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As biometric technology continues to develop faster and faster, promising safety and security to customers, so has facial recognition or face ID. Facial recognition is already a huge part of our lives, from our smartphones, the security cameras installed throughout our environment and face scans at airport security checkups. Most face recognition technologies nowadays are based on spotting facial differences and the extraction of identifiable features to detect target personnel, finding patterns that are unique to each individual.
In order to identify a person you must know what they look like, and face ID technology works the same way. By providing established images to the system it will be able to detect persons of interest in raw footage and trace their likeness to images stored in its database, matching between them. These programs are connected to security cameras, enabling another layer to the camera, turning them into smart cameras capable of incident prevention, emergency response, and overall efficiency improvements.
The Covid-19 epidemic has shown us that facial recognition can be a lot more complex than we think. The wide use of facial masks shattered previous assumptions in face ID research, forcing developers to adapt to a new landscape.
In order to be able to detect targets even in poor conditions such as low light – dark scenarios or a lot of back light behind the face of the person of interest. Another challenge are the different camera angles – systems need the ability to recognize faces which are in a 45 degrees angle to the cameras, low quality footage and more. The system must be developed to be incredibly accurate, or at least include accurate detection options for the consumer – and that is no small feat. Another major challenge in this field is the racial bias, facial recognition systems should strive to have the same recognition capabilities across all races and ethnicities.
Facial recognition systems should be in line with the strict privacy and ethics standards (e.g. Article 25), minimizing the data kept on irrelevant people passing in front of the cameras, minimizing the data longevity and minimizing the access of the operators only to the relevant data for his work.
To truly secure our infrastructure and minimize crime, facial recognition technology must include highly sophisticated AI that is capable of detecting targets accurately and alert relevant personnel when it detects the presence of an unauthorized visitor.
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