With the rise of smart cities and cloud technology, building security has evolved from traditional surveillance to AI‑driven proactive protection. Our electronic perimeter security solution establishes an invisible defense through five layers. First, AI visual recognition performs human detection and skeleton tracking, filtering out non‑human interference. When individuals linger in sensitive zones beyond a set threshold, the system triggers initial warnings via speakers and lighting. Second, if a target crosses the virtual perimeter or enters restricted areas, the system instantly identifies illegal intrusion and pushes alerts and live footage to the control center or homeowner. Entering the active countermeasure stage, the system can lock access doors, activate outdoor lighting, and enforce tracking to isolate intruders. If threats persist, the highest‑level electronic deterrence is deployed: high‑decibel alarms to draw attention, intense strobe lighting to disorient intruders, and automatic connection to police or security services to secure external support within the critical response window. This integrated solution combines AI, cloud, and building facilities to deliver early warning, confirmation, and counteraction—greatly enhancing the safety resilience of smart buildings.

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 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.

Acer ITS self-develop smart parking meter system provides vehicle detection, license plate recognition, auto-ticketing, multi-payment functions to achieve the goal of payment automation for roadside parking. It also provides instant parking space information so that drivers can see the parking availability through mobile APPs to avoid circling in the city that causing traffic jam and higher carbon emissions. It collects parking information through auto-ticketing system, and feeds in big data platform to produce accurate turnover rate and usage rate. These data are the base of policy making for parking authorities. Applications with automation, intellectualization and mobilization provide drivers with nice parking experiences, and enhance parking management performance for parking authorities. Let smart parking become new smart city indicator for satisfied people and high performance government.

Integrated production management system covering 4M1E. Features real-time data collection, digital Kanban visualization, and full traceability. Enables paperless operations and complete process transparency. 1. Real-time Monitoring: Connects equipment signals to display WIP, utilization rates, and yield data instantly. 2. Traceability: Records comprehensive production lot numbers and process parameters for quality auditing. 3. Smart Scheduling: Optimizes production plans based on capacity constraints and order requirements.

The iMADC-STD is an automated dispensing cabinet that provides a safe and accurate medication management solution in the pharmacy. It dispenses medication, controls inventory, manages user access, reduces time, and improves efficiency for the facility. ADC optimizes the dispensing process, reduces human error and workload for pharmacists and nurses, and truly improves drug management. Integration with EMR/HIS and synchronization with clinical orders. Multi-permission management using ID/RFID cards. Real-time tracking of medication inventory and access status.

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.

1.Special design of water metering structure for users of high-rise building and smart houses. 2.Multiple water meters are connected in series to share the construction cost, which is most in line with economic benefits. 3.Graphical presentation of water usage data helps users manage water consumption. 4.Combined with the alarms of abnormal conditions, if there is suspected water leakage or suspected reverse flow, the system will take the initiative to inform. 5.Assist in water and water conservation management, and help users formulate exclusive usage warning ranges.

【Smart Medical - Smart Cloud Rescue System】:Online pathology data helps emergency ambulance services and professional care in hospitals , it also break through geographical restrictions and share medical resources.

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

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.

Criminal and street violence cases will affect and cause panic to citizens. In order to diminish street violence cases, reducing the time to solve these cases, protecting citizens’ lives and properties, and allow citizens to live without fear, the Kaohsiung City Police Department (KCPD) built the “3D Street Violence Early Warning, AI Intelligence Collection and Integration Platform” (hereinafter called “the Platform”). The platform utilizes the Internet of Things (IoT) to combine AI image recognition and sound sensing technologies for cross-domain big data analyses. KCPD established cross-platform data interfacing and integration, mainly through “data integration” and “network analyses” to collect with the municipal government’s transportation bureaus and social bureaus; and import existing data from the KCPD data platforms. The Platform will, through web service API, (a) retrieve data built by information systems, (b) conduct big data analysis, aggregate applicable intelligence data and present it in the form of dynamic information, (c) Integrate all information and display it as maps and topologies, improve case handling efficiency. According to KCPD employees’ query, they can adjust factor weights and relationships. Analyze the results based on rational mathematical models and professional case-handling concepts, so that intelligence analysis goes beyond the limitations of platform developers and allows criminal police to maximize their capabilities.