Raspberry Pi based Vehicle Number Plate Recognition

Degree / Diploma Engineering Project

Project code : KL-246

Available : Ready Project | DIY Kit | Online Training
Kits Delivery : 5-7 Working days
Training Duration: 60 Hours (3 members / Project group)

Ready Project :   Rs. 8850
DIY Project Kit :  Rs. 8850
Project Training :Rs. 5500

Details

Recognizing vehicle number plates is a difficult but much needed system. This is very useful for automating toll booths, automated signal breakers identification and finding out traffic rule breakers. The aim of the project is to recognize the number plate of vehicle which passes through system and capture image by camera automatically by using raspberry pi. When number plate is recognized at that time gate will be opened and when number plate is not recognized gate will remain closed.

Here we propose a Raspberry Pi based vehicle number plate recognition system that automatically recognizes vehicle number plates using image processing. The system uses a camera along with LCD display circuit interfaced to a Raspberry pi. The system constantly processes incoming camera footage to detect any trace of number plates. On sensing a number plate in front of the camera, it processes the camera input, extracts the number plate part from the image. Processes the extracted image using OCR and extracts the number plate number from it. The system then displays the extracted number on an LCD display. A gate operation is done by driving a dc motor, Thus we put forward a fully functional vehicle number plate recognition system using Raspberry Pi.

Hardware Tools

Software Tools

·        Raspberry Pie 3

·        Micro SD CARD 16GB

·        USB Camera 5MP

·        L293 Motor driver

·        DC Motor

·        LCD display 16x2

·        3.3 V Regulator

·        +12V/3A Power supply

·        Buzzer

·        LINUX Os & Python Compiler

·        Programming Language - Python,  Open CV

 

 

 

DIY Project Kit includes :
  • One set Ready working Project Kit.including all PCBs, Sensors &modules.
  • One set unsoldered PCB + One set loose components to be soldered in PCB, sensors & modules to be used from ready project set.
  • Full Documentation includes a brief project report,circuit diagram, PCB layout, Simulation circuit, Power point presentation &Testing documents etc.
  • All software set up file with programme code file & Hex file.
  • A Brief procedure on project assembelling.
  • A Brief procedure on soldering the components in PCB.
  • A Brief explanation on project testing & working.
  • Micro-controller circuit with PIN explanation.
  • Details on all Major/Minor components of project.
  • Programming Tutorial for more practice on interfacing ofvarious sensors and modules.
READY Project Kit includes :
  • One set Ready working Project Kit.including all PCBs, Sensors & modules.
  • Full Documentation includes a brief project report,circuit diagram, PCB layout, Simulation circuit, Power point presentation & Testing documents etc.
  • All software set up file with programme code file & Hex file.
  • A Brief explanation on project testing &working.
  • Micro-controller circuit with PIN explanation.
  • Details on all Major/Minor components of project.
  • Programming Tutorial for more practice on interfacing of various sensors and modules.
Online Project Training :
  • This online training packages includesall the features offered in DIY Project Kit.
  • One set of DIY Project kits includeing all above mentioned documents.
  • Online project training will be conducted by expert(s) with 25+ years of industrial experienced.
  • One to One interactive training sessons will be held through Team Viewer/Zoom/SkyPe.
  • In and above, the programme consists 60 hours of extensive training sessions.
  • Each sesion will be two hours of time duration in a day during online training.
  • Online training schedule would be optional from 1 day/2 day/3 day in a week.
  • All video conference sessions will be organised separately for each Project / group.
  • One to One interaction &guidance will be provided to each membes in a group.
  • Maximum 3 members per project/group are allowed in online training sessions.
  • The extensive training materials will be provided in time to time during online session.

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