Neural network classification method based on SqueezeNet. Images are captured by the camera processed and classified by the S32V processor and then displayed on the TV monitor with a confidence percentage calculated for each object visualized.
- Based on SqueezeNet, 501x fewer parameters than AlexNet
- Low power consumption - Less than 10 watts total
- Average top 1 accuracy of 58% and top 5 accuracies of 92%
- CNN built with APEX-DNN library