Project Introduction:
The team focuses on research related to object recognition and tracking based on computer vision. A lightweight deep learning algorithm designed for object recognition and tracking is proposed. A system for visual-based object recognition and tracking has been developed, which includes subsystems for hardware, lightweight deep learning training, and performance evaluation. This system achieves an effective balance between object recognition and tracking accuracy and real-time performance.
Application Fields:
Autonomous driving, mobile robot navigation, video surveillance.
Technical Advantages:
High object recognition and tracking accuracy combined with real-time performance.
