Create a smart video application using the Intel Distribution of OpenVINO toolkit. The toolkit uses models and inference to run single-class object detection.

Create a concurrent video analysis pipeline featuring multistream face and human pose detection, vehicle attribute detection, and the ability to encode multiple videos to local storage in a single stream.

Receive or post information on available parking spaces by tracking how many vehicles enter and exit a parking lot.

Detect various irregularities of a product as it moves along a conveyor belt.

Build an application that alerts you when someone enters a restricted area. Learn how to use models for multiclass object detection.

Build a solution to analyze customer expressions and reactions to product advertising collateral that is positioned on retail shelves.

Detect the mood of shoppers as they look at a retail or kiosk display.

Determine the demographics of an audience using the Intel® Distribution of OpenVINO™ toolkit, and then adjust the ads to match the audience.

Use a visual heat or motion map to count the number of people that enter and exit a store, factory, or warehouse aisle.

Monitor three different streams of video that count people inside and outside of a facility. This application also counts product inventory.

Observe workers as they pass in front of a camera to determine if they have adequate safety protection.

Monitor a machine operator and detect the emotional state of an operator. Send an alert if the operator is distracted or angry.

Secure work areas and send alerts if someone enters the restricted space.

Create a concurrent video analysis pipeline featuring multistream face and human pose detection, vehicle attribute detection, and the ability to encode multiple videos to local storage in a single stream.