SMARET CITY VIDEO SURVELLIENCE
URL: https://gitlab.iotiot.in/PIAI21JAN1007
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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.
Viziochron
URL: https://github.com/AndreV84
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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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Detecting Acute Lymphoblastic Leukemia Lymphoblasts with Tensorflow/oneAPI/OpenVINO & Neural Compute Stick
URL: https://github.com/aiial/hias-all-oneapi-classifier
Description:
An open-source classifier programmed using the Intel® Distribution for Python* and trained using Intel® Optimization for TensorFlow*. The model is deployed on a Raspberry 4 using Intel® Distribution of OpenVINO™ Toolkit and inference is carried out using Neural Compute Stick 2.
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HIAS TassAI Facial Recognition Agent
URL: https://github.com/AIIAL/HIAS-TassAI-Facial-Recognition-Agent
Description:
Security is an important issue for hospitals and medical centers to consider. Today's Facial Recognition can provide ways of automating security in the medical industry, reducing staffing costs and making medical facilities safer for both patients and staff.
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Hospital Automation Server
URL: https://github.com/AIIAL/HIAS-Core
Description:
The Hospital Intelligent Automation Server (HIAS) is an open-source hub that powers a network of intelligent IoT connected devices and applications.
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Medical Imaging 2D Convolution Demo
URL: https://gitlab.devtools.intel.com/agolden/hls-medical-imaging-convolution-demo
Description:
During my time as an intern at Intel (Summer 2020), I worked with Health and Life Sciences in the Medical Imaging segment. My project for the summer was to create a demo that runs convolution on medical images on the OneAPI Development Cloud.
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ADVANCED OBJECT DETECTION USING YOLOV4
Description:
In this Project, An AI application is developed to detect the objects in realtime.
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People Counter App
URL: https://github.com/Nitin-Mane/People-Counter-App-Edge.git
Description:
The people counter application will demonstrate how to create a smart video IoT solution using Intel® hardware and software tools. The app will detect people in a designated area, providing the number of people in the frame, average duration of people in frame, and total count.
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Eye
URL: https://eye.4ir-abi.co.za
Description:
Eye is a mobile application that aims to reduce the number of unreported and dismissed cases of Gender Based Violence (GBV) crimes in South Africa. The application allows real-time video streaming with family and friends while playing a game to discretely report gender based violence crimes.
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Pandemix - The one-stop solution for all COVID 19 related social hassles.
URL: https://drive.google.com/open?id=1eHJsGAkM-e-e1JqcdHSq0lAjhxSI4VKc
Description:
"An app ecosystem that caters to a wide variety of social needs for a multitude of users, keeping their safety as our primary concern. "
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lee
Description:
leeberry333_gmail.com#ext#@leeberry3.onmicrosoft.co
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Mouse Controller
URL: https://github.com/ajudges/mouseController
Description:
This project - Computer Pointer Controller - moves the mouse pointer to the direction of the eye gaze. It does this by using a combination of 4 different computer vision models -face detection model, landmark detection model, head-pose estimation model, and gaze estimation.
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Smart Queue
URL: https://github.com/ajudges/smart_queue/
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A smart queue system for retail scenarios. It counts the number of people in various queues.
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People Counter at the Edge
URL: https://github.com/ajudges/people_counter
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This application is designed to count the number of people and their duration in an environment. Its use cuts across different applications such as counting the number of people in a mall or using it to limit access of people to a place.
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violence and crime detection(kidnapping, stealing) in public and educational milieu
URL: https://github.com/Tchouanga12/violenceDetection
Description:
This project entails in taking in consideration all the criminal and violent acts which occur within our society. This project came to life due to the rampant misbehaviors of young scholars in the school milieu such as aggressive attacks towards teachers and instructors , rape
Tchouanga Tchatchouang Franck Stephane
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EMAR Mini - Emergency Assistance Robot
URL: https://github.com/COVID-19-AI-Research-Project/EMAR-Mini
Description:
EMAR Mini is a minature version of EMAR, an open-source Emergency Robot Assistant to assist doctors, nurses and hospital staff during the COVID-19 pandemic, and similar situations we may face in the future.
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