Create a smart video application using the Intel Distribution of OpenVINO toolkit. The toolkit uses models and inference to run single-class object detection.
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Updated
Nov 29, 2022 - C++
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.
Use a visual heat or motion map to count the number of people that enter and exit a store, factory, or warehouse aisle.
Determine the demographics of an audience using the Intel® Distribution of OpenVINO™ toolkit, and then adjust the ads to match the audience.
Observe workers as they pass in front of a camera to determine if they have adequate safety protection.
Monitor three different streams of video that count people inside and outside of a facility. This application also counts product inventory.
Secure work areas and send alerts if someone enters the restricted space.
Monitor a machine operator and detect the emotional state of an operator. Send an alert if the operator is distracted or angry.
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.
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