I’ve done something similar by integrating with an IOT device that does:
- Facial Recognition
- Body Temperature
- Heartrate
- Respiratory Rate
In short, the way it works:
- Subject stands in front of the device and a scan is taken, including a photograph and thermal image
- Data is transmitted from the device to the cloud
- Facial recognition algorithm runs in the cloud
- Results are posted to Integromat via a webhook
- Integromat writes the results to a GSheet, decodes the images (Base64) and stores them in GDrive
All data is then made available via a Glide app. Individuals can view a history of their own results, and managers can view and run consolidated reports. I also implemented a “crowd sourcing” methodology for facial recognition tagging of users. Users are presented with “unidentified” scans and given the opportunity to tag them if they recognise the user. Tagging results are posted back to the cloud system via an API and used to improve the facial recognition model.