Vehicle Management System

Project Title

Vehicle Management System

Project Area of Specialization Artificial IntelligenceProject Summary

The intelligent transport system (ITS) manages the transportation system, where the Vehicle has to cross a particular point. These three tasks are a more important challenging task for the intelligent transport system because there are lots of factors which impact the result like light and camera qualities, So it is important that when the camera captures the picture and video of the vehicle, the vehicle should show clearly in cameras, Another factor is camera quality it is kept in mind that when the camera captured the picture and video on the optical sensor so if a camera has good quality than the high-quality image will be captured. The Vehicle Detection & management system (VMS) is a complete kit that performs more than one different task and works on the different features of vehicles. This study has implemented the three most important feature with the database, the first one is vehicles class detection (it means to classify the type of vehicle like bike, car, truck, bus, etc..), as we know that yolo v3 “you once look only version three” it is also called the first layer of CNN (convolutional Neural Network) it is an object class detection machine learning algorithm have been implement in first key feature to identify the class of the vehicle.  the second feature is that to detect the color of any vehicle using open cv Technique (color recognition is an easy task for human being but it is not a straight forward task for the machine so machine can divided the image into RGB region to detect the particle color name), the second last key feature is that to detect the vehicle license number plate (in this process a machine can detect the vehicle license number plate, using KNN “k nearest neighbor ’ it is an machine leaning algorithm that detect the number plate from given input then using OCR “optical character recognition ” technique machine detect the possible character because in Pakistan vehicle number plate is the combination of numeric , alphabet character with province logo, so using OCR machine can detect the particular character and convert into digital form ) when machine perform there three key feature so in last we can retrieve all the information about vehicle using database system (that we implement using SQLite ) database that is by default database in tkinter python language, so machine can retrieve all the main details about vehicle like (owner name, owner Father name, Owner CNIC, vehicle Engine Number , vehicle number plate and vehicle color ) , these are the key feature of the system that this study develop.

Project Objectives

Aim of the vehicle detection and management system it that to develop a such system that is complete package that manage all the information about the vehicles and enhance the security system of the vehicle that is fully need full for the end person and traffic department to get the vehicles information  so in this study we have create four primary objective to work on it and make it possible , the first one is to detect the class of any vehicle and the second one is to detect the color of any vehicle and the second last is vehicle license number plate detection and the last one is information retrieval about the vehicle.

Project Implementation Method

This section describe the purpose method of Vehicle Management system, the complete method is categorized into 4 primary key features, the first one is vehicle type classification, Vehicles Color Detection,  Vehicle Number plate Detection, and last on the information retrieval system. All the previous vehicle types’ detection algorithms have used regions to localize the vehicle types within the image. The network does not look at the complete vehicle. Instead, parts of the image which has high Probabilities of containing the vehicle part. YOLO or You Only Look Once is an object detection algorithm and a vehicle is also a type of object. Object detection is a task in computer vision that involves identifying the presence, location, and type of one or more objects in a given photograph

Vehicle Class Detection 

in-vehicle we have the first process is accusation process of the image then image goes to the vehicel detection where the neural network trained so the vehicel detected do it move to the classifer to clisify the image other wise it will show the an unknow object of the real world. 

Vehicle Color Detection

Color detection is necessary to recognize objects, it is also used as a tool in various image editing and drawing apps. Color detection is the process of detecting the name of any color. Simple isn’t it? Well, for humans this is an extremely easy task but for computers, it is not straightforward. Human eyes and brains work together to translate light into color. Light receptors that are present in our eyes transmit the signal to the brain. Our brain then recognizes the color.

Vehicle number Plate detection

After the vehicle class  & color detection process, this study move on the Third primary features vehicle number plate recognition the number plate recognition follow up multiple key stages as you can see in figure 7. Vehicle Number Plate Recognition (VNPR) technology is used to help detect the vehicle number and get the all information about vehicle, through this study to overcome the crimes that have been done in local areas, As a vehicle passes a VNPR camera, its registration number is read and instantly checked against database records of vehicles of interest. Police officers can intercept and stop a vehicle, check it for evidence and, where necessary, make arrests. A record for all vehicles passing by a camera is stored, including those for vehicles that are not known to be of interest at the time of the read that may in appropriate circumstances be accessed for investigative purposes. The use of VNPR in this way has proved to be important in the detection of many offenses, including locating stolen vehicles, tackling uninsured vehicle use, and solving cases of terrorism, major and organized crime. It also allows officers’ attention to be drawn to offending vehicles whilst allowing law-abiding drivers to go about their business unhindered.

Benefits of the Project

There are more than one benefit of the vehicle detection and management system that are discussed below:

1. This system we can implement in auto access parking area
2. This system also used in to enhance the security system of the traffic control management department
3. The benefit is that to overcome the street robberies and easily find the real owner of the vehicle.
4.  We have develop an application which can detect the vehicle, detect the number plate, detect vehicle color and find record of vehicle form database.
5. This application helps to enhance the security system of vehicles
6. It manages highway traffic, parking area of schools, universities and colleges.

Technical Details of Final Deliverable

this system is developed in the field of artificial intelligence and digital image processing and implement through machine learning algortiham so  in this system we have use multiple techniques that are the backbone of the project  

1) python 3.8

2) machine learning algorithms  like CNN, KNN,

3) computer vision library like open cv 

Final Deliverable of the Project Hardware SystemCore Industry ITOther Industries Transportation , Security Core Technology Artificial Intelligence(AI)Other Technologies RoboticsSustainable Development Goals Quality EducationRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	54000
web camera	Equipment	2	7000	14000
Core i 7 PC	Equipment	1	40000	40000