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HVS-3269. Guest Greeting and Guiding Robot.
HVS-3269. Guest Greeting and Guiding Robot.
HVS-3269. Guest Greeting and Guiding Robot.
HVS-3269. Guest Greeting and Guiding Robot.

HVS-3269. Guest Greeting and Guiding Robot.

₹16,000.00

The main aim of this project is to design a guest greeting and guiding robot using raspberry pi and it gives the practical solution to the problem of designing and implementing a human–robot team for simple conversational interactions. Awareness of time is particularly important because people have a low tolerance for long pauses in conversation.

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The main aim of this project is to design a guest greeting and guiding robot using raspberry pi and it gives the practical solution to the problem of designing and implementing a human–robot team for simple conversational interactions. Awareness of time is particularly important because people have a low tolerance for long pauses in conversation. Robot receptionist is an automated robotic reception system that takes the role of a receptionist and guides the incoming visitors by queuing them to their respective destinations by following the lines.   This robot consists of pi camera to recognize the face using image processing. This robot takes the persons to their selected destination by following the lines. The robot greets a known person. If the robot recognizes unknown person it will asks to select a destination if it is an unknown person. This robot consists of push buttons to select the destination like class room1, class room 2 and lab1, lab2. This robot consists of voice module to gives the voice output. This robot consists of ultrasonic sensor to detect the obstacles in its path. If the robot detects the obstacle, it will stop automatically.   The device which is able to perform the task is a Raspberry Pi processor. To perform this task, Raspberry Pi processor is programmed using embedded ‘Linux’.

 

The objectives of the project are:
  1. Capturing of Person images using pi camera.
  2. Voice based assisting system.
  3. Obstacle detection using ultrasonic sensor.
  4. Design a Line following robot to greet and guiding the persons at colleges.
  5. IR sensor-based line following system.
  6. Raspberry pi and Pi camera-based face recognition.
The project provides learning’s on the following advancements:
  1. Learn about Image processing Technology.
  2. Raspberry pi working and programming.
  3. Interfacing pi camera to the raspberry pi.
The major building blocks of this project are:
  • Battey Power supply.
  • Raspberry pi3.
  • SD card.
  • Pi camera.
  • Push buttons.
  • IR sensors.
  • Ultrasonic sensor.
  • DC motor with l293d motor driver.
  • Speaker.
Software’s used:
  1. Python language.
  2. Linux OS.
  3. Express SCH for Circuit design.
   

   

Block Diagram:    

 

  video:

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