SkyBiometry, a Lithuania-based tech company and subsidiary of Neurotechnology, has updated its face detection and recognition algorithm. While the previous version of the software was able to determine features like gender, age, emotions, and others, now the algorithm can tell if someone is wearing a hat, has facial hair, as well as what their race or ethnicity is, according to a press release from SkyBiometry.
The software can be used for the following purposes:
- Classify photos for large photo databases
- Time and attendance
- User authentication
- Interactive advertisements or applications
- Moderate pictures on dating sites, social media.
With the update came an improvement of estimations overall, as it ranked among the six most accurate facial recognition algorithms compared to 40 different vendors. Dr. Justas Kranauskas, head of biometric research at SkyBiometry, said,
“More accurate face detection and face recognition algorithms continue to make our service unique, and the additional attributes will help our customers expand the scope of their SkyBiometry API applications.”
The new facial recognition software can be accessed for free and includes 5,000 monthly requests and a database of up to 1,000 trained faces on the SkyBiometry website.
Facial Recognition’s Uses in the Public Sector
As large tech companies have started to manufacture more affordable facial recognition software, it’s being used increasingly in the public sector. After a public high school in New York began to test facial recognition software for attendance use, the New York State Department of Education banned the usage or testing of facial recognition technology, citing student privacy concerns. However, it’s not clear how the footage was stored, and if the biometric data was stored separated from identifiers like names. As the technology behind facial recognition advances, companies, nonprofits, and the public sector, the law must catch up as well.