AI Incident Investigation

Identify AI needed a platform that could process hours of incident footage and surface what investigators actually look for: weapons, persons of interest, and key moments — without shipping evidence to a third-party cloud.

Accuracy expectations were forensic-grade, and the deployment had to satisfy law-enforcement security requirements, which ruled out most off-the-shelf AI APIs.

We built the inference pipeline around self-hosted detection models — object detection, weapon classification, and face detection with enhancement — so footage never leaves the controlled environment.

Footage processing was made resumable and queue-based, so a crashed job on hour three of a six-hour video picks up where it stopped instead of starting over.

The review interface presents detections as a timeline investigators can scrub, confirm, and export into case documentation.

Investigators review hours of footage in minutes by jumping straight to flagged segments.

The platform runs in security-controlled environments with no external AI API dependencies.