Choosing the right biometric security solution has become a major decision for businesses, across industries. Yet, with increasing accuracy rates, ease of implementation, and widespread adoption-- face recognition is rapidly becoming the go-to choice for the modern enterprise.
Innovations such as fingerprint sensors and iris scanner are now being widely used. However, experts predict that facial recognition will soon rule the biometric security market, offering another level of data security.
Face recognition goes mainstream
Based on the recent Markets And Markets research centered on the facial recognition market, it’s set to be worth $6.84 billion by 2021 compared to the $3.35 billion in 2016. The report also cited the top drivers in the market:
- Growing video analytics industry
- Increasing public sector deployment
- Rising applications in diverse industry sectors
And for those who don’t follow industry analysis-- ‘everyday consumers’-- benefits of face recognition are becoming a reality in daily life too. Most notably the announcement of Apple’s FaceID (a upgrade from the widely accepted TouchID) in the new iPhone X smartphone. An event we believe was the tipping point for facial biometrics acceptance in the public eye.
The industry growth will further compound; a 2017 report by venture capital firm LDV, shows by 2022, there will be 45 billion cameras in the world capturing visual data to be analyzed by artificial intelligence. Those cameras will all be strategically placed to ensure that we continue to evolve into a fully integrated, hyper efficient, customer centric market — revolving around convenience and speed.
- Biometrics Institute, 2017
Use cases that demand better security
Facial recognition is no longer only an application for high-risk locations, such as airports, nuclear power plants and government buildings. A growing number of businesses realize that the ability to identify and recognize specific individuals can help to improve customer service and to serve as a proactive way of protecting their assets. Meanwhile, a broad range of high-resolution network and embedded cameras in combination with the development of commercial AI systems allows for a full replacement of traditional security measures, serving many use cases:
- Online & Mobile Identity Verification
- Compare Photo ID to Selfie
- Fraud detection/anti-spoofing with facial liveness features
- Frictionless authentication with face recognition AI
- Threat and intrusion detection
- Perimeter and asset monitoring
- Known individual detection
Looking beyond face recognition, to human analytics
People are the fundamental interface of all businesses. If a camera can know who a person is and how they feel, incredible insights can be unlocked. Sometimes just recognizing faces and people is not enough. The next phase of this technology is to provide demographic and emotion analysis on faces found in images and video-- in turn, offering a more complete view of how people interact with the world around them.
What we have created provides businesses the building blocks to add the benefits of face analysis to any product, app or service — affordably and easily. Kairos navigates the complexities of face analysis technology, so you don’t have to. We offer APIs and SDKs any developer can integrate with ease.
Face Recognition and the Future of Security