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Recommended: Excellent JS open source face detection and recognition project

Face detection and recognition technology is already a relatively mature and widely used technology. Currently, the most widely used Internet application language is JS. Face detection and recognition on the Web front-end has advantages and disadvantages compared to back-end face recognition. The advantages include: reduced network interaction, real-time recognition, which greatly shortens user waiting time. Improved user experience; disadvantages are: limited by model size, its accuracy is also limited.

How to use js to implement face detection on the web?

In order to implement face recognition on the Web, you need to be familiar with related programming languages ​​and technologies, such as JavaScript, HTML, CSS, WebRTC, etc., and you also need to master related computer vision and artificial intelligence technologies. It is worth noting that since the computing resources and network environment of the Web are relatively limited, the algorithm may need to be optimized according to the application scenario to improve the speed and accuracy of face recognition.

This article recommends several best face detection and recognition projects based on js for learning and reference.

1.Face-API

https://github.com/justadudewhohacks/face-api.js

This is a powerful open source JavaScript face recognition library implemented on tensorflow.js, which can be used in browsers and Node.js environments. Uses the MIT open source license.

Key features include:

(1) Face recognition

(2) Feature point detection (68 facial landmark points)

(3) Expression recognition

(4) Gender and age prediction

According to official statistics, the average age error of Face-API in various face database tests is: 4.54; the overall gender accuracy is: 95%.

2.Face Recognition.js

https://github.com/justadudewhohacks/face-recognition.js

This is a JS library based on dlib that implements face detection and face recognition tools, providing reliable Node.js API for face detection and face recognition. Can run on Windows, macOS and Linux. Key features include:

  • Face Detection
  • face recognition
  • Feature point identification (5, 68)

3.FaceID.js

https://github.com/gusgad/faceID.js

faceID.js enables a web-based authentication system by associating facial features with users. Its core technology is face-api.js.

Running it locally is very simple and does not require NPM. You only need to obtain the source code and use the browser to open index.html.