Automatic Number Plate Detection of Car

Project Title

Automatic Number Plate Detection of Car

Project Area of Specialization Electrical/Electronic EngineeringProject Summary

Automatic License Plate Recognition system is a real time embedded system which automatically recognizes the license plate of vehicles. There are many applications ranging from complex security systems to common areas and from parking admission to urban traffic control. Automatic license plate recognition (ALPR) has complex characteristics due to diverse effects such as of light and speed. Most of the ALPR systems are built using proprietary tools like Matlab. This paper presents an alternative method of implementing ALPR systems using Free Software including Python and the Open Computer Vision Library

 

Project Objectives

The purposed hardware helps us to automatically identify the number plates and the details of the owner the purposed system is automatic in operation and identify the any vehicle details by the image processing method.

Project Implementation Method

This system helps us to identify the number plate by the following methods.

A. Capture

The image of the vehicle is captured using a high resolutionphotographic camera.

B. Preprocess

Preprocessing is the set algorithms applied on the imageto enhance the quality.

C. Connected Component Analysis

In order to eliminate undesired image areas.OR extraction of number plate location.

D.Segmentation
Segmentation is the process of cropping out the labelledblobs.

E. Recognization of number plate characters.

F. Display the vehicle number.
 

Benefits of the Project

• Automatic number plate recognition cameras are used to measure the average vehicle speed over longer distances
• Used to identify a motorist when he/she drives away without paying for their fuel
• Targeted advertisement
• Automatic number plate recognition cameras are used for Traffic management systems.
• Used to Analyze the behavior (route choice, origin-destination etc.) of a motorist for transport planning purposes
• ANPR camera solutions automatically recognize customers based on their license plate and provide them the complete information about the items that they ordered the last time they used the service.
• Automatic license plate recognition camera solutions are used to recognize the guest vehicles in order to assist visitor management systems.

Technical Details of Final Deliverable

The hardware used in the implementation of this project are.

1. Webcam : for taking the picture of the car number plate section.
2. Buzzer : it will used for alarm purposes.
3. Ultrasonic sensor: ultrasonic sensor is an instrument that measures the distance to an object using ultrasonic sound waves. 
4. Raspberry pi : The Raspberry Pi microcontroller  is a credit-card sized computer that plugs into a computer monitor or TV, and uses a standard keyboard and mouse. It is a capable little device that enables people to explore computing, and to learn how to program in languages like Python.
5. LCD for display purpose.
6. I2c Module
7. Drawing boards as a base of project
8. Servo Motor
9. Capacitors
10. Voltage Regulator
11. Relays
12. Indicating LED

Final Deliverable of the Project Hardware SystemCore Industry SecurityOther IndustriesCore Technology OthersOther TechnologiesSustainable Development Goals Partnerships to achieve the GoalRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	57300
RASPBERRY PI	Equipment	1	19000	19000
LCD MODULE	Equipment	1	800	800
12C MODULE FOR LCD	Equipment	2	450	900
CAMERA 5MP HD	Equipment	1	12000	12000
SERVO MOTOR	Equipment	1	400	400
ULTRASONIC SENSOR	Equipment	1	350	350
USB CABLE	Equipment	1	200	200
POWER SUPPLY	Equipment	1	550	550
BUZZER	Equipment	1	200	200
DRAWING BOARD	Equipment	2	450	900
CONNECTING WIRE	Equipment	1	300	300
SERIAL COMMUNICATOR CONNECTOR	Equipment	1	5000	5000
VERRO BOARD	Equipment	4	300	1200
TRANSPORTAION	Miscellaneous	1	5000	5000
DESIGNING EXPENDITURES	Equipment	1	6000	6000
PRINTING etc	Miscellaneous	1	4500	4500