RealSense™

Natural interaction, immersive, collaboration, gaming and learning, 3D scanning. Integrate tracking, facial analysis, speech recognition, augmented reality, and more into your apps.

Solar Flares Prediction / Unsupervised Learning

URL: https://github.com/SHIVAANISREE/SolarFlares

Description:

Predicting solar flares is of critical importance for mitigating the potential adverse effects of these intense bursts of radiation on power grids, GPS systems, and the safety of individuals in space. Intel OneAPI is powerful tools can play a pivotal role in building solar flares prediction systems.

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Prediction & Detection of Human Fertility

URL: https://github.com/DharaniDharan0109/Hack2skill-Intel-OneAPI-Hackathon-AI-Analytics-toolkits-Human-fertility

Description:

Firstly, it is a multi-modal dataset containing different data sources such as videos, biological analysis data, and participant data. Secondly, it is the first dataset of that kind in the field of human reproduction. It consists of anonymized data from 85 different participants.

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RealsenseID Pam Face Authentication

URL: https://github.com/cabelo/pam-realsenseid

Description:

The su/sudo command in the operating system has the function of scaling administration privileges to the user. In this project, we will see how to increase security by including Realsense ID Facial Biometrics technology together with the password, thus creating an additional layer of authentication

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Intel Movidius Neural Compute Stick(NCS) with Raspberry Pi-3 for Image Classification

URL: https://github.com/akhilaku/Image-Classifier-using-Intel-Movidius-NCS-

Description:

For developing Deep Learning(DL) interference applications at the edge, we can use Intel's energy-efficient and low-cost Movidius USB stick. In this project we are going to use Intel Movidius Neural Compute USB stick with Raspberry Pi-3 for image classification application.

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Image recognition using Deep learning with Intel

URL: https://github.com/akhilaku/Image-recognition-by-Deep-Learning-using-MATLAB-softwares

Description:

We know that an effective accurate Deep Learning framework can be only done with advanced processors. When a deep learning framework is done with a very high-level programming language like MATLAB it becomes more complicated, still it can be done efficiently by any type of processors.

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