A Look at 9 Free and Open-source Face Detection and Recognition Libraries
In this comprehensive blog post, we will be diving deep into the enthralling and rapidly evolving world of face detection and recognition libraries. These advanced and powerful tools are revolutionizing the way we interact with our digital surroundings. By offering more secure means of authentication, they significantly improve the security and privacy of users.
Additionally, these open-source facilitate the creation of personalized experiences that cater to the unique preferences and needs of each individual user. Their applications extend across a wide range of industries, driving innovation and pushing the boundaries of what's possible in the digital realm. We invite you to join us on this journey of discovery where we will be highlighting some of the best, most efficient, and highly reliable libraries that are currently available in this fascinating field.
1. Face-API.js
This is an impressive open-source JavaScript face recognition API library for the browser and Node.js. It is expertly implemented on top of the powerful tensorflow.js core and proudly licensed under the widely acclaimed MIT license.
justadudewhohacks2. Face Recognition.js
This is a powerful Node.js API that provides reliable face detection and face recognition. It serves as a wrapper library for the face detection and face recognition tools implemented in dlib.
It works seamlessly on Windows, macOS, and Linux.
justadudewhohacks3. RetinaFace
RetinaFace is a powerful facial detector for Python that uses deep learning and facial landmarks. It has impressive detection performance, even in crowded environments. RetinaFace is part of the insightface project and has both mxnet and tensorflow implementations available.
serengil4. Pigo
Pigo is a fast and efficient open-source face detection library written in Go. It does not require any external dependencies, has high processing speed, and does not need image preprocessing or complex data structures. It can detect faces with eyeglasses and handle in-plane rotated faces.
esimov5. OpenFace
OpenFace is an open-source free face recognition system using deep neural networks, which received support from various organizations including the National Science Foundation (NSF), Intel Corporation, Google, Vodafone, NVIDIA, and the Conklin Kistler family fund.
The opinions, findings, conclusions, or recommendations expressed in this material are those of the authors and should not be attributed to their employers or funding sources.
cmusatyalab6. DeepCamera
DeepCamera enhances traditional surveillance cameras and CCTV/ NVR with machine learning capabilities, offering facial recognition-based intrusion detection, fall detection, and parking lot monitoring. SharpAI-hub provides cloud hosting for AI applications, enabling the deployment of AI applications with CCTV cameras on edge devices quickly.
SharpAI7. faceRecognition
The experiment involves using a neural network for face recognition in JavaScript, creating image data with a webcam. The model is trained to recognize the user, with potential future applications including recognizing hand gestures to perform actions like playing a song or scrolling a page.
Improvements to the multilayer perceptron (MLP) code are anticipated for increased robustness.
victorqribeiro8. faceID.js
The AI-powered faceID.js enhances web-based authentication systems by associating facial descriptors with usernames, demonstrated through a user registration process and login via facial recognition on a webapp.
gusgad9. Face Detection In Python Using OpenCV
OpenCV is an open-source software library offering over 2500 algorithms for computer vision and machine learning applications, including face detection and object recognition.
It supports multiple programming languages and operating systems. Despite the challenges in face detection due to image appearance variations, it remains an active area of research for better and quicker implementation.
This is a Face Detection open-source project that uses Python and OpenCV library. It comes with detailed documentation and two rich pre-trained classifiers.
informramiz
