S-0234
Pixel Eye Vision-Based Fall Detection
AI can monitor what is happening at the sites. Solutions with surveillance, response, and warning system turn everything the cameras see into valuable information for analysis. It allows prompt response on emergencies and access controls for unsafety areas as well.
• Real-time: Able to detect objects in real-time with low latency and high FPS
• CCTV camera-based: Can connect to many popular CCTV cameras directly without any extra hardware installation
• Privacy protected: Mask Personally identifiable information and will not store those information in the database
• Multiple classes: Able to detect different types of objects at once in the same image
City Management
Development
Education
Employment and Labour
Environment
Health
Housing
Population
Social Welfare
Artificial Intelligence (AI)
Data Analytics
Deep Learning
Natural Language Processing
Predictive Analytics
Video Analytics
Cameras provide very rich information about persons and environments and their presence is becoming more and more important in several everyday environments due to surveillance necessities. Vision-based fall detection systems play a very important role in health care and assistance systems.
Pixel Eye using connected-components extracting the whole body features for combining our database information to detect positions and also falls.
Application Technology Co. Ltd
34897999
Unit 207, 2/F, 19W, 19 Science Park West Avenue, Hong Kong Science Park.
If any government department would like to conduct PoC trial or technology testing on the I&T solution, please contact Smart LAB.