I'm working on a project in which images/video will need to be processed in order to detect certain objects within the frame. For this project, I'm in charge of selecting hardware (image sensor, lens, processor, etc), and I'd like to select the lowest cost image sensor possible for cost-constraint reasons. For the application, the camera will adhere to the following two requirements:
- The camera will be at a fixed position
- The distance to the object of interest is known
So, I'm wondering if there is any data/recommendations like the following:
"Based on algorithm X (e.g. face detection), select an image sensor / lens combination so that the object of interest is covered by a pixel-density of at least 40 pixels-per-foot."
For a few use cases, such as face detection or face recognition, I've found some materials available online that have recommended minimum PPF requirements to ensure acceptable data is fed to the algorithm (Pixel Density Reqs for Face Detection). Obviously, any detection requirements are heavily algorithm dependent, but I was hoping maybe someone could provide some insight or resources they've come across to address this.
Some (slightly) more specific information - if possible, I'd like to be able to perform the following:
- Perform facial detection (not necessarily recognition)
- Discern/detect a human from the front, back, and top
Also, I'm aware that there are image processing libraries available for computer/machine vision (such as OpenCV), could this library (or similar ones) contain this information? I'll look into it, but if someone has a specific library to reference that would be very helpful.
Thanks!