Performance & Findings with 300 pictures.

[mr-pl3r]

Hi there @nwesem ,
First of all - thank you for this repo.

Second of all, I have loaded the imgs folder as of today with 300 pictures of people, and the system seems to be working within ~70% accuracy or less.

Please see below some of my findings I had during the deployment:

• Lighting during the recognition process. - the system is located outdoors and usually in the mornings (when the sun hits the camera directly) the system will get the lowest accuracy.

• The initial picture taken should be taken with a high resolution camera, so far I have seen that pictures taken with a resolution of 3000 X 4000 have better results than pictures taken with a high resolution webcam with 1080X1920 resolution.

• Another point is the usage of facemasks, which throws off the system and triggers false positives - sometimes "recognizing" two or three people with the same person (not registered) wearing a facemask.

Questions:

• Is there a way to increase the accuracy by getting the system more strict when it comes to compare the faces ? This to reduce the false positives.

• What are your suggestions in terms of lighting ?

• If I would like to reduce the amount of faces to be detected down to one, what or where is the parameter I need change? Since the main.cpp after I changed it, still recognizes two or three faces even when the parameter was changed down to one.

Thank you again for your repo and help, take it easy!

FYI - The system has been running for a week or so, as I get more findings I will post them here for your reference.