Google AI MediaPipe

MediaPipe is an open source cross-platform machine learning framework from Google. With a simple API, it enables developers to easily build complex machine learning models and applications on a variety of devices (e.g., phones, tablets, browsers, IoT devices).
Core strengths:

Multi-language support: support for Python, C++, JavaScript and other programming languages.
Pre-training models: Built-in face recognition, gesture recognition, target tracking and other rich pre-training models, easy for developers to quickly integrate.
Model Optimization: Through model compression and quantization techniques, the model size can be significantly reduced up to 10 times or more, which is very suitable for mobile deployment.

Positioning:
MediaPipe is an efficient and easy-to-use machine learning development framework, especially suitable for deploying machine learning models on mobile and embedded devices, and developing intelligent interaction applications such as face recognition and gesture control.
Example application scenarios:

Conference Check-in App: Using MediaPipe's Face Recognition API, develop an app that can automatically recognize attendees and complete check-in.
Smart Home Control: Based on MediaPipe's gesture recognition API, it realizes intuitive gesture control of smart home devices.
Web real-time face detection and tracking: Realize the real-time face detection and tracking function in web applications with MediaPipe.

Product Highlights Summary:

Cross-platform compatibility
Rich library of pre-trained models
Efficient model compression and quantization techniques
Wide range of equipment support