Prof. Chia-Hsin Chen’s Team – An Innovative AI-Powered Tongue Vibration Training System This project develops an AI-driven tongue vibration training system for dysphagia and obstructive sleep apnea. It combines a safe, adjustable tongue device, AI motion tracking with real-time biofeedback, EEG-based cognitive monitoring, and AR-based gamified training to deliver personalized, engaging, and data-driven rehabilitation.

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.

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.

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.

FET has long been investing in IoT application development and assisting Taoyuan City in becoming the first city in Taiwan to adopt a large-scale intelligent lighting system and LED street lamps. FET has also integrated 5G and AI technologies to launch the “5G Smart Pole” solution, offering a variety of smart application services and accelerating Smart City transformation. Features •Smart poles integrate digital signage, IP cameras, high-efficiency street lamps, roadside units, 5G small cells, and EV chargers. •Based on 5G Smart Pole Alliance standards.

We offer comprehensive surveillance system integration services to meet the needs of public domains and urban governance. This includes professional monitor installation, high-capacity video storage planning, and VPN circuit transmission services to ensure secure data transfer, establishing a reliable digital foundation for urban security.

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.

Hybrid work and temporary employment often lead to chaotic and decentralized attendance management. AIRA's Facial Recognition Solution simplifies personnel management. Without external hosting equipment, the airaTablet Plus integrates access control, attendance reports, and video streaming into a single device. It features the facial recognition system, airaFace, ensuring precise identification of faces within 1 second. Users can customize clock-in periods and export automatic attendance reports. The built-in multi-mode dashboard caters to various scenarios, such as attendance, occupancy and welcom dashboard. Moreover, the system seamlessly integrates with the central management system, airaManager, which can cnetralize attendance data from each office. The encrypted transmission enhances security, ensuring a comprehensive and secure solution for pesonnel management

Empower your business across critical domains—operations, HR, legal, finance, customer service, recommendations, health education, and equipment management. By integrating Generative AI with advanced knowledge management, we transform how enterprises manage real-time monitoring, dynamic insights, intelligent Q&A, data visualization, text recognition, and content creation. Our solution reduces human error, eliminates redundant tasks, and streamlines complex processes—paving the way for true business process reengineering. Experience faster decisions, smarter workflows, and a future-ready enterprise.

A-MTK Expands Presence in TRA Stations 2025 Project Installation Scope: Zuoying, Neiwei, Museum of Fine Arts, Gushan, Sankuaicuo, Kaohsiung, Minzu, Science and Technology Museum, Zhengyi, and Fengshan Stations To enhance station security and management efficiency, ten TRA stations in Kaohsiung will be newly equipped with A-MTK IP cameras, expanding surveillance coverage and integrating with the access control system. The project achieves the following outcomes: Video Surveillance Deployment: Multi-point installation of A-MTK IP cameras inside and outside stations, providing real-time monitoring, event recording, and playback. Access Control + Video Integration: When an abnormal access event occurs (such as unauthorized card use or forced door opening), the system automatically pops up the corresponding camera feed and simultaneously sends an alarm notification to the management center. Centralized Monitoring Platform: The Kaohsiung control center can instantly oversee access control status and video feeds, achieving cross-station integrated management. Cybersecurity and Reliability: A-MTK is ISO 27001 certified; IP cameras are CE/FCC/BSMI certified. With system disconnection recovery, continuous operation is ensured without interruption.

Across urban and industrial environments, public facilities, critical assets, and infrastructure systems are often highly complex and geographically dispersed. Even minor abnormalities, if not identified and addressed in time, can lead to safety risks and operational disruptions. The Smart Mobile Inspection System is designed to address these challenges, enabling governments and enterprises to establish forward-looking digital inspection and maintenance management capabilities. The system integrates mobile devices, sensor data, and visual information, leveraging real-time AI analysis and anomaly detection to transform potential risks into predictable, traceable, and actionable management tasks. From anomaly alerts and intelligent task assignment to on-site reporting and final verification, the platform seamlessly connects every stage of the inspection workflow, delivering a fully digital, end-to-end inspection and maintenance management solution.

The Intelligent Building Management System (iBMS) is a large-scale and flexible industrial control platform. By integrating Internet of Things (IoT), Artificial Intelligence (AI), Building Information Modeling (BIM), Intelligent Video Surveillance (IVS), and Building Automation (BA) systems, iBMS enables Digital Twin technology to manage and operate building mechanical and electrical systems in a visualized manner. The five major systems it oversees include electrical systems, HVAC, fire protection, plumbing, and low-voltage systems. This system meets the goals of ensuring health, comfort, and safety, while also achieving energy savings and intelligent automation. Additionally, iBMS also can integrate with other control systems to manage relevant operations in different application domains, such as: iDCIM systems for data centers, Operations management systems for smart factories iBMS is widely applied in: Smart building, Data Centers, Hospitals, Commercial buildings, High-tech manufacturing plants, Smart campuses/parks