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Autonomous Seed Interrogator

Top Skills Used
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  • 3-axis gantry control and automation
  • Computer vision
  • Python GUI application development
  • Working in a startup environment

Project Overview
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The Autonomous Seed Interrogator was my first capstone project (ENPH 459). Working in a team of five, we developed a test-bench prototype for the Vancouver-based startup Insporos. The device automates the examination (“interrogation”) of various vegetable seeds using RGB imaging and other sensors to detect diseases and abnormalities. More information about the project’s purpose and scope can be found in our project fair poster:

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My contributions included automating the gantry system, implementing computer vision techniques, and developing a Python GUI software to control the prototype. This project was quite challenging because it was still in the exploratory phase, and so many variables were undefined. Nevertheless, it was a rewarding learning experience becuase I got to collaborate with a startup focused on addressing a real-world agricultural issue.

The seed interrogator in action.