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.

Overview: This solution integrates traditional access control with blockchain technology to manage entry permissions via distributed ledger technology (DLT). Unlike traditional centralized databases, our system effectively prevents unauthorized data tampering and provides a superior level of identity verification. Core Highlights: Decentralized Permission Management: Access rights are stored on the blockchain, eliminating "single point of failure" risks and preventing unauthorized internal database alterations. Hardware-Based Authentication: Utilizing Blockchain technology, the system verifies digital identities through private key signing, offering unparalleled anti-counterfeiting capabilities. Immutable Access Logs: Every entry and exit record is time-stamped and encrypted on the blockchain, ensuring a transparent and traceable audit trail for corporate security. Seamless Integration: Ideal for corporate offices, research labs, and high-security server rooms, supporting mobile NFC or smart card interaction.

SEO is dead. GEO is the future. Consumers no longer click links — they ask AI for answers. Will your brand show up? Citora.ai is a Generative Engine Optimization (GEO) platform built for the AI era, ensuring your brand gets mentioned and recommended by ChatGPT, Gemini, and other AI engines. Our proprietary Generate-Test-Optimize loop automatically translates your content into AI-native language, monitors your brand's visibility and ranking across AI engines in real time, and tracks competitor movements to deliver precise optimization strategies. In the world of AI, citations build trust, and recommendations drive traffic. Citora.ai helps you capture the AI search advantage — and stay ahead.

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.

1.Integrate smart water meters, wireless communication interfaces, and online management system to supply a comprehensive solution. 2.Suitable for management of water supply in cities and water consumption in areas like schools, and shopping malls, etc. 3.Real-time monitoring: Integrating GIS information, the system can help users to seize instant water data. 4.Data Analysis: Integrating comparison of water consumption in multiple durations and water balance application to improve leakage and decrease Non Revenue Water(NRW). 5.Abnormal Alarm: With configurable setting of upper and lower limits for water consumption, the system will send a warning message to users when the amount exceeds the acceptable range. 6.Individual Billing: For shopping malls and dorm rooms, the solution can assist managers to independently calculate consumption amount for each vender and household, making billing fair and reasonable.

For Manufacturing (RosettaBox): Delivers "Superhuman Efficiency." By processing real-time edge data, it detects anomalies early, empowering managers to optimize production decisions without disrupting workflows.

MIRDC’s continuously Rotating Wind Turbine UAV Inspection System can effectively inspect the working wind turbine without interference. It takes 5 minutes to complete the inspection of a single blade to effectively detect 4mm small cracks. The system will not lose power generation by turning off the wind turbine, further observes the actual movement status of running blade structure and pillars to grasp the defects beforehand.

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.

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.

Across urban and industrial environments, public facilities, critical assets, and infrastructure systems are often highly complex and geographically dispersed. Even minor abnormalities, if not identified and addressed in time, can lead to safety risks and operational disruptions. The Smart Mobile Inspection System is designed to address these challenges, enabling governments and enterprises to establish forward-looking digital inspection and maintenance management capabilities. The system integrates mobile devices, sensor data, and visual information, leveraging real-time AI analysis and anomaly detection to transform potential risks into predictable, traceable, and actionable management tasks. From anomaly alerts and intelligent task assignment to on-site reporting and final verification, the platform seamlessly connects every stage of the inspection workflow, delivering a fully digital, end-to-end inspection and maintenance management solution.

Smart Multifunctional Periodontal Pathology Quick Screening System (SMPPQSS) is the first product able to automatically identify the position of teeth and then to calculate the distribution area of dental plaque simultaneously. The system also provides a new painless gingivitis examination method that could relief examining discomfort. Neither the need of the plaque disclosing tablet nor a probe to penetrate into the patient’s periodontal pocket to determine the degree of periodontitis. Once all tooth-related data is automatically filled into the periodontal digits, the medical record sheet is uploaded to the system directly. It shortens the process to less than 10 minutes, greatly reducing the discomfort of patients during the examination as well as shortening the time doctors need to diagnose and record. SMPPQSS is easy to operate and portable. Dentists or dental assistants can check periodontal health quickly with no restriction of facilities, patients can receive a more convenient medical care even in remote rural areas or at home, or with limited mobility.

Dr. Hung-Lung Lin’s Team – An Auxiliary Assessment System for Coronary Heart Disease Identification In response to population aging and the younger onset of coronary heart disease (CHD), this study develops an AI-based auxiliary CHD screening system integrated into a mobile app. Grounded in traditional Chinese medicine tongue–heart theory, the system analyzes sublingual vascular images using reflection removal, image segmentation, and a multi-head attention deep learning model. Users can obtain accurate, reproducible screening results and health recommendations within 7–20 seconds using only a smartphone, enabling convenient and cost-effective preliminary CHD assessment.