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.
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.