In order to ensure that Find My Kids' face recognition feature works optimally, special attention needs to be paid to the following key points:
Quality of training data
- Each child should be provided with 5-10 photographs of different lighting, angles ofHigh Definition Frontal PhotoAvoid blurring or obscuring the image
- Suggests that photos contain multiple states ranging from smiles to neutral expressions to improve model generalization
- Photographs of different children should be kept strictly in separate named folders
System Configuration Requirements
- Deployment equipment should have2GB or more of available memoryto ensure that the DeepFace algorithm runs
- Internet connection needs to be stable to ensure continuous access to WhatsApp Green API services
- Regularly check the resource usage of docker containers to avoid memory leaks
Privacy and Compliance
- All training images should be stored on a local server, theDo not upload to public cloud services
- Compliance with local laws and regulations on biometric data collection (e.g. EU GDPR)
- It is recommended to disable the group's history message synchronization feature to prevent duplicate recognition of old photos
When the recognition rate decreases, the training samples should be replenished and the model should be retrained in a timely manner, while noting that DeepFace's recognition of Asian faces may require more sample data.
This answer comes from the articleFind My Kids: child safety monitoring tool through facial recognition and WhatsApp notificationsThe
May not be reproduced without permission:AI productivity tools " What are the key things to keep in mind when using Find My Kids for facial recognition?
