Project Overview Model: YOLOv5 (You Only Look Once version 5) Pre-trained Model: VGGFace2 (adapted for chocolate classification) Task: Real-time multi-classification of chocolates Classes: Different chocolate brands (e.g., KitKat, Dairy Milk, etc.) Input: Camera feed Output: Detected and classified chocolate brand
Car Plate Detection and Blurring
This project presents a cutting-edge solution for detecting and anonymizing license plates in visual data, ensuring privacy and security in various applications. The system boasts a robust plate detection model, leveraging Convolutional Neural Networks (CNNs) and Deep Learning techniques to identify…
Traffic Analysis and Incident Detection
The Traffic Control and Incident Detection System is an innovative application that leverages Computer Vision and Deep Learning technologies to enhance road safety and efficiency. This system is capable of detecting and tracking various road users, including pedestrians, vehicles, and animals,…