1. Integrating data of water quality and water consumption, the online system will automatically conduct continuous data monitoring, and can be applied for both clean water and sewage water measurement. 2. Real-time monitoring: Seize real-time water information to maintain the stability of water quality and instantly react when abnormal condition is detected, dramatically increasing management efficiency. 3. Smart Dosing Scenario: Integrating automatic dosing equipments with upper and lower alarm settings to ensure dynamic stability of water quality and decrease labor cost. 4. Data Analysis: Apply schedule planning to build up the trend of historical changes and to develop the situation management model. 5. Compliance with the regulations: Complete the full-time management mode, in compliance with the regulations of the competent authority and environmental protection standards. 6. The water quality sensor (specific model) is automatically cleaned without additional consumables and can be cleaned frequently.

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.

Taiwan SECOM “Smart City Safety Solution” including: 5G high-speed network transmission, road safety monitoring, real-time analysis of traffic flow and vehicle types, parking violation analysis, license plate recognition, traffic flow analysis, smart parking, air quality detection, personnel positioning and push Notification, e-paper information board and IoT integrated system platform. The platform's principal IOC monitoring and management, Open API interface, and know-how for dispatching services are integrated with multiple subsystems through the back-end management platform. When the system is abnormal, it can be quickly reflected and subsequent disposal. Significantly reduce personnel monitoring and management costs. It will also actively monitor the normal status of the equipment at usual time, when abnormal maintenance, always keep the system equipment running normally, improve the system equipment rate. Meanwhile the new way of operation of the smart city is establishing.

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.

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

Under the theme “Economy Next,” the Ministry of Economic Affairs presents dual pavilions on AI and net zero, illustrating Taiwan’s vision for dual transformation. The Net Zero Pavilion showcases resilient green energy systems and low-carbon supply chains, while the Industries AI Pavilion highlights advanced technologies and smart applications that delivers concrete solutions across industries in hope of fostering collaboration opportunities with global partners.

3. High-end line: full system is 307 or 316 stainless steel chassis. Model No.: AH6676D (316) - Successful Case: Installed at the perimeter of Taipower Plant, an offshore area. - Sony Starvis™ sensor with 2MP, 5MP resolution. - Different angle lens are available. IR LED range is up to 40 meter.

"EUP Fleet Management System" can easily manage the core needs of vehicle dynamics, task progress, emergency response, and utilize AI to analyze driving behavior, fuel consumption, and effectively control costs. In addition, EUP provides comprehensive safety driving checks, tracks driver driving habits and physiological monitoring, significantly improving driving safety, and assisting companies in building a safe, efficient, and low-carbon transportation fleet.

MSA redefines the standards for firefighting, rescue, and industrial safety through the Internet of Things (IoT). The Smart Firefighting system integrates MSA M1/G1 SCBA with advanced telemetry technology to provide real-time monitoring of critical data, including cylinder pressure, remaining service time, and personnel movement. By leveraging the FireGrid cloud platform, all data is seamlessly transmitted to the command center, transforming traditional incident scene management into real-time digital decision-making. This solution significantly enhances operational efficiency and maximizes the safety of first responders in hazardous environments.

BarkingDog Technology Inc. is dedicated to the development of AI+XR technologies, offering cross-platform AI agent solutions under its flagship product, AI AMAZE. This service empowers businesses to rapidly and seamlessly establish accurate, controllable generative AI applications featuring realistic virtual agents. By delivering innovative, knowledge-driven digital experiences (Bridge to Services), BarkingDog Technology enhances operational efficiency and reduces costs for businesses internally, while externally revolutionizing customer engagement. Its services span various industries and scenarios, including tourism and guided tours, food and retail, smart factories, and intelligent healthcare. - AI AMAZE Service - AI AMAZE Mentor - AI AMAZE Retail - AI AMAZE TeleAgent - AI AMAZE SecureMeet

Jobdone's "Construction & Manufacturing" module is specifically designed for contractors specializing in system furniture, precast engineering, steel structures, and fencing. Addressing the characteristics of **"in-factory processing and on-site assembly"**, it provides a powerful digital dispatch center to coordinate personnel, equipment, materials, and vehicle dispatch. Through digital work order management, businesses can precisely control every step from shipment to each stage of construction, significantly improving delivery efficiency. Regarding net-zero solutions, this module reduces carbon emissions from redundant vehicle dispatches through precise resource scheduling and replaces paper processing and acceptance forms with digital forms. Combined with phased completion inspections, it effectively reduces material waste caused by construction errors, assisting subcontractors in practicing a circular economy from processing to assembly, and achieving the carbon reduction transformation goals in smart city construction.

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.