Remote expert video collaboration solution uses AR smart glasses to transmit onsite situation to the remote technical experts with high-definition real-time video, and guide the on-site engineer to troubleshoot and repair the fault from the first-person view perspective and free their hands. This is not only improves maintenance efficiency, but also ensures safety. It also achieve the sharing and inheritance of expert resources and high cost of traveling on site. When encountering difficult situations, multiple technical experts can also be invited for consultation. Experts can provide real-time multi-party HD video guidance with the on-site engineer, whether on PC or smartphone, to jointly solve technical issues and reduce downtime losses.

This service can avoid children and elders being lost. Users merely have to bring the device with them, through the sensor installed at the service area, family members can immediately receive users’ instant position through exclusive website, LINE or App. 【Real-time Positioning】 The caregiver can dynamically query and know about the real-time location and the path data for each care receiver. 【Guarding Area】 The caregiver can set different areas as guarding areas, and they will be notified if any care receiver enters or leaves these areas.

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.

Smart Chiller control system integrated“Chiller”,“ECM Air Handling Unit”,“Direct Drive PM Cooling Tower”,“Variable Flow chilled Water Pump”and other equipment in satisfy operation and monitor power consumption in optimal power contract capacity. Different from traditional air conditioning system which would suspend operation upon occurrence of abnormality, TECO's system boasts active management "optimal energy conservation manage ment mode," capable of active alarming and adjustment, rather than response after occurrence of problem, thereby attaining the dual missions of "system energy conservation" and "automatic diagnosis."

The device incorporates cutting-edge Edge control technology and is compatible with various sensors. • Independent Operation The device can operate independently even when powered off or disconnected from the network, ensuring continuous operation and functionality. • Remote Firmware Update and Configuration It allows for remote updating of firmware and configuration settings over the network, enabling easy maintenance and optimization of the device. • Data Storage and Transmission The device is equipped with capabilities for storing and transmitting data, facilitating the collection and transfer of information as needed. • LED Indicators The device is equipped with LED indicators for power and communication status, providing visual feedback on its operational status. 1.Model No: AIOT-C01 Fog Detection Controller Application Scope: Mountain Roads, Railways, Highway, Airport, etc 2.Model No: AIOT-C02 Rainfall Detection Controller Application Scope: Mountainous Area Water Level and Rainfall.

In the wave of Smart City 4.0 and ESG, Jobdone helps businesses move towards net-zero construction. This solution provides a comprehensive PMIS system, completely replacing traditional paper-based operations through the full digitization of construction logs, daily supervision reports, and material inspection tests, achieving ultimate paperless office operations. Through precise data management, developers can effectively reduce material waste and waste generation caused by construction errors, reducing hidden carbon emissions at the source. Jobdone digitizes complex project permissions and processes, not only improving efficiency but also transforming every piece of construction data into carbon reduction achievements, becoming the most resilient net-zero solution in urban construction.

Detect Traffic Anomalies Quickly. Minimize Risk. Traffic risks arise suddenly and unpredictably, challenging traditional monitoring systems to detect them in real time. With advanced AI-powered video analytics and intelligent event detection, Ability Intelligent delivers real-time, automated identification of traffic anomalies—capabilities that exceed traditional monitoring—by instantly flagging vehicle stoppages, wrong-way driving, congestion, pedestrian intrusions, and other unexpected incidents, all accompanied by visual alerts for actionable intervention. The system proactively identifies abnormal conditions and potential risks, helping traffic authorities shorten response times, prevent incident escalation, and strengthen overall road and public space safety. Ability Intelligent empowers safer, resilient urban transportation with proactive technology.

- Zero-Code AI Security Enable enterprise-grade protection via an OpenAI-compatible API—no code changes required. Instantly defend against Prompt Injection and PII leakage. - Flexible Enterprise Guardrails Supports Inline and Shadow modes with Prompt & Response Guardrails to detect and block risky interactions in real time. - Scalable AI Governance Built for scale with auto-scaling, multi-tenant management, and seamless SIEM/SOC integration via Alert APIs.

airaTrack is a comprehensive personnel tracking system that utilizes AI algorithms developed by our team to extract features from both the "face and figure." It generates unique biometric IDs with a recognition accuracy of up to 99%, all without the need for registering facial data, addressing privacy concerns. Capable of cross-camera searches and matching 10,000 faces per second, it significantly enhances the efficiency of traditional manual matching processes and increases search efficiency and accuracy by 97% enabling automatic path tracking of personnel in the field. The system also generates investigation reports for evidential preservation.

Intelligent Positioning System can remotely track the paths, remotely set the access authority, and provide the access alarm and SOS alarm based on configured location Bluetooth sensors. There are three applications: [Guardian Wristband] Authority can know whether home quarantine people are at home. Through the beacon wristband connects with receiver. If home quarantine people are leaving home, the system will send notification to the authority. [Indoor Navigation] Locate users’ position via Bluetooth and precede indoor navigation to let users know their position and find the way in building. This service is applicable to large areas such as airports, stations, department stores, etc. [Intelligence on People Seeking] With smart positioning wristband, users can instantly know current location of their children or parents via App. It could avoid the common problem of missing family.

The Taichung Local Tax Bureau has launched the "Local Tax AI Anywhere Door," a 24/7 intelligent service platform powered by AI and Natural Language Processing (NLP). By integrating local, national, and cross-agency data, the system utilizes Deep Learning (BERT) and a specialized tax knowledge base to provide precise, multi-turn conversational consultations. The platform also features online applications, tax simulations, e-payments, and live text/video support, drastically reducing processing time and costs for citizens. To date, it has served over 440,000 cases with 99% accuracy and over 90% satisfaction, effectively lowering transportation-related carbon emissions and demonstrating the power of human-centric digital governance.

Prof. Ming-Yen Lin’s Team – A Prediction Model for Type 2 Diabetes Complications Our research group develops a decision-support prediction model for type 2 diabetes complications using data from over 163,000 Taiwanese patients. Integrating age, HbA1c, and other dynamic factors, the model estimates long-term risks of major complications and mortality, visualizes future trends, and supports personalized care planning to improve disease management and outcomes.