Core Technical Architecture of Find My Kids
Find My Kids is a professional child safety monitoring solution whose core technology uses the DeepFace face recognition algorithm developed by Facebook. This deep learning technology is capable of recognizing faces with an accuracy of 99.63%, far better than most open source recognition frameworks. Project developer Tomer Klein encapsulated this technology through Python, making it possible to analyze image data from WhatsApp groups in real time.
The system operation process consists of three key steps: firstly, obtaining real-time images from the group via WhatsApp Green API; then using DeepFace to extract facial feature vectors to match with a pre-defined database of children's images; and finally, sending notifications of matching results to parents via the same API interface. The entire recognition process runs in a Docker container, ensuring the isolation and stability of the processing environment.
Notably, the program creatively combines two key technologies: top-notch face recognition algorithms and the notification mechanism of an instant messaging platform. This combination allows parents to break through spatial constraints and receive updates on their child's safety status anywhere there is an internet connection.
This answer comes from the articleFind My Kids: child safety monitoring tool through facial recognition and WhatsApp notificationsThe
