I have an OpenMV Cam H7. I have been playing with the examples and have been quite impressed with the progress you all have made since I bought the camera over a year ago.
I am exploring options to build a simple pedestrian counter for a local municipal pool. The idea is to place a camera in the one hall that people use when to entering / exiting the pool. We would like to see if we can count two things: 1) Pool utilization by day / daypart and 2) Estimate the number of people at the pool at any one time. We also do not want to collect any personally identifiable information so, I would like to send just the counts to a separate microcontroller which will store and report the data via a cellular modem (this part I have a high confidence in).
The question is this: Can the OpenMV Cam H7 do the following (indoors, good lighting, fixed placement)
- watch the hallway with high enough frame rate to capture pedestrians
- identify people walking alone and in groups
- count people moving across an imaginary line across the hall - count up for folks walking in and down for folks walking out.
- Once trained, run this model locally with no external computing resources required.
My other candidate for this is a Raspberry PI and OpenCV but I like the simplicity and embedded form factor of the OpenMV Cam.
Thank you and - again - great work on this product!