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.
URL: https://github.com/akhilaku/Image-Classifier-using-Intel-Movidius-NCS-
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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URL: https://github.com/TebogoNakampe/TMIP-2019-nCoV-Recognition.git
Experiment 2: Coronavirus (2019-nCoV infection) Recognition using Deep Neural Networks for Computer Tomography (CT) image analysis.
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URL: https://github.com/aiial/hias-all-oneapi-classifier
Combines Oculus Rift's Virtual Reality 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 Virtual Reality environment.
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URL: https://github.com/oscillator25/Vision
This application is designed to detect and authenticate a person and notify him/her if some intruder is detected in the concerned area and then he/she will be notified of this with a picture of an intruder being sent to the predefined e-mail.
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URL: https://aifyjs.github.io/how-to/
A single library including which you can automatically bring the power of AI into your website, making it more accessible to people with visual and cognitive disabilities.
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URL: https://github.com/Aya-ZIbra/MyYogini
An app that goes with you to the gym and diagnoses your yoga pose. It gives you corrections and tracks your style progess. This is the ultimate exercise app. Ideally, it will learn over time your particular limitations and not push you so hard that you get injured.
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URL: https://github.com/hexagontechinc/WIP
Streamed vibration charts are analyzed by an AI system in real time. Detected anomalies are logged and surrounding environment data is captured for further model learning purposes. The application is machine anomaly detection for predictive maintenance.
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URL: https://github.com/shubham769/Driver-drowsiness-detection
A computer vision system made with the help of OpenCV that can automatically detect driver drowsiness in a real-time video stream and then play an alarm if the driver appears to be drowsyion, can be used by riders who tends to drive the vehicle for a longer period of time that may lead to accidents
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URL: https://googlee.technology/
I have created Artificial & Machine Learning based Google Assistant for our Saveetha Institute of Medical and Technical Sciences [SIMATS].With this Smart Assistant we can do all academic activity procedures such as We can retrieve the student details, Faculty details, Exam dates and Attendence etc.
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URL: https://github.com/dhelulodha/Nimble_Maps
A project that aims to solve three major problems of India i.e. Potholes, Illumination (Women Safety at Night) and Noise graph. We plotted each and every parameter in a single map. Crowdsourcing is the best way to collect data so to implement that user input is also taken to improve our dataset thro
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URL: https://github.com/singh728om
I have done with build a Machine Learning model to detect leaves of a tree to predict the chlorophyll per cm in the area of leaves with NASA dataset and classify types of trees to count max-min leaves in a tree. And finally, the next step to 6CO2 + 6H20 + (energy) → C6H12O6 + 6O2 calculates oxygen.
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URL: https://photos.app.goo.gl/MdpRfoYggwaRn6AS7
Phillips Medical EA ran a campaign dubbed Back to Rhythm aimed at teaching communities in Kenya about the importance of healthy living habits .I was hired as a consultant to build the Mc Runner and rider to help participants ride ,run and win an EAD defibrilator for their public hospitals placesetc.
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URL: https://github.com/gaurav-karna/Ocularis
A virtual assistant for the visually impaired – a containerized and unified solution to tackle some of the daily challenges faced by millions worldwide who have complete/partial visual impairment.
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URL: https://youtu.be/W1VboHkwuuk
We have built an Elderly fall detection system to detect the fall - Real-time. It is a compact device and wireless too. Inside the room and also in the bathrooms, we shall detect the fall and alert the caretakers immediately. We have implemented the indoor localization as well.
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URL: https://github.com/yongtuoliu/Crowd-Counting-via-Cross-stage-Refinement-Networks
With the rapid increase of urban population and surveillance cameras, crowd scene analysis is of great importance. We are developing an application system to perform crowd counting and crowd scene analysis on the edge computing device.
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URL: https://github.com/ksajan/Smart-Pole
Why waste so much space building a smart city by putting so many devices for connection, when only one is enough. A simple Pole is equipped with a Raspberry-pi which controls and sends information from Security camera Camera and Mobile signal, Emergency and energy-efficient source.
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URL: https://github.com/coolioxlr/fitstream
Using AI Streaming platform for fitness professionals, yoga teachers, dance instructors so they can host live class with live feedbacks. We use tensorflow PoseNet to plot user's poses and compare with the streamer instructors to get a feedback system for the instructors themselves.
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URL: https://www.youtube.com/watch?v=AQNJSVBpcQQ&list=UUma2b1uVLajAq9nHSEJh9HQ
A Simple and effective wearable Solution for the paralysis patients is designed. This will ease the communication between the patient and the caretaker.
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URL: https://github.com/CoDeRgAnEsh/Dreamote
OpenCV draw buttons and sliders sends inputs to arduino !
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URL: https://github.com/ayulockin/optimized_surveillance
This project aims at improving efficient usage of the storage device by keeping relevant data from surveillance. In many scenario a surveillance camera looks at an empty corridor. We aim at recording the feed only when a human is detected in the feed.
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