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Recommended: Excellent JS open source face detection and recognition project

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Release: 2024-04-03 11:55:09
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Face detection and recognition technology is already a relatively mature and widely used technology. Currently, the most widely used Internet application language is JS. Implementing face detection and recognition on the Web front-end has advantages and disadvantages compared to back-end face recognition. Advantages include reducing network interaction and real-time recognition, which greatly shortens user waiting time and improves user experience; disadvantages include: being limited by model size, the accuracy is also limited.

Recommended: Excellent JS open source face detection and recognition project

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. At the same time, you also need to master relevant 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

Recommended: Excellent JS open source face detection and recognition project

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.

Main functions include:

(1) Face recognition

Recommended: Excellent JS open source face detection and recognition project

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

Recommended: Excellent JS open source face detection and recognition project

(3) Expression recognition

Recommended: Excellent JS open source face detection and recognition project

(4) Gender and age prediction

Recommended: Excellent JS open source face detection and recognition project

According to official statistics, the average age error tested by Face-API in various face databases is: 4.54; the overall gender accuracy rate is: 95%.

2.Face Recognition.js

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

Recommended: Excellent JS open source face detection and recognition project

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

  • Face detection
  • Face recognition
  • Feature point recognition (5, 68)

3.FaceID.js

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

Recommended: Excellent JS open source face detection and recognition project

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

Local operation is very simple, no NPM is required, just get the source code and use the browser to open index.html.

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source:51cto.com
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