Diagnose diseases and improve medical treatment.Prevent retail crime and make shopping more effective.Key features of Facial Recognition Technology Recognition- this helps to confirm identity of the person in the photo and helps in correct verification.Analysis- the face is mapped by measuring the distance between eyes, nose, and mouth and shape of the chin.Detection- the camera detects, locates a face, and draws a box around it to autofocus.According to the latest analysis by Emergen Research, the global facial recognition market size is expected to reach USD 13.87 billion in 2028 and is expected to register a CAGR of 15.7% during the forecast period. Moreover, factors such as rising number of research and development activities and increasing investments by key players to develop advanced products are expected to fuel market revenue growth in the coming years.

In addition, increasing funding by government and defense sector to support facial recognition technologies, increasing adoption of facial recognition systems for immigration at airports and to track and monitor attendance, rising adoption of video surveillance to monitor criminal activities are also supporting growth of the global facial recognition market. Rapid advancements in biometric technology and adoption of cloud-based systems are key factors boosting global market revenue growth. These systems are preferred over other biometric applications such as voice recognition, fingerprint scanning, or iris recognition due to easy deployment and non-contact process. Technological developments in machine learning and artificial intelligence have brought an active expansion of facial recognition systems.

Law enforcement agencies have been using face recognition more often to identify the thieves or suspects captured through CCTV, social media, traffic cameras among others. Facial recognition systems are in high demand owing to the increasing concerns about security and rising number of threats. These systems are deployed to identify people in videos, photos, or in real-time and are widely used in various sectors such as law enforcement, retail and e-commerce, BSFI, automotive, healthcare and medical sector, media, and entertainment. It uses machine learning algorithms to search, capture, and analyze facial contours and match it with the pre-existing database. Facial recognition is a biometric software application that is capable of verifying or identifying a person by its facial features against a database of faces and is typically used to authenticate users through ID verification services.

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