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This project is developed to detect the presence of potholes on the road surface. It gives the alert about the presence of the potholes within the vehicles tire range and gives the depth of the detected potholes.
Welcome to Real-time Object Detection! This project utilizes the power of machine learning to detect objects in real-time using a pre-trained SSD MobileNet V3 model. With this project, you can easily identify various objects, such as people, vehicles, animals, and more, directly from your webcam feed.
Machine Learning TensorflowJS models for British Sign Language dectection - used in Slingo, a University of Bath group software project. Includes the BSL dataset created for training the models
PyTorch approach to object detection of wildifre smoke with Faster R-CNN inception v2 and SSD Mobilenet v2 Models and detailed comparative analysis between each other.
Farm Watch: Real-time surveillance for crop protection. Cameras detect and repel animals, alerting farmers for swift action, ensuring crop and livestock safety.