Introduction: OBJECT DETECTION FOR AUTONOMOUS VEHICLES ON BRAINY PI

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About: Hey there! I'm Vishal, a fourth-year student at Netaji Subash University of Technology in New Delhi. I'm majoring in Electronics and Communication Engineering, with a specialization in Artificial Intelligence …

BRAINY PI


Brainy pi is a full hardware and software solution. It will provide enterprise grade stability and support the software stack to keep it bug free, so people can easily build quality solutions on top of it.

In this project, we have implemented a object detection system on Brainy Pi. Here, all the steps are given for implementing it on Brainy Pi.

Brainy pi official website: BRAINY PI

For code and files of this model : GITHUB REPO. LINK

Supplies

BRAINY PI

Step 1: Remote Connection to Brainy Pi

  • Secure a remote connection to the brainy pi using this command,
ssh -X pi@auth.iotiot.in -p 65530
  • After entering the given password, a remote connection is established on the terminal.

Step 2: Cloning the Git Repository

  • The next step is to clone the git repo of the project for running the python script, the command for it is as follows,
git clone https://github.com/vishalmalikhax0r/Autonomous-Vehicle-Detection.git

Step 3: Run Model for Object Detection

  • First, we need to install tensorflow
pip3 install tensorflow
  • Execute the inference file -
python3 inference.py
  • The vehicle is detected and highlighted using squares.

Step 4: Output Images Saved in Output Folder