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.

With the rapid growth of electric vehicles (EVs) in Taiwan, the demand for charging infrastructure is increasing. However, most developments focus on high-power DC fast charging systems, which face significant challenges. Complicated feeder application procedures and imbalances in urban power grids make it difficult to deploy medium and large-scale charging stations. While AC chargers (up to 22kW) are easier to install, they fail to meet the need for fast and efficient charging. To address these challenges, GREAT introduces the "Charging Silk Road" solution. This innovative system combines advanced energy storage systems (ESS) with fast charging equipment to enable independent power supply and reduce reliance on the public grid. By integrating renewable energy sources such as solar and wind power, the system maximizes energy efficiency and sustainability. Additionally, the solution features Vehicle-to-Grid (V2G) capability, allowing stored energy to be fed back to the grid during peak demand or emergencies, supporting grid stability. Through a distributed, multi-site deployment model based on independent microgrids, GREAT’s Charging Silk Road creates a flexible, resilient, and efficient green charging network, accelerating the transition to net-zero carbon emissions.

Z-COM has invested in heterogeneous network integration R&D for years. Through partnership with global leading Telco operators, we’ve accumulated abundant experience in telecom system integration with Wi-Fi- extended broadband network, to offload traffic from 3G/4G mobile networks as well as providing mobile network coverage with less cost. Over the years, Z-COM’s carrier grade solutions are used to deploy massive scale of Wi-Fi hotspots and various applications for smart city. The new Z-COM carrier-grade wireless network solution introduces Software Defined Network (SDN) architecture, with Edge Computing concepts for Artificial Intelligence of Things (AIoT) applications. The solution offers higher wireless bandwidth, separates control and data plane for edge computing, that provides customized products equipments and software with compatibility, stability, scalability, and security for mobile network operators. Z-COM solutions offer best cost/performance value, with rapid deployment and easy management tools that help telecom operators reduce capital investments and operating expenses, accelerate cost recovery and increase profits.

ITS traffic data collection has solved the laborious and time-consuming task of manually calculating traffic flow in the past. It aims to achieve the goals of smoother road conditions and reduced accidents through intelligent traffic diagnosis. By utilizing intelligent transportation systems, the system automatically tracks vehicles, identifies vehicle types, predicts trajectories, and transforms the data into useful information. This assists in real-time interpretation and improvement of traffic engineering. This system is particularly crucial in Taiwan, where over 60% of traffic accidents occur at intersections. Through big data analysis, identifying issues and formulating solutions is possible, thereby lowering accident risks. This approach proves more effective than simple advocacy and alerts.

The cleaner the sorting of recyclables in the resource circulation process, the higher their reusable value. We leverage the most advanced AI vision recognition technology to introduce innovative applications into existing production lines. Our systems automatically inspect the targets to ensure the purity of sorting, thereby increasing the reusable value and maximizing profits for the factories. By collecting and training with actual production line image data, we continuously update the dataset to handle various compositions of recyclables. Our vision recognition equipment features low-power hardware that can be easily and simply installed onto existing production lines. Additionally, we can create diverse labeling data for various recyclables.

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.

Smart Network Management Software (NMS) – Cyber Monitor ● Provide the management ● Based on SNMP, it provides a single and friendly web interface for network admin clearly and easily to grasp the network situation. ● Automatically detect and manage network devices to monitor network performance. ● For network abnormalities and failures, automatically forward alarm reminders and dependency analysis to network admin in order to solve problems. ● Network devices are automatically discovered and managed, and the device list can serve as a baseline for inventory taking. ● Analyze network traffic to improve the visibility and management of network operation. ● Provide network security management under the SNMP architecture to avoid external malicious attacks and internal misuse. ● Flexibly define groups to improve the effectiveness of network management. ● Highly flexible and scalable, it can be customized according to the company's attributes and needs, therefore, strengthen the efficiency of network management.

FET Energy Management System(EMS) is able to generate electricity consumption analysis and gives advice on electricity saving with electricity meter and environmental sensors. It can be expanded and integrated with electromechanical control or renewable energy facilities to automatically save electricity. FET EMS can be used in buildings, chain stores, factories and also campus. Features * Easy to compare the power consumption trends by MoM / YoY / Dist. / building * Support TaiPower Open ADR protocols, enable utilities to cost-effectively manage growing energy demand & decentralized energy production

Advanced machine learning algorithms process massive amounts of data collected from a building's HVAC system in real time. This technology enables a comprehensive analysis of various factors, including energy usage patterns, occupancy rates, outdoor climate conditions, and more, resulting in highly accurate HVAC system operational optimization. Our technology offers greater energy savings than traditional BMS solutions and is able to save energy while maintaining indoor comfort, allowing for quick and seamless integration into existing HVAC systems without the need for costly and time-consuming hardware upgrades.

SNAPPASS is a next-generation 2FA access control solution that converges facial recognition with card-based access. By encrypting biometric data onto SNAPPIN cards, card owners have complete ownership over their data, enabling scalable and resilient biometric infrastructure that doesn't need a database or internet connection. 1. Enhanced Privacy Protection: Each user’s biometric data is encrypted exclusively onto their SNAPPIN card, processed locally only upon terminal activation, and immediately erased after authentication. By eliminating the storage of sensitive personal data, SNAPCHECK offers a scalable solution that safeguards identity privacy, providing institutions with peace of mind against threat actors. 2. Advanced Defense Against AI Threats: SNAPCHECK is designed as a formidable defense against AI-powered social engineering attacks. Equipped with a triple-camera HDR array and wide-angle optics, SNAPPASS reliably detects and identifies facial features even in the most challenging lighting conditions. When paired with SNAPCHECK’s advanced recognition and liveness detection algorithms, this system is prepared to counter emerging AI threats with precision and effectiveness."

1. Using mainstream proton exchange membrane stacks for system module design。 2. Accumulated twenty years of various durability and reliability tests. 3. Design for mass production。 4. 3~10 kW different power models。 5. Improved power density and specific power。 6. The Booster 100% MIT is a patented technology, the only one of its kind in the industry。

The innovative parking operations solution integrates AI-based Automatic Number Plate Recognition (ANPR), sensing devices, IoT infrastructure, and a cloud management platform. By streamlining parking management, reducing manual intervention, and providing actionable insights through real-time data, this solution helps parking operators maximize space utilization and enhance customer satisfaction with a transparent, data-driven, brilliant parking service. The system provides real-time visibility into vehicle entry and exit, space occupancy, and on-site traffic flow. It supports ticketless access and license plate–based payment. It also offers real-time parking guidance and multiple payment options. These features reduce labour costs and enhance the user parking experience. A centralized management platform and operational data analytics give operators insights into traffic patterns, space turnover, and revenue performance. This enables informed decisions on pricing strategies and space allocation. As a result, operators can achieve efficient, sustainable smart parking operations.