# Intelligence traffic monitoring system ### About Due to a huge number of vehicles ,very busy road and parking which may not be possible manually as a human being, tends to get fatigued due to monotonous nature of the job and they cannot keep track of the vehicles when there are multiple vehicles are passing in a very short time. So modern cities need to establish effective automatic systems for traffic management and scheduling. The objective of this project is to design and develop an accurate and automatic number plate recognition system, Automatic traffic light control using google Api live traffic density data, smart fine system and also We can track the lost vehicle using vehicle number plate detection and find its location by google Map API. Intelligent Traffic Monitoring System (ITMS) is an image processing and machine learning technology to identify vehicles by their license plates and we uses the microService of google API for live traffic density. ### Features 1. License plate number recognition. 2. Matching the plate number with Database. 3. Intelligence traffic light control using live traffic density data. 4. Show traffic density of particular area for some duration of month in form of graph. 5. Online Vehicle license registration. 6. Smart fine system. ###Applications 1. Automated track the location of stolen vehicle 2. Anti-Theft/ Vehicle detection. 3. Traffic light automation ,no requirement of Traffic police. 4. Smart fine /E Challan Systems. 5. Car Parking / Automatic Toll Deduction. 6. Law Enforcement 7. VIP/Ambulance path Clearance 8. Help the government to take ● Increase the efficiency of existing transport infrastructure ● Develop a license plate recognition system, ● Build a smart fine system and in future enhancement automated fine systems for vehicles. ● Live Traffic detection system and automated traffic light control system. ● Predict the traffic density using machine learning for specific areas by its previous data. ● Automated lost vehicle detection system and information to administration. ● Handle traffic congestion using automated light control system. ### Installation * Clone the project. * Run `yarn install` to install the dependencies. * Run `yarn start` to view the project in action. ### OpenCV Demo to Count Vehicles * In "countingCars" directory, run 'python count.py' . ### License plate detection go to vehicle_number_by_its_pate folder and type python3 licenseplateDetection.py 1.jpg #secreenshot <img src="./screenshot/IMG_20200901_103735.jpg"> <img src="./screenshot/IMG_20200901_103751.jpg"> <img src="./screenshot/IMG_20200901_103811.jpg"> <img src="./screenshot/IMG_20200901_103826.jpg"> <img src="./screenshot/IMG_20200901_103844.jpg"> <img src="./screenshot/IMG_20200901_103906.jpg"> <img src="./screenshot/IMG_20200901_103943.jpg"> <img src="./screenshot/IMG_20200901_104003.jpg"> <img src="./screenshot/IMG_20200901_104044.jpg"> <img src="./screenshot/IMG_20200902_032314.jpg">

Detecting empty spaces in car parking using a camera at lamp-post angle. Video explanation: https://www.youtube.com/watch?v=y1M5dNkvCJc&t. Also check my new video in the same series, Easy Street Parking: https://www.youtube.com/watch?v=1aNT6S_VBNc

A smart parking system using ESP32, React, and Node.js that enables automatic parking lot management with slot registration, check-in/check-out, and real-time monitoring features.

An automatic license plate recognition system that uses computer vision to detect and read vehicle license plates, providing automated vehicle identification for access control, parking management, and security applications.

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A comprehensive repository for automatic number plate recognition (ANPR) in MATLAB. It offers plate localization, character segmentation, OCR, preprocessing, and sample datasets. Ideal for researchers, developers, and hobbyists, it enables robust ANPR systems for applications like traffic surveillance and parking management.

In this project it automatically identifying vehicle license plates from digital images or videos. It is a valuable tool for law enforcement, traffic management, and parking enforcement using Yolov8

💻 Só Estaciona! is a simple parking management system in which I can register the vehicles and automatically calculate the price based on the minutes that remained in the place.

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Automatic number plate recognition (ANPR) is quickly becoming an increasingly popular solution offering organisations effective visitor and car park access management. Several trends and challenges are driving the popularity of this solution, such as increasing vehicle thefts, security concerns as well as the growing interest in smart parking solutions and automated vehicle identification. We are using Tensoflow based solution for ANPR

My project is a graphical interface for efficient parking management. Users input vehicle details, which are stored. The program then checks parking availability automatically

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Python-based Automatic Number Plate Recognition (ANPR) system uses OpenCV and OCR to detect, read, and log vehicle plates in real time. Ideal for traffic enforcement, parking management, and security surveillance, it processes videos/images, flags suspicious plates, and securely stores data for quick access.

The Automatic Number Plate Recognition (ANPR) project developed using Python and the OpenCV library is a powerful system that automates the detection and recognition of vehicle license plates. ANPR technology plays a crucial role in various applications such as traffic monitoring, toll collection, parking management, and law enforcement.

A basic parking lot management system using Raspberry Pi. The system includes automatic license plate recognition (LPR) for vehicle entry, time tracking for parking duration, and control of the parking lot gate (fence). It allows for efficient monitoring and management of parking lot resources.

Smart Parking Slot Management System built with React, Node.js, Express, and MongoDB. The system provides real-time slot monitoring, vehicle entry and exit management, automatic billing, QR-based parking tickets, parking reports, slot map visualization, and vehicle history tracking for efficient parking operations.

Smart Parking Slot Management System built with React, Node.js, Express, and MongoDB. The system provides real-time slot monitoring, vehicle entry and exit management, automatic billing, QR-based parking tickets, parking reports, slot map visualization, and vehicle history tracking for efficient parking operations.

The Car Parking System is a Java-based application designed to help manage parking spaces efficiently. It allows users or administrators to record vehicle entries and exits, track available parking slots, and calculate parking fees automatically. This system simplifies parking management by reducing manual record-keeping and improving accuracy.

A simple console-based Parking Management System built in Java. This project allows users to: Add vehicles entering the parking area Remove vehicles and automatically calculate parking fees View all currently parked vehicles Calculate the parking charge for any vehicle based on duration

🚗 ESP32 Smart Parking System An intelligent automated parking management system using ESP32, computer vision, and license plate recognition. The system automatically detects vehicles, reads license plates using AI/OCR, verifies registration, controls entry gates, and manages parking slot allocation.

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IoT-based Smart Parking System automates parking management using an ESP32 microcontroller, RFID, and IR sensors. It displays available slots on a mobile app, local display, and website, handles billing automatically, and maintains customer data.

This project is developed as part of a Final Year Project (FYP) for the Diploma program. The Smart OKU Parking System aims to provide an automated and accessible parking solution for persons with disabilities. It integrates sensors, permit verification, and automatic gate control to ensure convenience, safety, and efficient parking management.

Smart Parking Management System addressing various issues using efficient data structures to manage parking slots dynamically. The system incorporates real-time slot allocation, multi-floor support, and automatic number plate recognition (ANPR) for vehicle logging, reducing human intervention and improving accuracy.

ALPR with ML is an automatic license plate recognition system using machine learning. It recognizes license plates from images, enabling applications in smart traffic and parking management.

This project implements a smart parking lot monitoring system using image processing techniques in MATLAB to automatically detect vacant and occupied parking spots from aerial or CCTV images. It showcases practical applications of computer vision and unsupervised learning (K-Means clustering) in real-world infrastructure management.

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An Intelligent Vehicle Parking System is a smart solution designed to optimize parking management using advanced technologies like sensors, cameras, IoT, and automation. It typically involves: Automatic Vehicle Detection: Sensors or cameras detect the entry and exit of vehicles, managing availability in real-time. Smart Allocation: The system guid

This Python project aims to develop a robust system for automatic license plate detection in images. It plays a vital role in various applications such as traffic monitoring, law enforcement, and parking management.