Over the past decade since its launch, the JW Eco-Technology brand system has executed over 1,000 projects worldwide, earning unanimous global acclaim. It delivers tailored solutions for unique environmental challenges, including pollution, urban ailments, flooding, water scarcity, water contamination, air pollution, urban heat islands, and sustainability issues—all core domains of JW Eco-Technology. From 2015 to 2025 (COP21-COP30), it was invited annually to UN Climate Conferences for 10 consecutive years, recognized as "key technology for improving global warming." Notably, in 2022, the UNFCCC Global Stocktake uniquely announced on its website: "JW Eco-Technology as a holistic solution for climate adaptation and mitigation." In 2023, it clinched the UN LivCom Awards for SDGs—the first and sole global winner. Proven by over 1,000 global cases, interdisciplinary research, and awards in hydrology, civil engineering, green energy, climate, environment, atmosphere, biology, microbiology, physics, chemistry, etc., JW Eco-Technology's "JW Eco-Smart Sponge City" stands as humanity's optimal solution to climate change.

Energy accounts for large portion of business cost, well 40~50% of it are rises from air conditioning. e-Formula offers an ideal solution for energy management through advance technology from Taiwan. We provide e-Form with big data 、AI and cloud technology, it's an energy dashboard for the client demonstrating current status of equipment and service, and a global energy consumption, improving power management equipment longevity and risk management for the managers. It safes energy from both directions by decreasing consumption and increasing efficiency.

This project integrates cable TV systems, Civil IoT, and AI video recognition technology to build smart disaster prevention and site safety services. Centered on set-top boxes (STB) and intelligent sensing, the solution focuses on bridging the gap in real-time information and safety protection for elderly and rural populations. Through its wired network infrastructure, the system developed under this project is capable of delivering real-time disaster prevention information, including earthquakes, typhoons, and heavy rainfall alerts. In addition, AI-based recognition capabilities have been integrated into the system. Currently, the system has completed event recognition functions such as parcel placement and retrieval detection. It also performs analysis of human movement trajectories and abnormal group behavior detection. In the future, the system will be further expanded to identify dangerous situations such as violent behavior. Through this project, Taiwan Optical Platform (TOP) demonstrates the potential of integrating cable television networks with AI and IoT technologies to develop a platform for smart disaster prevention and public safety applications.

Multi-payment bus validator takes smart card, mobile payment for bus fare. The transaction data transfer through designated channel to the backend system, smart card issuers, mobile payment operators to perform clearance process. All the validators comply with operation standards and receive certification from smart card issuers, mobile payment operators and TTIA.

The system developed by this project provides a smart solution for station including digital fence system, platform pedestrian flow analysis, animal tracking expelled system, track water situation analysis system and platform digital information signage. The platform comprehensively analyses the image of around the station, train coordinates, passenger entry and exit, and water depth etc. Which can be used for follow up review and improvement of abnormal events such as track intrusion, crowd congestion and road flooding to achieve optimal train operation configuration and class spacing control. And provide abnormal event warning and troubleshooting and passenger intelligence information services. After the integration of multiple subsystem through the IOC platform, the system will automatically alert an alarm to the traffic control center and announce the train near the area to remind the driver to pay attention to the situation and enhance the safety of the train and the people or cars in the area when the detection system alarms.

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.

SOYAL Smart Parking Lighting System integrates RFID and infrared sensing to automatically pre‑light target spaces upon vehicle entry, while dynamic “lights follow the car, off when it passes” guidance ensures safety, efficiency, and energy savings for low‑carbon smart parking. The WEB PLC Air‑Conditioning Control System uses DI sensors to detect occupancy and temperature differences, adjusting indoor climate on demand to optimize building energy performance and support carbon‑reduction goals. The WEB PLC Office Lighting Control System combines card recognition with infrared sensing to maintain uninterrupted lighting when staff are present, then provides a five‑minute buffer before shutdown after work hours, with secondary detection to confirm departure. This precise energy management maximizes the value of every kilowatt. Together, these three systems highlight the advantages of smart building automation—delivering comfort, safety, and sustainability.

AI Biodiversity Platform using CHTCityOS as essential architecture enables rapid implementation, scalable performance, and seamless cloud integration.By consolidating technologies and services into a single solution, Chunghwa Telecom helps customers simplify management, improve efficiency, and accelerate digital and sustainable initiatives. Chunghwa Telecom as a leading ICT solution provider, offers a fully integrated, one-stop service covering system design, platform deployment, and ongoing operations.

Eup has developed a comprehensive video integration platform tailored for fire and emergency rescue operations. By connecting vehicle GPS, 360-degree cameras, body-worn cameras, and drone footage, command centers gain real-time, multi-angle situational awareness. This significantly enhances decision-making accuracy and frontline personnel safety—using technology to protect those at the very front line of emergency response. Unified Information Platform: Integrates ground-level and aerial perspectives to deliver complete emergency intelligence. Real-Time Command & Dispatch: Live video streaming ensures commanders stay fully informed of frontline conditions. Enhanced Responder Safety: Real-time monitoring of firefighter environments to predict risks and provide timely support. Cloud Video Backup: Secure cloud storage for rescue footage and operational records.

ITTS Smart Logistics Solution-AI Video Control Center, from the perspective of practitioners, uses a smart management system to help the logistics company master the three major information of people, vehicles and parcel. The main features are: APP-based mobile control, Smart phones can provide anytime & anywhere control capability  Dynamics Video + image real-time monitoring, real-time conditions of vehicles moving and stopping are clearly visible  Visualization of data reports, clear operational information such as fuel consumption rate and delivery rate at a glance  AI intelligent interpretation, real-time reminder for driving violation judgment, reduce the violation rate, and provide a safe driving environment The accumulation of AI machine learning can be extended to several aspects in the future:  For drivers-through driving behavior interpretation, the driver's condition can be found immediately to prevent dangerous driving; automatic routing suggestions to help novice drivers quickly get started and reach the level of mature delivery  The city management can share real-time road conditions images or video, reflect road level and post-disaster road conditions, and street management capabilities  Provide scientific and technological law enforcement capabilities to localities-image recording of license plate recognition can assist police units in investigating cases

Integrating RPA, Generative AI, Machine Learning, and Process Management technologies, we provide manufacturing solutions to address supply chain communication, timely business delivery responses, on-site scheduling optimization, order insertion issues, new employee training, and corporate administrative problem-solving.

-)Data Collections -)Real-time Monitoring -)Decision Analysis -)Data Visualization Increase Capacity, Raise Efficiency, Cost Down