Challenges Faced in Developing Facial Recognition Technology
As per Markets & Markets report, the facial recognition market is expected to grow at a CAGR of 16.6% from $ 3.2 billion to $ 7 billion in 2024.
AI-based facial recognition technology is one of the most intriguing and fascinating technologies and has seen a significant improvement in accuracy over the years. With millions of faces moving around, it becomes impossible for human to relate the face and recognise the face of person of interest. And, this is where face recognition technology comes into picture. It taps into deep learning algorithms to provide facial mapping and biometric authentication. It doesn’t only provide real-time authentication but also optimize the business operations by providing user-friendly security solutions.
Some of the applications of AI-based facial recognition include security & surveillance, retail analytics, access control, digital healthcare, transportation, etc. While having variety of applications, this cutting-edge technology is also riddled with some of the challenges like occlusion, pose, illumination, expression, model complexity, etc.
This webinar talks about various challenges associated with face recognition technology and how we can address those challenges with PathPartner face recognition solution.
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