We have attached the github repository and explanation video link to the project respectively!
Social distancing is possibly the only way to contain the spread of COVID-19. Amidst this crisis, We build a simple Social Distancing Detector that could monitor the practice of social distancing in a crowd. This project uses Deep Learning based YOLOv3 weights Pretrained model for object Detection, OpenCV python library for image processing and Centroid Tracking Algorithm For object tracking. we have successfully built a simple Social Distancing Detector using Deep Learning. This has several applications such as the CCTV cameras which can be equipped with this software tool to monitor the practice of social distancing in a huge crowd or in an office environment. This project can be used for monitoring social distancing in Lockdown & to fight against COVID-19 a.k.a. Corona Virus.
Brain tumor at early stage is very difficult task for doctors to identify. MRI images are more prone to noise and other environmental interference. So it becomes difficult for doctors to identify tumor and their causes. So here we come up with the system, where system will detect brain tumor from images. Here we convert image into grayscale image. We are going to detect brain tumor using matlab and basic knowledge of image processing. We will use concept of solidity and thresholding. The repository contains the source code in matlab for brain tumor detection. We apply filter to image to remove noise and other environmental interference from image. User has to select the image. System will process the image by applying image processing steps. We applied a unique algorithm to detect tumor from brain image. But edges of the image are not sharp in early stage of brain tumor. So we apply image segmentation on image to detect edges of the images.
SUBMITTED BY: Abhishek Kumar , Kavita Yadav , Vishal Chaudhary