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.

Intel DevCloud for the Edge hands-on workshop contents (Japanese, 日本語版)

Hands-on workshop contents to learn about Intel DevCloud for the Edge

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.

vector-add scripts using oneAPI and targeting FPGA devices. Verifications made on Intel's devcloud.

Research work in code optimization and algorithm parallelization with openMP and SYCL

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

Submission for udacity solution to smart queuing system on dev cloud