Connect with HiPower’s ecosystem partners for end-to-end AIoT system integration, from front-end devices and AI models to data platforms, communication, and operations.
AI CAMERA × EDGE × ViDA.ai
HiPower integrates AI cameras, edge computing, IoT sensors, and the ViDA.ai data middleware platform to enable real-time perception, event alerts, trajectory search, and decision intelligence across transportation, public safety, parking, environmental monitoring, and industrial applications.
Connecting AI video, edge computing, and urban applications from edge to cloud
Edge Computing / Field Side
VBS · DFS · MVSS
API Integration Applications (Digital Content Enhancement)
AVI / VDS / QLD / IID / ANPR / PFD / FSD / CCR
Data Collection Middleware
+ AI Metagraph Service
Built around modular design, each recognition capability is an independently deployable and stackable AI system module
Real-time vehicle feature recognition in multi-lane environments, detecting vehicle color, brand, and license plate number while supporting ViDA.ai cloud-based vehicle trajectory analysis
Uses video to replace loop detectors, providing traffic volume, occupancy, and speed data while supporting congestion detection and signal optimization
Real-time detection and alerts for queue length and congested road sections, applicable to toll stations, ramps, and intersection queue management
Automatically detects and alerts on incidents such as wrong-way driving, stopping, lane crossing, and fallen objects; commonly used on highways and in tunnels
A license plate recognition module for parking entrances/exits and community access control, with whitelist and blacklist management integration
Designed for airports, malls, and exhibition venues, providing people flow statistics, crowd congestion warnings, and behavior analysis
Suitable for warehouses, tunnels, server rooms, and public spaces, with real-time smoke and flame monitoring
Combines container ID and license plate recognition for harbor, logistics, and factory access control
Designed for multi-lane scenarios, recognizing vehicle feature values for big data analytics.
Recognizes vehicle brand features and supports traffic data tagging and subsequent search.
Detects key features of high-risk events in public areas—recognizing not only people, but also behaviors and threats.
Provides 24/7 intelligent monitoring for critical infrastructure such as power, water, and telecommunications, preventing illegal intrusion, sabotage, and abnormal behavior.
Combines long-range video and radar data to automatically detect illegal crossing, smuggling, and suspicious behavior.
Applies AI behavior analytics to detect high-risk events such as abnormal behavior, abandoned objects, smoke, and fire alarms.
Integrates AQI, water level, and microclimate data to build a comprehensive environmental view and strengthen disaster response capability.
Unified integration of multi-sensor sources, field systems, and edge devices, providing scalable and highly reliable data governance capabilities, serving as the core foundation layer for multi-scenario AIoT applications
Integrates AVI / VDS / QLD / IID multi-source data to build a highway traffic video and event data foundation, fully supporting traffic flow analysis, anomaly detection, and decision optimization
Centered on ANPR, this solution combines detection, recording, and reporting workflows to create a highly reliable technology-based enforcement data chain, helping authorities improve transparency and efficiency
Combines ANPR, PFD and PARKAURA Parking to deliver complete smart parking operation integration, covering license plate recognition, rate calculation, leasing management, and site operation optimization
Uses IID and ROFA with IoT sensors to provide risk warnings such as slope displacement and water condition monitoring, strengthening early identification and response for major incidents
Integrates people flow, access control, patrol inspection, and related modules to create a complete unified campus safety management solution, improving site safety visibility and operational efficiency
Based on CCR, Rail CMS, and IID, this solution builds a unified level crossing and harbor incident monitoring management system to strengthen site safety operations
HiPower Milestones
Heavy rainfall can quickly reduce road visibility, slow traffic, and increase the risk of congestion.
HiPower is applying Vision-Language Models (VLM) to real-world traffic monitoring, enabling existing CCTV infrastructure to move beyond passive surveillance toward intelligent, automated road-condition analysis.
Through ViDA.ai × VLM, live highway images can be analyzed for multiple conditions simultaneously, including weather, traffic density, traffic flow, road conditions, and environmental abnormalities.
Beyond traffic congestion, the same VLM architecture can be extended to detect heavy rain, dense fog, flooding, rockfalls, smoke, and other road hazards, turning existing cameras into intelligent sensing nodes for smarter city operations.
The Dragon Boat Festival is a time to celebrate tradition, connection, and well-being.
