Government and public sector

The problem: After an incident, investigators need to find one person in hours of video.
With DARA: Search by clothing color, bags and carried objects, across cameras and time.
The result: Matches by camera and time, opened in context. No facial recognition.

Suggested sensors

Data centers

The problem: After a door alarm or a tailgate, you need to know where the person went and which racks they reached.
With DARA: Search every camera on campus by what the person wore or carried. RackGuard shows who opened each rack.
The result: Their route, camera by camera, in time order, from the door to the rack.

Suggested sensors

Large enterprises and construction

The problem: Large campuses have many cameras and entrances, and a manual search takes hours.
With DARA: Describe what the person wore or carried, and search every camera at once.
The result: Results ranked by camera and time, without hours of manual review.

Suggested sensors

Sectors

People and object search