High-performance, optimized pre-trained template AI application pipelines for systems using Hailo devices
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Updated
May 20, 2024 - C++
High-performance, optimized pre-trained template AI application pipelines for systems using Hailo devices
Create a smart video application using the Intel Distribution of OpenVINO toolkit. The toolkit uses models and inference to run single-class object detection.
Receive or post information on available parking spaces by tracking how many vehicles enter and exit a parking lot.
workbench for learing&practising AI tech in real scenario on Android device, powered by GGML(Georgi Gerganov Machine Learning) and NCNN(Tencent NCNN) and FFmpeg
An open source light-weight and high performance inference framework for Hailo devices
Detect various irregularities of a product as it moves along a conveyor belt.
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.
Monitor a machine operator and detect the emotional state of an operator. Send an alert if the operator is distracted or angry.
Determine the demographics of an audience using the Intel® Distribution of OpenVINO™ toolkit, and then adjust the ads to match the audience.
Build a solution to analyze customer expressions and reactions to product advertising collateral that is positioned on retail shelves.
Observe workers as they pass in front of a camera to determine if they have adequate safety protection.
Build an application that alerts you when someone enters a restricted area. Learn how to use models for multiclass object detection.
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.
Secure work areas and send alerts if someone enters the restricted space.
Detect the mood of shoppers as they look at a retail or kiosk display.
esp32-cam face recognition with MQTT and esp-who framework
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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