Distance scale
URL: https://github.com/akhilsnair1047/Distance-scale
Description:
A system that can scale the distance of an object.
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Internet of Things
Jumpstart your prototyping without reinventing the wheel. The Intel® IoT Developer Program provides you with tools, templates, libraries, and more to accelerate IoT solution development.
Guidepod
URL: https://github.com/rajagopalanvg/AN-INTELLIGENT-AIDING-ROBOTIC-DEVICE.git
Description:
A smart AI based assisting device for visually impaired people with obstacle detection, SOS alert system, Navigation system, Image recognition system, bone conduction and tracking system. These features enable the disabled friendly people with their day to day activities and gives them independency.
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Turb'O'Skim
URL: https://github.com/rajagopalanvg/TURB-O-SKIM.git
Description:
An automated intelligent smart IoT based oil skimmer that is employed in places of oil spill, wherever separation based on differential liquid densities is needed. The product is designed taking input from various sensors and take decisions based on algorithm with help of GPS, WiFi, Robotics & cloud
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Deep Reinforcement Learning in STIOT
URL: https://github.com/yhaowang666/MEC-DQL.git
Description:
A policy based deep reinforcement learning algorithm for task offloading and resource allocation.
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NMS by DPC++
URL: https://github.com/intel-sandbox/ICE_dpcpp_sample/tree/master
Description:
Non-maximum supression is a algorithm for many detection/tracking use case. But for large data, NMS is time-consuming. So making this algorthm paralleled is necessary.
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OpenGesture
URL: https://github.com/AfricaMachineIntelligence/OpenGesture
Description:
Accelerating African Sign Language using OpenGesture
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Intel OpenVINO on Google Colab
URL: https://github.com/jojo96/intel-openvino-colab
Description:
The OpenVINO distribution from Intel makes AI inferencing fast and easy. This tutorial would teach you how to test the power of OpenVINO
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Using oneAPI, Intel NUC & NVIDIA Jetson Nano to detect Acute Lymphoblastic Leukemia
URL: https://github.com/AMLResearchProject/ALL-Jetson-Nano-Classifier
Description:
The Acute Lymphoblastic Leukemia Jetson Nano Classifier is a Convolutional Neural Network developed using Intel® oneAPI AI Analytics Toolkit & Intel® Optimization for Tensorflow* on an Intel® NUC NUC7i7BNH to accelerate training, and TensorRT for high performance inference on NVIDIA® Jetson Nano.
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GPS monitoring for emergency vehicles.
URL: https://drive.google.com/file/d/1u6LFxbndruqXECGVIgAz9O0Q0zYFz9WV/view?usp=sharing
Description:
GPS monitoring for emergency vehicles.
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Computer Pointer Controller OpenVINO
URL: https://github.com/Nitin-Mane/Computer-Pointer-Controller
Description:
the task is based on a gaze detection model to control the mouse pointer of the computer. The module state on the Intel model usage and will be applying the Gaze Estimation model to estimate the gaze of the user's eyes and change the mouse pointer position accordingly. This project will demonstrate
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Smart Queuing System DevCloud
URL: https://github.com/Nitin-Mane/Smart-Queuing-System
Description:
A smart IoT queue system for the retailer and transportation system on the edge device. The proposed project examines the job profile on the device as a video AI solution on the edge using Intel® hardware and software tools. The app detects people in a specified area and accordingly detects.
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Using Intel Technologies & Magic Leap 1 to detect Acute Lymphoblastic Leukemia (ALL) Lymphoblasts
URL: https://github.com/aiial/all-detection-system-for-magic-leap-1
Description:
Combines Magic Leap's Spacial Computing technologies with Intel's oneAPI, OpenVINO & Neural Compute Stick to provide real-time classification of Acute Lymphoblastic Leukemia Lymphoblasts in peripheral blood samples within a Mixed Reality environment.
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Fake-Face-Detector
URL: https://github.com/naralakamsani/Fake-face-detector
Description:
Load and preprocess the dataset of fake and real images. Train the image classifier on the dataset of fake and real images. Use the trained classifier to predict if an image of a face was created by AI, or a photo taken of a real person.
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Low-cost Retrain
URL: https://github.com/esalcort/importance_retrain.git
Description:
Some supervised learning tasks require continually re-training models. In this project, I explore different alternatives to minimize the re-training costs with the purpose of deploying deep learning model retraining on resource-constrained platforms.
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SMARET CITY VIDEO SURVELLIENCE
URL: https://gitlab.iotiot.in/PIAI21JAN1007
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Viziochron
URL: https://github.com/AndreV84
Description:
use of nvidia jetsons for various applications including woth realsense cameras d400, l500 etc.
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The Smart Low Cost Ventilator
URL: https://github.com/achuth10/Smart-Ventilator
Description:
Because of the Corona Virus Disease (COVID-19) pandemic scenario that the world is going through right now, there has been a surge in the requirement for emergency life support systems like ventilators. Conventional ventilators used in ICUs are expensive, so, we come up with a solution!
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Cardiac Abnormality Detection using Machine Learning
URL: https://github.com/srimanthtenneti/Cardiac-Abnormality-Detection
Description:
Detection of heart diseases from Cardiac report data is a tedious task that requires multiple medical workers to process it and then doctors analyzing it. So to simplify the analysis we have constructed a simple model that takes in certain parameters and predicts if the patient has heart disease.
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EdgeWare
URL: https://github.com/GbllYao/EdgeWare
Description:
When multiple services running on the resource-constrained edge devices, how limited resources can dynamically support the desired services is of the utmost importance for both researchers and developers. Efficiently and dynamically managing edge services becomes critical for edge platforms.
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Lets Collect Feeback with AI for the Toll..
URL: https://drive.google.com/open?id=16bI0aA5Q8OJ_xbg6kDkTvmtRyNCkiK6s
Description:
It is normally difficult to collect feedback about the services from customers. They are not interested in spending time with pen and paper or with APPS. When it comes to toll gate services like FASTTAG it is extremely difficult to gather the feedback. We provide a solution for the same.
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