A computer vision and machine learning pipeline on a distributed framework. Designed for an embedded network on low voltage IoT hardware.
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Updated
Sep 2, 2024 - Python
A computer vision and machine learning pipeline on a distributed framework. Designed for an embedded network on low voltage IoT hardware.
The official repository of the paper Efficient People Counting in Thermal Images: The Benchmark of Resource-Constrained Hardware
Licence plate recognition problem.
Keras to Tensorflow test for Neural Compute Stick 2
Sample application emotion recognition using OpenVINO
Describing How to Use Throughput Mode to Run Inference Effectively on Multiple NCS2 Devices with Intel (r) OpenVINO toolkit
Getting started with NCS2 stick using Raspberry Pi
Intel NCS2 device plugin for Kubernetes
Prometheus Exporter for Intel NCS2 Metrics
Tensorflow based Fast Pose estimation. OpenVINO, Tensorflow Lite, NCS, NCS2 + Python.
The main focus area of this project is to propose a possible hardware solution for each scenario. Build out the application and test its performance on the DevCloud using multiple hardware types. Compare the performance to see which hardware performed best.
Tutorial and platform to train customized MobileNet-SSD with Tensorflow, and inference on ROS & NCS2. Step-by-step Instruction is included!
AI technology can now be used on low-cost, low-powered edge computing devices such as the new Raspberry Pi 4
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