Submission for udacity solution to smart queuing system on dev cloud

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

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

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.

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

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.

Official repository for the paper "Deploying a smart queuing system on edge with Intel OpenVINO toolkit" [Springer-2021]