IntelliVision facial recognition software searches an existing database of faces and compares them with the faces detected in the scene to find a match. Face Recognition detects faces in the camera's field of view - as many as 15 at the same time - and matches them against faces previously stored in the database. Anti-spoofing is provided through "liveness" testing without the need for a stereo or 3D camera.
Faces can be enrolled in the database from existing still images or from the video camera itself. Facial recognition is perfect for access control systems. Build into Smart Building security systems, turnstiles, gates, even vending machines, as well as Smart Home security and personalization applications. Trained on millions of images from across the world, faces from multiple ethnicities are easily detected. Faces can be enrolled from still images, live and pre-recorded video.
Confidence level can be adjusted up or down and face recognition improved with additional training. Using AI and deep learning, IntelliVision's face recognition has achieved accuracy benchmarks better than industry leaders like Google and Facebook. It scores the following accuracy in the leading public test databases — LFW: Recognition is available in both real-time and off-line modes and enrollment is available from both video and still images.
Windows Photo Gallery is a popular image organizer with facial recognition support. Using facial recognition is easier than all the other mentioned in the list. To get started with it, you have to include the folder where all of your photos reside.
Next step to do is Batch People Tag. This process may take a little time while it detects , recognize , and sort photos with faces, all at once. The results are most of the time satisfactory.
Once it is done processing, it gives all the suggestion for similar looking faces. You can start by naming a person and as soon as you do this, a profile will be created for that person. During my testing, it worked pretty okay, most of the time. Also, the interface is nice and found it easiest of all to use. I really like the face recognition feature of Windows Photo Gallery for its ease of use as well as its speed. Digikam is an open source photo manager that supports face recognition.
Digikam offers an easy to use work interface to manage a large collection of image files. However, it is not as accurate in face recognition as other software in this list. For this software to start facial recognition, you have to select People tab, on the left. After this, you have to scan collection for faces. You can simply choose to detect faces, detect and recognize faces, or just recognize faces. When you have identified a number of faces, it can also recognize the people shown on your photos.
I rate this software perfect for managing a collection of image files. For me, using facial recognition was not easy, and did not even work some times.
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Face Recognition System Matlab source code for face recognition. EigenFaces-based algorithm for face verification and recognition with a training stage. Matlab and Matlab Image Processing Toolbox are required. Version 2. Full Specifications. What's new in version 2. Release November 7, Date Added February 8,
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