Media Source | Economic Daily News
Ability Intelligent Corporation advances AI video governance for smart city applications by integrating intelligent analysis of people, vehicles, and objects. Through real-time video interpretation, event analysis, and risk alerts, the company delivers customized security monitoring solutions to improve urban governance and safety.
Hao-Chung Liu, Director of Project Business at Ability Intelligent, noted that deploying AI video recognition in real-world environments is more complex than expected. The key challenge is adapting image analysis to changing conditions and converting recognition results into actionable events for operations.
Tonny Liu, Director of Project Business at Ability Intelligent, shares the company's AI video governance solution for smart cities. Photo by Yi-Ling Lee.
AI Video Governance Built Around People, Vehicles, and Objects
Ability Intelligent combines imaging technology, AI recognition, and domain-specific applications to develop AI video intelligence across three core dimensions: people, vehicles, and objects.
Unlike single-function surveillance systems, real-world AI must adapt to varying lighting, camera angles, spatial layouts, and environmental conditions.
According to Liu, AI systems require continuous feedback and optimization based on site conditions. Event definition, data annotation, analysis, and interpretation are essential to transform video data into decision-support insights.
The value of AI video governance lies not only in recognition accuracy but in contextual understanding and converting visual data into actionable intelligence.
Real-Time Crowd Intelligence Improves Large-Scale Event Response
Large events such as concerts and New Year's celebrations can rapidly attract dense crowds, causing dynamic changes in movement and distribution.
AI video analysis enables operators to identify crowd hotspots and congestion in real time. When crowd density increases, teams can respond early by adjusting traffic flow, rerouting pedestrians, initiating evacuation, or coordinating transport.
Compared to manual patrols, AI video intelligence provides faster visibility into crowd conditions, improving response efficiency and reducing manpower pressure.
AI Event Interpretation Enables Proactive Risk Alerts
AI video governance also supports public safety and incident analysis.
For example, at fire scenes, real-time video analysis provides situational insights to support emergency response and resource deployment.
In high-risk areas, AI systems can detect abnormal events or dangerous objects based on predefined criteria. Intelligent video search and review functions help operators quickly retrieve relevant footage.
These applications are being validated in collaboration with public-sector organizations to enhance public safety management.
By combining event recognition with real-time alerts, video surveillance is evolving from passive recording to proactive risk detection.
Contactless AI Inspection Strengthens Industrial Asset Protection
AI video recognition can be applied in manufacturing environments to enhance security and asset protection.
Liu explained that protecting confidential documents and critical components is essential for technology manufacturers, while inspection processes must comply with data protection regulations.
AI systems can be deployed in designated inspection zones to identify sensitive objects and enable contactless inspection and event recording.
Enterprises can define monitoring rules based on security requirements. When conditions are met, the system automatically generates alerts and supports event tracking.
This reduces manual inspections, minimizes physical contact, and lowers the risk of on-site conflict.
Vision-Language Models (VLMs) Enhance Video Reasoning and Risk Prediction
To meet advanced analysis needs, Ability Intelligent applies Vision-Language Models (VLMs) for visual reasoning and predictive insights.
According to Liu, VLM-based systems improve understanding of visual content, enabling more accurate risk identification and pattern recognition.
AI video applications are evolving from object detection to contextual interpretation.
By integrating visual and semantic data, operators can efficiently search incidents, review footage, and support decision-making.
Focusing on Smart Surveillance, Traffic Management, and Industrial Security
Ability Intelligent focuses on three key areas: smart surveillance, traffic management, and industrial security.
From crowd monitoring and public safety analysis to contactless inspection in manufacturing, the company delivers tailored AI video solutions based on site-specific needs.
Liu emphasized that AI video analytics and VLM technologies help organizations detect risks earlier, understand trends, and convert visual data into actionable intelligence.
As AI video technology advances, Ability Intelligent will continue to enhance real-time analysis, intelligent video search, and proactive risk prediction.
Media Coverage Source Note
This article is based on external media coverage and has been edited for the Ability Intelligent website. Information is subject to the original media report.
Read the full original article: https://money.udn.com/money/story/5635/9462291?from=edn_search_result
