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HVS-3258. Covid-Vaccination Certification verification and access using raspberry pi.
HVS-3258. Covid-Vaccination Certification verification and access using raspberry pi.
HVS-3258. Covid-Vaccination Certification verification and access using raspberry pi.
HVS-3258. Covid-Vaccination Certification verification and access using raspberry pi.
HVS-3258. Covid-Vaccination Certification verification and access using raspberry pi.

HVS-3258. Covid-Vaccination Certification verification and access using raspberry pi.

₹15,000.00

The main aim of this project is to build a raspberry pi based covid app screen monitoring system using image processing and pi camera. App will tell whether the person has been taken two doses or not. If the person takes two doses, green text will be displayed into APP. If a person takes single dose, red text will be displayed into APP.

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The main aim of this project is to build a raspberry pi based covid app screen monitoring system using image processing and pi camera. App will tell whether the person has been taken two doses or not. If the person takes two doses, green text will be displayed into APP. If a person takes single dose, red text will be displayed into APP. APP will update person’s vaccination details into the app automatically. To enter the room user, need to shows the APP screen into the pi camera. Pi camera is uses to monitor the APP screen by using image processing OpenCV.  If the pi camera detects green color text into the APP, this data process to the raspberry pi then raspberry pi generates the signal to unlock the door long with green LED indication. If the pi camera detects red color text into the APP, this data process to the raspberry pi then raspberry pi generates the signal to lock the door and active the buzzer along with red LED indication. The status of the project will display on LCD module. In this we are using servo motor works as door.   In this project we are using python language to write the program. Python is an interpreter, object-oriented, high-level programming language with dynamic semantics. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The processor is programmed in python language which intelligently performs the specific task. Here, the processor gets input from pi camera which is attached to the API port of raspberry pi.

 

The major features of this project are:
  1. Using Raspberry pi zero 2W processor to achieve this task.
  2. Using pi camera and openCV image processing to detect the color text on screen.
  3. Audible alerts using Buzzer.
  4. Visible alerts using LCD display.
  5. Automatic door control based on vaccination doses.
The major building blocks of this project:
  • Power supply.
  • Raspberry Pi3 Processor.
  • SD Card.
  • Pi camera.
  • Servo motor as door.
  • LED indicators.
  • Servo Motor.
  • LCD display.
  • Buzzer.
Software’s used in the project:
  1. Python Programming.
  2. OpenCV Image processing.
  3. Embedded Linux operating system.
  4. Express SCH for Circuit design.
   

   

Block Diagram:  

   

   

video:

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