SarvathSharma / Smart-Traffic-Control-System
Smart Traffic Control System to analyze traffic patterns and determine best traffic light outputs
☆10Updated 4 years ago
Related projects: ⓘ
- The name says everything...☆22Updated last year
- REALTIME EFFICIENT TRAFFIC MONITORING☆21Updated 3 years ago
- The name says everything...☆44Updated 3 years ago
- This Adaptive Traffic Signal Timer uses live images from the cameras at traffic junctions for real-time traffic density calculation using…☆148Updated last year
- We developed a system that leverages on YOLO Machine Learning Model for managing the traffic flow based on the vehicle density.☆37Updated 3 years ago
- ☆13Updated 4 years ago
- Automatic incident detection on Indian Roads using Artificial Intelligence. Model is trained using Tensorflow object detection API. Use o…☆40Updated 6 years ago
- Trained MobilenetV2 model to recognize the distracted behaviors exhibited by drivers while driving. Deployed the Deep Learning model on t…☆14Updated 3 years ago
- The goal of this project was to build a smartphone application that can recognize hazardous behavior of a car driver. The driver actions …☆10Updated 4 years ago
- Driver drowsiness detection is a car safety Technology which helps prevent accidents caused by the driver getting drowsy. The following c…☆23Updated last year
- The system takes video footage of a highway as input and provides statistics like the count of vehicles and an average estimated speed of…☆58Updated 5 years ago
- Final Year Project in Computer Vision that detects and reports traffic violations for safety purposes.☆36Updated last year
- Python based project to provide a Video Analysis method for Vehicular Accident Detection.☆14Updated 3 years ago
- Detect speed of vehicles on multi-lane highways.☆12Updated 4 years ago
- A project for counting vehicles using YOLOv4 + DeepSORT + Flask + Ngrok + TF2☆43Updated 2 years ago
- a traffic monitoring system using Tensorflow and OpenCV☆11Updated 4 years ago
- CV integrated project. Including MOT to track cars and pedestrians, object detection and image classification to get license plate conten…☆45Updated last year
- Vehicle Identification Speed Detection (VISD) extracts vehicle information like License Plate number, Manufacturer and colour from a vide…☆17Updated 3 years ago
- Using deep learning and computer vision(pytorch) to detect accidents on dashcam and report it to nearby emergency services with valid acc…☆13Updated 4 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 …☆30Updated 3 years ago
- Computing the time to clear the intersection using Machine Learning , Image Processing and OpernCv in python☆13Updated 5 years ago
- IDL course project: Traffic Accident Detection via Deep Learning.☆13Updated 3 years ago
- Traffic Management and Emergency Vehicle Detection using Decision Trees and OpenCV☆10Updated 4 years ago
- Driver Drowsiness Detector detects if a driver or a person is drowsy or not, using their eye movements.☆160Updated 4 months ago
- xml file vehicle detection☆33Updated last year
- In this tutorial, you will learn how to detect the speed of a car using Python OpenCV library and some basic mathematical calculations. I…☆14Updated 4 years ago
- This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.☆18Updated 6 years ago
- [IEEE Research paper + Project] Real Time Road Accidents Detection System based on crash estimation; a computer vision techniques that de…☆60Updated 2 months ago
- Detect whether the person is wearing the safety helmet and vest in industry.☆24Updated 4 years ago
- Using deep learning and computer vision(pytorch) to detect accidents on dashcam and report it to nearby emergency services with valid acc…☆1Updated 4 years ago