The Qualcomm Insight Platform (QIP) delivers an end-to-end video intelligence solution powered by Qualcomm Technologies’ industry-leading on-device AI. It provides centralized video intelligence management across diverse sources and leverages real-time edge AI analytics to reduce latency and accelerate decision-making. A built-in multimodal AI engine integrates image, speech, and text capabilities while optimizing performance, security, and total cost of ownership (TCO) for stable and highly scalable deployments. Paired with Innodisk’s edge AI box and IP cameras, QIP enables high-efficiency real-time edge analytics, supporting multimodal AI and natural language search while integrating seamlessly with existing infrastructure. It enhances worker safety, optimizes logistics processes, and strengthens restricted area management, helping organizations improve operational efficiency and risk control. The platform transforms surveillance into actionable security and operational insights with built-in privacy and compliance while ensuring data privacy and regulatory compliance. It is suitable for smart cities, manufacturing, energy and utilities, warehousing and logistics, retail and commercial spaces, healthcare and education, transportation, as well as enterprise and building management scenarios. * Qualcomm branded products are products of Qualcomm Technologies, Inc. and/or its subsidiaries. Qualcomm is a trademark or registered trademark of Qualcomm Incorporated.

A large number of commercial data are collected through object sensing technology, and the cloud-based visual interface and telecommunication operation surface data are used to assist enterprises to remotely manage the electricity consumption of buildings, manufacturers, business locations, and various branches in real time.

In order to achieve the goal of intelligent transportation in Hualien and alleviate the crowds and traffic problems brought about by the opening of the entire Suhuakai line and the traffic problems in the city center, the Hualien County Government has developed a design that conforms to the local characteristics and constructs intersection numbers through the "Development and Construction Design of Intelligent Transportation System". Using smart technology to make traffic policies more accurate. Entrusted "Chunghwa Telecom Co., Ltd." to stage software and hardware in the "2018 Hualien Intelligent Traffic Integration Management System Construction Plan in Response to Su Hua Changing Vehicles", "2019 Hualien County Smart Traffic Management System Expansion Plan", The "109-Year Hualien County Smart Parking and Guidance System Construction Plan", "110-Year Hualien County Smart Road Network Management Integration and Traffic Corridor Improvement Plan" and other projects have been completed successively. There are five functions for overall optimization and refinement: "Cloud Smart Traffic Control", "Restructuring Time Signs", "Traffic Big Data Value-Added Application", "Signal History", and "Smart Parking"

Specially for micro parts with a diameter less than 2mm, the CMHT is equipped with integrate automatic feeding system, automatic monitoring and carburizing quenching furnace for real-time adjustment, innovative oil tank, collecting device and intelligent digital services. It provides the heat treatment industry with customized, intelligent production solution. Its advantages are as follows ‧ CMHT has 100% collecting rate (50~60% for traditional equipment), 99% yield rate (50~65% for traditional one). ‧ CMHT reduces heat treatment schedule from 30 days to 2 days only. Based on demand, CMHT can rapidly replace process modules to substitute whole traditional heat treatment equipment and price of CMHT is only half of traditional one. ‧ Introducing intelligent digital service function, CMHT transforms experiences of traditional equipment into data decision, reduces reliance on human experiences, sets up industrial IoT solution and provides heat treatment industry with smart manufacturing via cloud services. ‧ Won the international honor of R&D 100 Awards and Edison Awards.

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.

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 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.

Far EasTone’s Traffic Signal UPS System ensures that intersections remain “lit and flowing” even during power outages. By integrating Far EasTone’s self-developed monitoring and management platform with smart batteries and signal controllers, the system can instantly track battery levels, utility power status, and device health. When an abnormality in the utility power occurs, the smart battery automatically takes over to keep the traffic lights operating normally. This enhances road and public safety while preventing sudden traffic disorder or additional carbon emissions caused by congestion. At the same time, battery and UPS data are sent back to the platform, allowing management units to detect abnormalities in real time and respond quickly—building truly stable and uninterrupted smart mobility for cities.

In the evolving architecture of smart cities, AI-powered smart parking systems have transformed from standalone parking management tools into critical nodes within intelligent urban operations. By integrating AIoT sensing, image recognition, and cloud platforms, the system enables real-time parking occupancy monitoring, license plate recognition, and traffic flow prediction, enhancing traffic efficiency and optimizing road resource allocation. It connects people, vehicles, facilities, and payment processes into a unified ecosystem, streamlining circulation and improving user experience. By incorporating EV charging infrastructure, the platform supports green energy dispatch and low-carbon transformation. Acting as a data-driven hub, it interfaces with traffic signal systems and municipal platforms, forming a foundational infrastructure for cross-domain smart governance.

The need of video surveillance has increased with the issues of campus, public places security and intelligent transportation. What’s more, high-resolution image, identification, analysis and AIoT applications are getting popular than before. People are strict in the performance of transmission and computing. Internet communication technology has entered a new era as well. To achieve intelligent service, zMEC ’s platform as service through Kubernetes-based architecture which can not only integrate with the third-party but also expand different AIoT software application modules, such as identification and analysis, electronic fence. Besides, the technology of edge computing can reduce the demand of video and audio data for cloud center computing access and network bandwidth resources, so as to make up for the problem of traditional cloud computing delay and unsafe transmission link. It meets the need of high frequency bandwidth and low latency, and to satisfy the needs of information security and privacy protection.

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.

With the emergence of technologies such as 5G, the Internet of Things, Artificial Intelligence and Cloud Computing in recent years, the server industry has experienced explosive growth. In line with the two major trends of "software definition" and "open standards," private industry and governments are collaborating to promote numerous high-tech research projects and the development of critical technologies. As the cloud industry chain continues to evolve, the annual power consumption of data centers, which are made up of numerous individual servers, increases greatly. Consequently, the effective thermal management of servers and data centers has become an increasingly crucial issue.