Member Discussion
Facial Recognition Test Results Shared
Take a look at Cognitec FaceVACS-VideoScan and Artec ID Broadway 3D.
The former we have performed some extensive tests regarding facial recognition. The results showed a satisfactory facial recognition of approximately 60%. That is, in 6 out of 10 attempts subjects of interest were recognized. It is important here to mention that many factors can influence the facial recognition rate, such as lighting conditions, subjects that do not look at the camera straight on, amongst others. With regard to assistance, it is worth mentioning here that Cognitec staff members were very helpful by providing us with tips about how to tune up our configuration.
In its turn, we have not evaluated the latter, but we have seen it in action. It looked very impressive, specially when (unsuccessfully) trying to fool the system, for instance, by holding up a picture or wearing dark sunglasses. They also claim to be able to recognize one person per second, or 60 faces per minute. However, we cannot confirm this claim because we have not tested it.
NOTICE: This comment was moved from an existing discussion: Questions On The Video Analytics Industry
Tiago, thanks for sharing. A few questions:
- How many people/subjects were on the watchlist? I have found that larger watchlists results in much lower accuracy simply because the more people you are comparing against, the more likely subjects will look similar.
- How often did you get false positives? i.e., john doe walks past the system but it matches him to bob smith
- Any details on the setup? camera type? mounting height? angle? etc.
Tiago,
It seems to me you are not giving Face Recognition in general a fair test, I agree with John, the camera type, mounting height, angle, light etc makes a big difference in the ability of a computer to identify the face in the picture.
We have been working with and testing most face recognition algorithms available in the market and when provided with the correct conditions we get better results then 99.7% accuracy of recognition even with very large data bases of enrolled people.
In any case when dealing in biometrics, a discussion on false reject has no substance without the false except information.
Only the two of them together make any sense.
"That is, in 6 out of 10 attempts subjects of interest were recognized."
Does that mean the subjects were recognized individually or just being recognized as a face?
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