As a technology partner in AI Camera, Edge AI, and ViDA.ai solutions, HiPower continues to connect cities, industries, and everyday life through smarter sensing and real-time intelligence.
On this special occasion, we wish you peace, good health, and continued success. May innovation bring new opportunities and brighter possibilities ahead.
✨ Happy Dragon Boat Festival
✨ Tradition Meets Intelligent Innovation
This year, we presented our AIoT Smart City Solutions, featuring AI Cameras, Edge AI, IoT sensing, and the ViDA.ai data fusion platform.
From video analytics and traffic event detection to parking, public safety, and VLM-based visual understanding, HiPower demonstrated how AIoT technologies can support smarter and more efficient urban management.
In 2026, Intel partnered with WT Group to host the Intelligent City Forum, focusing on practical implementation of Edge AI × Smart City × Data Middleware. With the theme “From Intelligence to Foresight,” the forum explored how AI architecture can upgrade cities from passive monitoring to Cognitive Cities with active decision-making capabilities.
HIPOWER passed the ISO/IEC 27001 annual surveillance audit, continuing to strengthen its information security management system and provide a secure, reliable data foundation for AIoT and smart city applications.
At the 2026 Smart City Expo, HIPOWER showcased multiple AIoT application achievements, focusing on AI video analytics, smart people flow analysis, and the ViDA.ai urban data integration platform to demonstrate practical implementation of data-driven city operations and real-time decision-making. Through real-world case demonstrations, HIPOWER presented complete solution capabilities from front-end sensing and edge computing to cloud platform integration.
June 2–5, 2026 · Taipei Nangang Exhibition Center, Hall 1, 1F · AI Computing & Technology Area · Booth: K0403
March 17–20, 2026 · Taipei Nangang Exhibition Center, Hall 2, 4F · National Highlight Policy Area · Booth: S710a
The event showcased AI video analytics and smart commercial district people flow detection management solutions, demonstrating how AI technologies can be applied to site management, operational analysis, and decision optimization. During the forum, the CEO shared how enterprises can use AI video data to improve process efficiency, enhance management quality, and accelerate intelligent upgrades.
Extending ITS and urban safety field experience from Taiwan, HiPower initiated AIoT application exchanges with European city representatives.
HiPower GreenTech Intelligent Control shared Taiwan’s smart transportation and AIoT achievements at the Taiwan–Poland Smart City Forum, deepening exchanges and expanding future cooperation opportunities in traffic monitoring and urban sustainability.
HiPower’s AI + IoT pedestrian warning system was deployed in Douliu and Paraguay, strengthening smart transportation safety and receiving broad recognition.
HIPOWER passed the certification review by the Administration for Digital Industries, Ministry of Digital Affairs, and continues to hold the AI Technology Service Provider Service Capability Registration certificate.
Focused on exchanges in smart transportation, environmental control, and sustainable development.
One-stop smart management—no buyout required, rent and use as needed!
An urban backbone integrating edge video and AI models.
Showcased AI model inference and event flows across transportation, public safety, environmental protection, and harbor domains.
HiPower GreenTech Intelligent Control has passed ISO/IEC 27001:2022 information security management certification. The certification scope covers the information security management system for cloud services and software development, maintenance, operation, and data center management.
HiPower signed a cooperation agreement with the College of Veterinary Medicine, National Chiayi University, to jointly promote an AI smart livestock farming project.
Thank you to every partner for your dedication and hard work, which helped us create many remarkable achievements over the past year and made the future full of possibilities!
In 2025, let us work together to reach new heights and move toward an even better future!
MFM_5020 & MFM_50TD network cameras have passed CNS16120 security certification for video surveillance systems.
In October 2024, HIPOWER joined the Taipei Computer Association (TCA) delegation to conduct business exchanges with the Las Rozas and Nîmes Chambers of Commerce. With support from local industry leaders and trade organizations, HIPOWER gained deeper insight into technological development and government visions in the smart city sector.
Today, our CEO, Kuo-Yang Hung, participated in the 2024 Smart Rail Seminar and delivered a keynote speech on AI foreign object incident detection and IoT environmental control detection application management, engaging in in-depth exchanges with bureau directors and industry experts from cities and counties.
Kaohsiung Asia New Bay Area AIoT Ecosystem Press Conference
Partnering with Feng Chia University to Build the “5G Video Equipment AI Technology Field Verification Project”