also comes with voice interaction mode, allowing drivers to focus on the driving situation, reducing the risk of accidents caused by distraction. These intelligent technologies' integration will provide drivers with a safer and more comfortable driving experience.

By applying environmental sensing IoT technology and mobile sensors, the coverage of sensing can be significantly enhanced. With the analysis through AI algorithms, it assists governments in identifying potential sources of pollution for regulatory actions and pollution reduction measures. Meanwhile, supplemented by generative AI innovation technology, it achieves smart environmental governance.

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The Civil IoT data service platform collected and stored environmental sensor data in four key areas: earthquake, water resources, air quality, and disaster prevention, and provides real-time data service using the OGC SensorThings API that conforms to the international data modeling standards for value-added services through a unified data modeling framework. In order to solve the problem of insufficient communication in remote areas, Band20 frequency band is utilized to build a backbone network core service for IoT application, which provides remote areas with the use of Band20 frequency band as a network communication method for IoT data transmission, and expands the scope of IoT deployment in remote areas.

EHS assists companies in creating a healthy workplace, including: A) Basic Plan includes the management of health check reports, the four major risk prevention plans of emerging occupational diseases, health risk assessment and classification, care plans by healthcare managers, and the integration of medical consultation records, questionnaires, etc.. B) EHS provides employees with long-term health monitoring by measuring physiological information and integrating it into EHS. The options also include a sphygmomanometer (tunnel type and armband type), an ear thermometer, a BMI meter, and identity certification (employee identification badge, health insurance card, and face recognition). C) It also provides employees with personalized and consolidated health information (physical reports and physiological measurements) and the access to share information with relatives, friends, hospitals, and clinics, thereby allowing the participation of every person in health management.

In Taiwan, religious activities create tens of billions of business opportunities every year, and up to 200,000 metric tons of joss paper are burned every year, generating 300,000 metric tons of carbon emissions, leaving a large amount of joss paper ashes. In the past, they were randomly discarded, causing environmental pollution. Now Jinjing solves the joss paper ashes problem, gives the ashes innovative value, and achieves a circular economy. This project takes “LIUQIU”, which has the highest density of temples in Taiwan, as the starting point. we work hand in hand with local temples to promote environmental protection and cultural inheritance. We aim to become promoters of religion, environmental protection, and local culture, and create cultural and creative products that integrate religion, beauty, and practicality.

The Track Safety Management System is primarily aimed at addressing safety concerns along the track. It provides real-time monitoring, statistics, and detection-triggered alerts for trackside environments including stations, level crossings, along the track, and slope areas. The goal of this management system is to establish early warning alerts and prevent accidents from causing damage. Through the intelligent AIOT recognition monitoring system, it detects and analyzes station pedestrian traffic, tracks pedestrians at level crossings, identifies passing vehicles and traffic flow, detects foreign objects at level crossings and activates alarms, monitors personnel lingering and debris along the track, conducts rockfall monitoring on slopes with a rain gauge, monitors the environmental conditions in equipment boxes, and oversees the operation status of level crossing equipment. The monitoring data and image information are transmitted to the management system platform for integrated management via fiber-optic networks, NBIOT, or mobile communication. Additionally, it provides central management personnel with real-time interpretation and remote control in case of anomalies.

The Irrigation Agency has designated the Zhudong Irrigation Area in Hsinchu as a demonstration site for the construction of a smart irrigation system. This system integrates hydrological sensing components, IoT transmission, and remote gate control technology. Key control points along the irrigation channels have been equipped with water level sensors, remote gate control systems, and surveillance cameras, incorporating cost-effective, low-power, and highly weather-resistant sensing technologies. Irrigation managers can utilize water level sensors to accurately monitor changes in water levels along the irrigation channels. Coupled with real-time imaging, they can remotely control the opening and closing of water gates, optimizing water distribution management and reducing water loss during transportation. This approach not only enhances irrigation efficiency but also minimizes the time and labor costs associated with on-site operations, increasing flexibility in personnel allocation. In response to the growing frequency of extreme weather events due to climate change, the Irrigation Agency is employing smart irrigation systems to enhance the overall allocation of agricultural water resources, strengthen disaster response capabilities, and provide critical data for informed decision-making.

Powered by AI, this platform provides businesses with compliance management, risk intelligence analysis, and data-driven sustainable supply chain resilience, enabling them to effectively manage their supply chains.

The BSMX series of early warning modules for lithium battery thermal runaway, developed by Taiwan Intelligent Pollutant Sensing Co., Ltd., is a next-generation BMS upgrade solution that requires only simple installation to integrate with existing systems. The module is equipped with high-sensitivity sensors developed specifically for energy storage safety applications, with a rapid response time of as fast as three seconds. The module offers multiple signal output interfaces to choose from and features a proprietary smart algorithm that eliminates the need for calibration after installation. It is particularly suitable for energy storage systems that operate continuously for long periods and are difficult to maintain. E-bike version has a significant improvement in power consumption.

The Automatic Sorting Machine uses AI-driven innovative technology to usher in new possibilities for future automation. Through precise sorting of waste, it enhances recycling efficiency and collects more valuable materials. Furthermore, this product can be customized according to the needs and characteristics of different factories. It helps customers increase processing volume and purity, reduce labor burden, and lower operational costs.

The Highway Traffic Management and Control System of FETC International is a centralized management system that is designed for highway road management operator to ensure the safety of road users and maintain the smooth traffic flow. Combined the top-notched technology innovations and over 20 years transportation integration experiences, FETC International provides a total solution and cross-platform integration to fulfill the exclusive demands of our customers in different countries.