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

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.

This project is deployed in a large-scale fish farming area in southern Taiwan, where ponds are widely distributed and geographically fragmented, creating challenges for long-distance network connectivity and real-time surveillance. The solution utilizes fiber optic links as the backbone to ensure stable long-range transmission across the site. EAP610-Outdoor wireless access points are deployed to extend network coverage through a mesh architecture, effectively reducing the need for repetitive cabling. For surveillance, the system integrates an NVR4032H with InSight S345 and InSight S345ZI bullet cameras, delivering stable and reliable video transmission. Combined with PoE switches, this solution establishes a flexible, efficient, and reliable network and intelligent surveillance infrastructure tailored for aquaculture management.

EdgeLink-X is an AI-driven heterogeneous edge-network platform built to provide resilient, low-latency connectivity for intelligent transportation and railway environments. The system forms a multi-layer architecture that unifies field communications, sensing, video capture, and edge analytics into a reliable and adaptive communication framework. At the field level, IP110H and IP503H Lite IP radios deliver instant voice communication and group coordination for frontline personnel. Sensors and cameras are connected through the AG260 AIoT Gateway, while the AS710 Wi-Fi 7 indoor access point provides high-quality Wi-Fi coverage in stations, platforms, and passenger areas to enhance traveler connectivity. Long-range, time-synchronized backhaul is supported by the SP250 Series, ensuring stable, high-throughput wireless links across trackside and outdoor environments. At the core, the zMEC edge-computing platform performs real-time AI video analytics, abnormal-event detection, and rapid data distribution to minimize latency and support mission-critical responses. By integrating Wi-Fi, LTE, 5G, PTP wireless backhaul, and AIoT devices into a single cohesive system, EdgeLink-X enables applications such as slope monitoring, intersection intrusion detection, pantograph spark/wear monitoring, and onboard operational visibility—forming a robust foundation for next-generation safe and intelligent mobility.

Through matchmaking of public and private forests, enterprises can acquire forest-related data through hosting mechanisms. This includes metrics such as survival rate, tree height, carbon sequestration, and corresponding SDGs (Sustainable Development Goals) indicators. Leveraging deep learning and image processing technology, CoCoTree transforms trees and forest landscapes into data, providing customers with highly accurate forest information. This includes metrics such as carbon emissions, tree growth status, and changes in the ecosystem.

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.

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.

Micro-grid refers to the integration of distributed power sources and energy storage system in a certain area to supply the electrical energy needs of users in the area. It's a regional power grid with the ability to control power, which can disconnect from the traditional large power grid and operate. Installing green electricity can help reduce peak mobile electricity bills, and you can also get a green electricity voucher. Likewise, peak shaving and valley filling can reduce the maximum load demand and reduce the contract capacity with saving electricity bills. In emergency micro-grid could supply certain amount of electricity through energy storage system as well.

Delta's smart city solutions are based on three main axes: smart park management, smart light poles, and community security monitoring: smart park management uses a cross-system city information integration platform that handles a wide range of data transmission, aggregation, visualisation, and analysis to help achieve the goals of smart city governance. Intelligent light poles provide low-carbon lighting services in the parks, and at the same time serve as information collection and transmission nodes for the intelligent Internet of Things, while security surveillance protects people and assets in the parks and the city from infringement. Delta's smart city solutions help customers achieve a better smart city with both technology and humanity.

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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.