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.

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.

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

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.

Simple python WebUI for fine-tuning ChatGPT (gpt-3.5-turbo)

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

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.

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

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

Detect loss at self-checkout by seamlessly connecting different sensor devices, including weight scale sensors, cameras, and RFIDs.

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

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.

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

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

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.