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Real-time pose estimation accelerated with NVIDIA TensorRT

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

Use computer vision inference in the Intel® Distribution of OpenVINO™ toolkit to provide analytics on customer engagement, store traffic, and shelf inventory.

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

Natural language for repeating dates

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.

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

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

Predict performance issues with manufacturing equipment motors. Perform local or cloud analytics of the issues found, and then display the data on a user interface to determine when failures might arise.

Monitor mechanical bolts as they move down a conveyor belt. When a bolt of an irregular size is detected, this solution emits an alert.

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

Run multiple independent anomaly detection (object flaws and motor defects) workloads on a single system via multiple virtual machines using a Kernel-based Virtual Machine (KVM) host.

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

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

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

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

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

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.

Build a solution that recognizes people within a specific area and measures the distance between them. Get an alert if the distance is less than a specified amount.

Elara enables creating a Windows/MacOS like window manager experience inside a web browser. This JavaScript library is written with performances and compatibility in mind. No third-party libraries or frameworks are needed to use Elara. Open the live demo to try it yourself.

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

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

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

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

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