1 topic, 2 key figures, 3 startups to draw inspiration from
- Physiological solutions: morphological (face, fingerprint, hand, iris, etc.) and biological (DNA, blood, saliva, urine, etc.)
- Behavioral solutions: voice recognition, signature dynamics, gestures, etc.
- Increasing security concerns – the market is led by increased activity to combat crime and terrorism. In a context where China is massively investing in surveillance, Beijing-based startup Xloong has developed a pair of AR sunglasses to help the police identify and catch suspects. While two-factor and three-factor authentication was driven by the growing need for privacy and security, facial recognition technologies address this need while providing simplicity of connection.
- Ever-expanding uses cases – in recent years, the technology has expanded to new use cases that go beyond identification and authentication. One example is facial analysis, which healthcare professionals can use to measure pain and dysfunction or which retail companies can use to analyse customer emotion and product performance. It goes without saying that another application that has gained prominent adoption is in smartphones.
- The launch of Biometrics-as-a-Service (BaaS) – now small and medium-sized companies can deploy biometric technologies rapidly through APIs, for instance with Florida-based startup Kairos’ one.
- The technology’s maturity which is driven by its numerous applications
- Advancements in the algorithms – while traditional facial recognition systems had their loopholes (e.g. using a printed picture), today’s advanced recognition systems – powered by deep learning – deliver far superior accuracy. According to a recent NIST test, only 0.2% of searches (in a data base of 26.6 million) failed to match the correct image, compared with a 4% failure rate in 2014. This is a 20x improvement.
- Low cost of edge AI processors – the overall cost of implementing embedded processors are driving down. San Diego-based startup Kneron (backed by Sequoia, Alibaba and many more) announced early September the launch of its new AI chip, whose power and cost outperforms those of Intel and Google.
2 Key Figures
3 startups to draw inspiration from
This week, we identified three startups that we can draw inspiration from: Onfido, Kairos and Anyvision.
Onfido uses AI and facial biometrics to ensure that IDs are genuine and match with users presenting them. This enables their customers to onboard users remotely while reducing risk.
Kairos enables developers and businesses to easily build face recognition into their software products using their API.