Facial recognition is up to 30% more accurate now than in 2010, research suggests
The efficiency and accuracy of facial recognition algorithms has increased by up to 30 percent compared to 2010, research data published in a recent NIST report suggests.
The report called “Performance of Face Identification Algorithms” features results from algorithms submitted by 16 organizations. Performance was defined by recognition accuracy, as well as the time the algorithms took to match one photo against massive photo data sets.
The database of images employed during the research included 1.6 million faces. Some were ANSI/NIST ITL 1-2011 Type 10 standard, others were ISO/IEC standard and 140,000 of them were images taken on webcams in uncontrolled environments.
The tests performed best on the high-quality ISO standardized images, and no algorithms worked well with the webcam images.
Beside the serious boost in algorithm accuracy, one of the most surprising research results was the fact that images of older individuals were identified more accurately than those of younger persons, suggesting that we become steadily easier to recognize using facial recognition software, and more distinguishable from our contemporaries, as we age.
Tensor has an extensive experience in installing CCTV systems and commissioning comprehensive video management solutions for large multi-site facilities. Our expertise and technical know-how enables us to easily integrate video surveillance into other security systems including ANPR (Automatic Number Plate Recognition), Access Control and Facial Recognition to name a few, in order to enhance and improve the security and efficiency at your site.
Tensor face biometrics are used to identify users from access control lists and verify their identity. Our access control solution facilitates user management at runtime and allows users to be enrolled on-the-fly by video capture.
This technology yields excellent performance despite partial occlusions of the face, the use of glasses, scarves or caps, changes of facial expression, and moderate rotations of the face. Moreover, it does not allow users to be impersonated using photographs. Tensor biometric technology is the perfect solution to control the access of personnel to restricted security areas.
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