Vehicle Number Plate Recognition and Parking System

A parking lot also known as a car lot, is a cleared area that is intended for parking vehicles. Usually, the term refers to a dedicated area that has been provided with a durable or semi-durable surface. In  most  countries  where  cars  are  the  dominant  mo

Project Title

Vehicle Number Plate Recognition and Parking System

Project Area of Specialization

Artificial Intelligence

Project Summary

A parking lot also known as a car lot, is a cleared area that is intended for parking vehicles. Usually, the term refers to a dedicated area that has been provided with a durable or semi-durable surface. In  most  countries  where  cars  are  the  dominant  mode  of transportation,  parking  lots  are  a  feature  of  every  city  and suburban  area.  Shopping  malls,  sports  stadiums,  mega churches  and  similar  venues  often  feature  parking  lots  of immense  area.  This  system  is  developed  based  on  digital images manipulation and can be easily applied to commercial purpose for the use of secure usage of parking houses and also to prevent car theft issues and many more.

        An Automatic Number  Plate  Recognition (ANPR)  is a

technology that uses optical character recognition on images

to read vehicle registration plates. It  can use existing closed

circuit television, road-rule enforcement cameras, or cameras specifically designed  for  the task. ANPR is  used  by  police forces  around  the  world  for  law  enforcement  purposes, including checking if a vehicle is registered or licensed. It is also used for electronic toll collection on pay-peruse roads andas a method  of  cataloguing  the  movements  of  traffic  for example by highways agencies.

Project Objectives

In our project our main objectives are:

• Vehicle Number plate Recognition and Parking System is being used to help reduce congestion in busy cities and implement barrier free parking facilities.
• VNPR provides automated 24-hour access to secure sites or car parks by entering the relevant vehicle's number plate into the system. When pre-approved vehicles turn up, the barrier will open allowing free-flowing vehicle access in and out of any secure site. Access can equally be removed or revoked at any time

Project Implementation Method

In the current era of information technology, the use of

automatic  system  is  becoming  more  and  more  widespread. Automatic number plate recognition can be used to store the images captured by the cameras as well as the  text from  the license plate, with some configurable to store a photograph of the driver.  Systems commonly use infrared lighting to allow the camera to take the picture at any time of the day. ANPR technology must take into account plate variations from place to  place.  Fully automated  systems  are  being  adopted  in industries across the world at a rapid rate. Control systems are replacing manual operators and fully automated machines are

replacing human labor. Less personnel and smarter machines means  less  operating  and  labor  costs  while  increasing  the quality of the products or services offered. Though this limits the use of the parking lot, it increases the security of  the lot which has been deemed as a reasonable trade-off.

Benefits of the Project

. ANPR is used  by  police forces  around  the  world  for     law  enforcement  purposes, including checking if a vehicle is registered or licensed.

. It is also used for electronic toll collection on pay-peruse roads.

. An Automatic Number  Plate  Recognition (ANPR)  is a

technology that uses optical character recognition on images

to read vehicle registration plates

Technical Details of Final Deliverable

The working of full VNPR system can  be divided in to

two  broad  sections  which  are  the  hardware  part  and  the software  part.  The  working  mechanism  of  all  the  parts  is described in details below.

         The first and the most important part in this process is

the software  model.  The  software  model  uses  the  image

processing technology.  The  algorithm  is  divided  into

following parts:  Capture image, Pre-processing, Plate region

extraction, Segmentation of character in the extracted number Comparison  with  database and Indicate  result.

Capture of Image: The first step is the capture of image. The image is captured by electronic device Pi Camera or Webcam. The image captured is stored in JPEG format.Later on it  is converted in to gray scale image.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

IT

Other Industries

Security

Core Technology

Internet of Things (IoT)

Other Technologies

NeuroTech

Sustainable Development Goals

Zero Hunger

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com