Web application to control a swarm of Raspberry Pis with an AI-enabled

Web application to control a swarm of Raspberry Pis with an AI-enabled

Featuring a robotic arm, a real-time dashboard, a deep learning inference engine, 1-click Cloud deployment and dataset labeling tools

A web-based solution to control a swarm of Raspberry Pis, featuring a real-time dashboard, a deep learning inference engine, 1-click Cloud deployment, and dataset labeling tools.


This is the third article of the three-part SorterBot series.


Source code on GitHub:

  • Control Panel: Django backend and React frontend, running on EC2
  • Inference Engine: Object Recognition with PyTorch, running on ECS
  • Raspberry: Python script to control the Robotic Arm
  • Installer: AWS CDK, GitHub Actions and a bash script to deploy the solution
  • LabelTools: Dataset labeling tools with Python and OpenCV

robotics raspberry-pi artificial-intelligence machine-learning deep-learning

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