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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.
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.
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.
A Simple and effective wearable Solution for the paralysis patients is designed. This will ease the communication between the patient and the caretaker.
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.
SadiaX uses Intel distribution of OPENVINO and deep learning to detect the position of the patient and predict falls. https://www.youtube.com/watch?v=fPvs3ucskVY
We wish to improve the utilization of public transport in the metropolitan cities of India. Following are some of the problems which are directly impacting the utilization of public transport systems: 1. Bus bunching 2. Unawareness of passenger count 3. Lack of robust feedback system.
A basic implementation of Gesture Control in rooms for the elderly and differently abled(and also lazy people). Just show the number by using finger count to the camera and control your home appliances.
We have built this product to propel clients to utilize public transport by furnishing the client(as per relevance) with complete subtleties of any vehicle .
It's a Self-Driving Car Prototype through Machine Learning. The remote controlled car is trained to navigate on its own on the provided path towards the destination.
One would be surprised to know that the toiletry based diseases play a major role in world hygiene. Many a times, it has even been fatal. One side there are no toilets and people are still using open spaces. Another side, there are toilets, but, they lack maintenance. We have a system in place.
The project is about different scenarios of FIR filters optimization using OpenCL and different architecture techniques. Its an academic project which explores the design space for different architectural implementations of filter.
Chef.ai is a web app that was created to simplify the 'What should I eat?' process. It combines a myriad of technologies, including the Intel Distribution of OpenVINO, to make figuring out what to cook a fun, simple, process.
A tennis ball retriever using #Intel 's D415 RealSense camera and #OpenVINO for object detection. Great project to use computer vision, object detection, and robotics!
The hotdog app of Intelligent Robotics.
Learn how to train a model and build a simple waste classifier that can be deployed on edge computing devices, optimized by Intel OpenVINO and Neural Compute Stick 2. The classifier can take an image of an item, classify it, and determine whether it belongs in a recycle, compost, or landfill bin.
A drone project that performs object detection and make a search engine out of the drone feed. Project under Machine Learning and AI society of Developer Students Club - IIT Patna.