I’m trying to detect if people are wearing: face mask, helmet and protective glasses on a contruction site (several people on the image). I already have a mask-not mask model working but now I have to detect these other accesories. What would you guys recommend is the best apporach since all accesories are worn in the face?
- Build a model that detects has/doesn’t have each of the elements (This might get complicated when a person has or lacks more than one accesory. Multilabel?)
- Build a model for each accesory and execute them at the same time for each frame (Will these be efficient on a Jetson Xavier NX? Any documentation on doing this?)
- Someone recomended finding the person (maybe with peoplenet, or just the face), crop that part of the image and run a detection model of the accesories. (Can this be done in DeepStream?)
- Any other approach you can recomment will be appretiated!
I’m working on Python, Jetson Xavier NX and Deepstream 5.0.1.