Artificial Intelligence Multi-Objects Classification and Localisation Performance Evaluation on RPi running Deep Learning and OpenCV with a Raspicam
Performance Evaluation of a Raspberry Pi running Deep Learning Mobilenet with a shrinked resolution of 640×480 raspicam for detecting 10 pre-trained categories/classes: bird, cow, cat, dog, sheep, horse, person, pottedplant, tvmonitor, chair.
The results show multi-objects classification and localisation in a complex scene within 80ms on a Single Board Computer Raspberry Pi.
Hardware cost: <150 USD.
Time cost: A lot of fun and perseverance.