shubham001official / Smart-Adaptive-Traffic-Management-SystemLinks
🚗🚦 Introducing our Smart Adaptive Traffic Management System! 📷🧠 Using YOLO v8 object detection & CCTV cameras, we analyze real-time traffic. By tracking vehicles 🚙 & pedestrians 🚶, we enhance signal timings for better flow, safety, & reduced congestion. Drive smarter with us! 🌐🏞️
☆37Updated last year
Alternatives and similar repositories for Smart-Adaptive-Traffic-Management-System
Users that are interested in Smart-Adaptive-Traffic-Management-System are comparing it to the libraries listed below
Sorting:
- REALTIME EFFICIENT TRAFFIC MONITORING☆31Updated 4 years ago
- We developed a system that leverages on YOLO Machine Learning Model for managing the traffic flow based on the vehicle density.☆56Updated 4 years ago
- EC351: Introduction to Algorithms☆66Updated 3 years ago
- An accident Detection System is designed to detect accidents via video or CCTV footage.☆67Updated 2 years ago
- Final year project.☆99Updated 4 years ago
- An application that provides complete assistance to farmers right from sowing to harvesting. Its features include plant disease detection…☆62Updated 2 years ago
- Deals with an idea to Remove Traffic Congestion in metropolitan cities and maintain smooth flow of traffic thereby reducing Traffic Jams.☆42Updated 3 years ago
- Final Year Project in Computer Vision that detects and reports traffic violations for safety purposes.☆41Updated 2 years ago
- ☆16Updated 3 years ago
- CNN Based model to classify Plant Leaf Diseases. Used Flask for the front-end and hosted on Heroku.☆27Updated last year
- This project aims to do real-time object detection through a laptop cam using OpenCV. The idea is to loop over each frame of the video st…☆147Updated 4 years ago
- An End to End Real Time Face Identification and attendance system using CNN☆115Updated 3 years ago
- Upload leaf image🌱 and predict the plant disease.☆23Updated last year
- This Adaptive Traffic Signal Timer uses live images from the cameras at traffic junctions for real-time traffic density calculation using…☆185Updated 2 years ago
- communication application to make Complete conversation with deaf people☆12Updated 5 years ago
- The name says everything...☆54Updated 4 years ago
- Plant Disease Detection is one of the mind-boggling issues when we talk about using Technology in Agriculture. Although researches have b…☆201Updated 2 years ago
- Bases on Leaf images we are trying to predict plant disease using convolutional neural network. PyTorch implementation☆298Updated 6 months ago
- Accident Detection Model using Deep Learning, OpenCV, Machine Learning, Artificial Intelligence.☆62Updated 5 months ago
- Custom Object detection using YOLOv3 on the cloud. It is trained to detect Fire in a given frame. It can be largely used for Wildfires, f…☆47Updated 2 years ago
- Face recognition software to detect criminals in images and videos, noting their time of occurences.☆91Updated last year
- Software Engineering course project, Smart Attendance System using Face Recognition and OpenCV☆70Updated 3 years ago
- This project is about the use of edge inference for counting number of cars from all directions on a traffic light to decide the red and …☆61Updated 4 years ago
- This was my major project done in B.Tech final year. The idea behind the project was detecting the blood group of a person by using hand …☆14Updated last year
- ☆98Updated last year
- A system which alarms the driver as soon as it detects that the driver is becoming drowsy to prevent any accident.☆50Updated 6 years ago
- Final Year Project on Road Accident Prediction using user's Location,weather conditions by applying machine Learning concepts.☆85Updated 5 years ago
- Attendance Management System based on Face Recognition using Python and OpenCv☆68Updated 2 years ago
- A car safety technology that can auto-detect driver drowsiness in real-time. This system can prevent road accidents that are caused by dr…☆34Updated 4 years ago
- This project aims to tackle this problem by developing a system that can effectively detect fake news using machine learning techniques.☆8Updated last year