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
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Updated
Jun 5, 2024 - C++
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
Create a smart video application using the Intel Distribution of OpenVINO toolkit. The toolkit uses models and inference to run single-class object detection.
High-performance, optimized pre-trained template AI application pipelines for systems using Hailo devices
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.
An open source light-weight and high performance inference framework for Hailo devices
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.
esp32-cam face recognition with MQTT and esp-who framework
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.
Determine the demographics of an audience using the Intel® Distribution of OpenVINO™ toolkit, and then adjust the ads to match the audience.
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.
Monitor a machine operator and detect the emotional state of an operator. Send an alert if the operator is distracted or angry.
Secure work areas and send alerts if someone enters the restricted space.
Deploy deep neural network models on esp32 SOC.
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