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Enter FaceSense, our in-house face recognition solution that recognizes customers at different stages of the insurance lifecycle. An ML powered face authentication solution, it runs on a convolutional Neural Network that identifies and authenticates customers through real-time verification that retrieves the KYC document on file and matches it with the live photo.

Key Highlights:

Developed in-house using computer vision and deep learning algorithms, FaceSense runs on a Convolutional Neural Network. Tested on 1,00,000+ test cases with a 92% accuracy and 100% precision.

Involves image processing-based pre-processing, Video Analytics-based liveliness detection and Convolutional Neural Network (CNN) based Face Recognition.

Available on multiple channels (Mobile, web, cloud, license, etc.) to allow verification by agents via desktop and mobile phone

Can be scaled up to handle ~1000 concurrent requests in near real time.

Significant error reduction and processing time and an enhanced customer experience.

FaceSense is a game changer as it allows for instant customer verification and data retrieval. It has many other uses as well: ideal for employee attendance marking, cardless ATM transactions as well as pre-populating online forms through face recognition. We are the first insurance company to verify survival status of annuitants through video. FaceSense now can also be deployed across different verticals like branch, new business login and pre-conversion verification. It can also be used to handle impersonation and fraud.