Official repository for the paper "Deploying a smart queuing system on edge with Intel OpenVINO toolkit" [Springer-2021]
-
Updated
Sep 22, 2020 - Jupyter Notebook
Official repository for the paper "Deploying a smart queuing system on edge with Intel OpenVINO toolkit" [Springer-2021]
Leverage the Intel® Distribution of OpenVINO™ Toolkit to fast-track development of high-performance computer vision and deep learning inference applications, and run pre-trained deep learning models for computer vision on-premise.
Hands-on workshop contents to learn about Intel DevCloud for the Edge
Intel DevCloud for the Edge hands-on workshop contents (Japanese, 日本語版)
This project demonstrates how to detect people in queues (in order to redirect them to shortest queue) using inference on pre-trained neural network with Intel OpenVINO framework.
Research work in code optimization and algorithm parallelization with openMP and SYCL
vector-add scripts using oneAPI and targeting FPGA devices. Verifications made on Intel's devcloud.
Deploying a Smart Queuing System on edge with Intel OpenVino Toolkit project from Intel® Edge AI for IoT Developers Nanodegree Program
It is Python3 app, made with the use of Intel OpenVino and Intel DevCloud. It aims at developing a system which alerts when the number of people in the given queue exceeds a designed value
Add a description, image, and links to the intel-devcloud topic page so that developers can more easily learn about it.
To associate your repository with the intel-devcloud topic, visit your repo's landing page and select "manage topics."