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.

• Part 1 — General project description and the Web Application
• Part 2 — Controlling the Robotic Arm
• Part 3 — Transfer Learning and Cloud Deployment

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

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