Feature Request: New Endpoint for recognise_face()

[Devasy23]

Feature Request: New Endpoint for recognise_face()

Description

We need a new endpoint, recognise_face(), that accepts a base64 string as input. This endpoint should convert the base64 string into embeddings using the same process as the create_new_faceEntry() endpoint.

Once the embeddings are calculated, the endpoint should run a vector search query on our MongoDB Atlas database. The search should use Euclidean distance as the similarity measure to find the most similar face in the database.

Expected Behavior

The endpoint should return the EmployeeCode and other associated information of the most similar face found in the database. If no similar face is found, the endpoint should return an appropriate error message.

Benefits

This feature will allow us to identify faces from images without having to manually compare the embeddings. This could be useful in a variety of scenarios, such as employee check-in/check-out, security checks, etc.

Tasks

• Implement the recognise_face() endpoint.
• Write tests for the new endpoint.
• Update the API documentation to include the new endpoint.

[sweep-ai]

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