Repositories (32)
Linux Library for low speed IO Communication in C with bindings for C++, Python, Node.js & Java. Supports generic io platforms, as well as Intel Edison, Intel Joule, Raspberry Pi and many more.
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.
Create a smart video application using the Intel Distribution of OpenVINO toolkit. The toolkit uses models and inference to run single-class object detection.
Observe workers as they pass in front of a camera to determine if they have adequate safety protection.
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.
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.
Monitor three different streams of video that count people inside and outside of a facility. This application also counts product inventory.
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.
Receive or post information on available parking spaces by tracking how many vehicles enter and exit a parking lot.
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.
Use a visual heat or motion map to count the number of people that enter and exit a store, factory, or warehouse aisle.
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 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.
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.
Determine the demographics of an audience using the Intel® Distribution of OpenVINO™ toolkit, and then adjust the ads to match the audience.
Detect the mood of shoppers as they look at a retail or kiosk display.
Segment brain tumors in raw MRI images by applying the U-Net architecture.
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.
Secure work areas and send alerts if someone enters the restricted space.
Implement and use Intel® hardware platforms for video decoding, encoding, and optimization using various media stacks.
Monitor a machine operator and detect the emotional state of an operator. Send an alert if the operator is distracted or angry.