I'm developing a system for detecting the presence of people in a warehouse but want to avoid using any biometric detection methods such as facial recognition, fingerprint scanning, or voice detection. The key is to maintain privacy while monitoring human activity for purposes like safety, automation, or tracking. I'm looking for ideas, like using a unique worker ID or similar non-biometric techniques to achieve this goal.
4 Answers
Your request seems a bit confusing. Are you looking to identify these people or just detect their presence? If it's strictly presence, it's more straightforward and can be done without compromising privacy. But if you’re considering identification without standard biometric methods, it might not be as clear-cut—anything you use could still risk revealing personal info.
It all depends on the level of detection you need. For instance, you know those anti-theft frames in stores? You might think about implementing something similar with a badge tag that uses short-range detectors. Just keep in mind, that's more about detecting the badge than the person.
You could go with motion detection or install proximity sensors around the warehouse. These non-intrusive methods might help track movement without invading privacy.
If you're open to using cameras, why not set up a simple AI model like YOLO? It could detect humans without linking them to their identities, and although it can assign random IDs as people move, it may change over time. Just be cautious, as this could still edge closer to identification.

Related Questions
Google Nest Doorbell Not Alerting Google Hub Or Google Mini
Can't Rename Google Nest Doorbell