S-0001
PixelEye Object Detection
PIXEL EYE, adopted TensorFlow and Keras technology, plus high-end GPU computing, which achieved real-time object detection, tracking and object category recognition. This technology can also be applied to crowd flow monitoring with providing different information about the flow of people: such as number of people, average dwell time, distribution of detected objects at each location, and predicted movement paths and traffic data.
It can achieve good accuracy even the scene is very crowded and also handle overlapping of people properly. Our tracking system can provide various information about the customers such as the number of people, their average staying time, the distribution at each location and predict the moving path and traffic data. Such information can be available in real time, and we provide customizable backend for managers to view and analyze such information at their convenience with processing high performance GPU.
City Management
Commerce and Industry
Development
Education
Employment and Labour
Environment
Finance
Food
Health
Housing
Infrastructure
Law and Security
Population
Social Welfare
Transport
Artificial Intelligence (AI)
Deep Learning
Machine Learning
Video Analytics
This technology can be used to replace traditional data statistics methods, and suitable for environments that are prolonged, dense, and heavily overlapping. Users can accurately grasp real-time detection/recognition results through Data Visualization reports. Which helps with security monitoring, multiple object/object tracking, market statistics, smart city planning, etc.
Application Technology Company Limited
3489 7999
Unit 313, 3/F, 16W Science Park West Avenue, Hong Kong Science Park, Sha Tin, N.T.
If any government department would like to conduct PoC trial or technology testing on the I&T solution, please contact Smart LAB.