As you can see in the video GAP8 can reliably detect people in the room. The embedded neural network outputs the coordinates and size of bounding boxes around detected people. These can be used to provide a count of people or identify where a person is in the image.
Waking up every 5 minutes, acquiring a single image, running people detection and going to standby mode 24 hours a day 365 days a year on a 2400mA/h battery the system will operate 7.6 years.
The model accuracy on the current training data exceeds 93%.