The demand for medicine and doctors are never-ending and ever-green as our society has been revolutionized and the life expectancy rate has increased. Everyone right from a six-year-old to 90 year old are aware of what all kind of diseases exists as of now, specialization of doctors, which doctor to approach when we have a particular problem and so on. Thus a common wish prevailing in everyone no matter their age is that to live long and stay in pink of health. Adding to this point, millions ...
Malaria is a life-threatening disease. It's typically transmitted through the bite of an infected Anopheles mosquito. Infected mosquitoes carry the Plasmodium parasite. When this mosquito bites you, the parasite is released into your bloodstream.
World Health Organization estimates that India has 15 million cases of malaria with 19,500–20,000 deaths annually vs. ∼2 million cases and 1,000 deaths reported (WHO SEARO website). Therefore we are using deep learning technologies to train Artifici...
Pneumonia is the most common form of disease in human lungs, and Viral Pneumonia and Bacterial Pneumonia are the two major forms of Pneumonia that can cause severe damages to the human respiratory system which might lead to death if not treated correctly before it's too late. Therefore Accurately identifying and categorizing the pneumonia subtypes is an important and challenging clinical task, and automated methods can be used to save time and reduce error.
It becomes difficult for even expe...
Utilized a deep object detection network (YOLO) to capture an object's movements in the current camera frame which then served as evidence to a Partially Observable Markov Decision model for visual servoing.
Integrated ROS enabled 3D Recurrent Reconstruction Neural Network (3DR2N2) in Theano to generate the 3D shape of an object from 2D images and detected grasping poses on it.
Architected a hybrid model using five different machine learning models (Logistic Regression, SVM, Optimized KNN, Random Forest and Gaussian Based Model) with weighted polling to detect component failures in the Air Pressure System of heavy Scania trucks.
Applied various feature engineering methods to deal with inconsistent data.
Devised algorithms that can detect cars parked at multiple parking spots, compare if two cars are same or not, predict the colour of a car and output each car that was detected and how long it was parked for (approximately) within a given time interval.
Most existing automatic house price estimation systems rely only on some textual data like its neighborhood area and the number of rooms. The final price is estimated by a human agent who visits the house and assesses it visually. In this project, we automatically estimate the house price by extracting visual features from house photographs and combining them with the house’s textual information.
[4-5 FPS / Core m3 CPU only] [11 FPS / Core i7 CPU only]
OpenVINO+DeeplabV3
RealTime semantic-segmentaion.
Python3.5+Tensorflow v1.11.0+OpenCV3.4.3+PIL
Latte Panda Alpha or Other x64 PC
Estimating hear rate through sensors is one way of it. Figuring out what your heart rate is only requires a finger placed on your neck or
wrist , a watch, and the ability to count. But if that seems like too much effort there are alternatives that can detect a heart rate using software and a camera. We have done that! Hope you like it!
Amidst the numerical renaissance and the rise of AI, 3D object recognition is a rapidly developing field that offers huge potential. Edge technologies are the next evolution for tangible robotics and smart systems, but current algorithms and machine learning techniques throttle the capabilities of this emerging field. To train an AI, nothing short of a desktop GPU is required. Energy consumption is often through the roof, and relying on remote cloud technologies for data processing invites a ...
Pill Shape Classifier can be used in industrial belts to help classify pills on their shapes. This can further increase the speed and help to decrease human errors. Pill segregation can also be domestically used by older adults to help identify their medicines. This project was made using the UP Embedded Vision Starter Kit.
Tesseract is an optical character recognition engine for various operating systems. It is free software, released under the Apache License, Version 2.0, and development has been sponsored by Google.
-> Built a Novel Neural Network architecture, which helps in recognizing Arbitrary Length, Multi-Style and Noisy Images in Segmentation Free Manner.
-> Achieved State of the Art Accuracy on license Plate Dataset with Improvement of more than 1.9% in Accuracy.
