Automatic Human Follower Trolley using Raspberry pi

Nowadays in Metro cities, People face a lot of problem in supermarkets to buy things using trolleys. Every time we need to push the trolley to the bring the trolley to the place where the object required by us is present. Imagine that there is a trolley which will follow you continuously wherever you go to the malls and grocery stores and carry the things you buy. Through this project, you are going to build an Autonomous trolley which will follow the particular human using Image Processing.

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You will need a Raspberry Pi 3 board for interfacing microcontroller with IR Sensors, DC Motors, and Camera. Whenever a human takes a trolley, the trolley will take picture using camera attached to it. Now through Image processing technique, the microcontroller will continuously compare the live image of the human image with the previously taken image through the camera. You will programme the microcontroller in such a way that whenever the human movement, the trolley also moves. This can be done by interfacing microcontroller with DC motors.

Autonomous trolley using Raspberry pi - Project Description:

1. Camera: To capture the image of the human and to continuously compare that image with live human image.
2. Raspberry Pi: This will act as the microcontroller for the project and all the other sensors will connected to it.
3. DC motors: These motors works with DC power as name indicates itself. So these motors will convert the DC Electric power in Rotating Mechanical Power.
4. IR Sensor The component we use to find whether there is an obstacle in the path in which our trolley is going are IR sensors (Infrared).
5. Motor Driver: Generally the Arduino board is not capable of providing the required amount of current for running the motors. So we use a device called Motor Driver which will provide sufficient current for driving the motors.

Project Implementation:

1. First, you will attach a camera to the trolley
2. Then you will interface the Camera, DC Motors and IR Sensors with Raspberry Pi
3. Upload the code into Raspberry Pi
4. Test the trolley

Programming language: Python Programming (C)

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• Camera
• Raspberry pi
• Raspberry Pi
• DC motor
• IR Sensor
• Motor Driver

• Automation
• Smart Shopping
• smart trolley
• Infrared Sensor
• Raspberry Pi
• iot

Automatic Human Follower Trolley