AI Visual Computing

AI Visual Computing refers to the process of analyzing, processing, and understanding images and videos using artificial intelligence and visual computing technologies. This technology has wide-ranging applications in various scenarios.

Here are some benefits of AI Visual Computing:

1. Automation and Efficiency: AI Visual Computing can automate the processing of image and video data, saving manpower costs and improving processing efficiency. It can quickly analyze large amounts of visual data and extract valuable information, which is useful in industries that deal with a large volume of images or videos, such as manufacturing, surveillance, and security.

2. Decision Optimization and Safety Improvement: AI Visual Computing can help make more accurate decisions. For example, in traffic monitoring systems, it can automatically detect and identify traffic violations, thereby improving traffic safety. Similarly, in medical image analysis, it can assist doctors in diagnosing diseases quickly and accurately, improving the accuracy of medical decisions.

3. Enhanced User Experience: AI Visual Computing can be applied in areas like virtual reality, augmented reality, and gaming, providing users with richer and more realistic experiences. It can enable functionalities like facial recognition and gesture recognition, allowing users to interact more naturally with virtual environments.

4. Data Analysis and Insights: AI Visual Computing can extract valuable information and insights from images and videos. This is useful in areas such as market research, social media analysis, product categorization, and monitoring. For example, it can analyze users' emotions and interests from social media images, helping businesses better understand user needs and formulate corresponding strategies.

AI 視覺運算
AI 視覺運算
Property Management

Facial recognition, people counting, behavior analysis, intrusion detection, and event recognition. Through analyzing monitored video data, real-time monitoring, automatic alarms, and prevention of security incidents can be achieved.

Smart Construction

Utilize cameras for intelligent detection on construction sites, including fire detection, unauthorized entry control, and safety passage blockage. Additionally, conduct PPE checks on individuals entering the construction site. Utilize drone videos to analyze construction quality.

Smart Campus

Monitor campus security and access management, including facial recognition, personnel loitering, unauthorized intrusion, people counting, firework detection, illegal parking, and obstruction of fire exits.

Sewage Monitoring

Utilize video or scheduled snapshots to analyze the color and pollution level of rivers or coastlines. Distinguish and detect garbage or floating objects, as well as other illegal area invasions, swimming in restricted areas, or unauthorized fishing.

Traffic Monitoring

Traffic monitoring, license plate recognition, and traffic accident detection. Monitor traffic flow, detect traffic violations, and provide real-time traffic information.

Retail & Consumer

Analyze video footage for retail stores to conduct people counting and customer behavior analysis. Data analysis accelerates business decision-making to optimize store layout and product displays, providing personalized shopping experiences.

Environmental Protection

Monitor natural disasters such as floods and fires. By analyzing images and surveillance videos, it is possible to detect and monitor the location and extent of disasters in real time, providing timely alerts and warning information.

Wildlife Monitoring

Monitor and protect wildlife. Analyze videos captured by surveillance cameras or drones to identify species, quantify wildlife populations, detect any illegal intrusions into wildlife conservation areas.

Medical Diagnostics

Image analysis can be used for automated analysis and interpretation of medical images such as X-rays and CT scans to assist doctors in quickly detecting and diagnosing diseases such as tumors and fractures. Furthermore, image analysis can be utilized for progression monitoring.