SebatinieCyril's Stars
mike3630/MinDistanceOverImages
Comp 3301 project to apply Dijkstra's Algorithm over image processing using two different queues
dhruv369/ComputerVision
Computer Vision
Chinukapoor/Smart-Agriculture-using-IoT-and-Machine-Learning
The project uses Arduino UNO with multiple sensors attached to it like Soil Moisture sensor, Photoelectric Diode Sensor,Humidity sensor etc that takes reading on a periodic basis.The mission of the project is to intimate the farmers or other stakeholders in predicting when the crop is about to deteriorate. This is accomplished by a Machine Learning Layer that has been modeled to identify the degradation of a crop's health before its degradation starts. It uses KNN-algorithm to cluster the crops according to the impeding eventuality.The next iteration identifies the most probable cause and thorugha UI intimates the stakeholder whta steps needs to be taken to prevent crop-failure
kaushikjadhav01/Object-Detecion-via-Smartphone-Camera-using-Faster-R-CNN
Detecting objects captured in the frame of a Smartphone Camera using Faster R-CNN algorithm. TensorFlow Object Detection API has been used for back end & OpenCV has been used to process the frames of video captured from Smartphone Camera. IPWebcam app is used to link Smarthphone to Object Detection Code