sertiscorp/oneML-bootcamp

Intro and sample apps to showcase oneML functionalities and possible use cases: Face Detection, Face Identification, Face Embedding, Vehicle Detection, EKYC, Person Attack Detection.

27
/ 100
Experimental

This project provides ready-to-use AI models for tasks like identifying faces, verifying identities, and detecting vehicles in images or video feeds. It takes visual inputs and outputs classifications, bounding boxes, and identification scores. Security professionals, banking and finance officers, and surveillance system operators can use this to automate monitoring and verification.

No commits in the last 6 months.

Use this if you need to quickly integrate pre-built face or vehicle recognition capabilities into your systems for security, identity verification, or object tracking.

Not ideal if you need highly specialized AI models for unique object recognition tasks beyond faces and vehicles, or if you prefer to build models from scratch.

facial-recognition identity-verification vehicle-detection security-systems surveillance-automation
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 6 / 25

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Stars

13

Forks

1

Language

Java

License

MIT

Last pushed

May 16, 2023

Commits (30d)

0

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