Hayden Ai Technologies, Inc.

Hayden Al Technologies, Inc.

Michael Gleeson-May

Vaibhav Ghadiok

Morgan Kohler

Shaocheng Wang

Maciej Budys

Wiktor Muron

Marcin Grzesiak

Andrei Liaukovich

Disclosed herein are methods and systems for automatically validating evidence of traffic violations. One instance of a method comprises receiving an evidence package comprising video frames showing a vehicle involved in a potential traffic violation. The video frames can be input into one or more deep learning models to obtain a plurality of classification results. The method can further comprise generating a score based in part on the classification results and evaluating the score against one or more thresholds to determine whether the evidence package is automatically approved, is automatically rejected, or requires further review.

System and methods for automatically validating evidence of traffic violations using automatically detected context features

Growing community of inventors

Oakland, CA, United States of America

Michael Gleeson-May