Case Study: Vidigami streamlines photo search and tagging with Kairos Face Recognition

A Kairos Case Study

Preview of the Vidigami Case Study

Vidigami processes over 20 million face images a month with Kairos

Vidigami, a photo management tool for schools, faced the challenge of manually tagging millions of student photos, a process that was time-consuming and not scalable. They needed a commercial-grade face recognition solution to handle their high volume of images, which led them to partner with Kairos and implement the Kairos Face Recognition API.

Kairos provided a solution that automatically recognizes and tags students in photos, saving significant time and creating a scalable process. The implementation allows Vidigami to process over 20 million face images each month, radically improving photo discoverability and providing a simplified user experience for their school customers.


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