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COATL-RADAR

2025 ECE 412/413 COATL-RADAR PROJECT

Green Coffee Bean Moisture Content Detection Using 60GHz Radar Module

Team:

Chris Kane-Pardy

Kamal Smith

Henry Sanders

Wallace Mckenzie

Software:

A121 Binary File

Acconeer Provided File for Flashing Firmware to New XE125 EVK Radar Module

A121 Exploration Tool Connection

Initial Test Programs to Interface with Acconeer A121 Exploration Tool Through Python

Data Collection

Consistency Testing

After Deciding Against Calculating Permittivity, We Created These Programs, Which Attempted to Mitigate Inconsistencies in Results due to Bean Geometries

Datasets

Collected Datasets for Use in Machine Learning

Permittivity Calculations

Original Test Programs, Which Aimed to Determined Moisture Content by First Calculating Permittivity from Acconeer "IQ" Data

FullAverageScan (Green Coffee)

Final Program Version Which Utilizes Several Averages and Captures the Entire Waveform of the IQ Data Scan

FullAverageScan (Roasted Coffee)

Final Program Version With Modified Settings Aimed at using Ground Roasted Coffee

Machine Learning

Preliminary Testing

Original Exploratory Machine Learning Programs

Experimentation Variants

3 Separate Versions of the Base Machine Learning Program (Chris, Kamal, & Henry), Which We Used to Test and Compare Accuracy Across Different Settings

Final Machine Learning Program with Live Testing

The Final Version of Our Machine Learning Program

Stepper Motor

Outdated Programs for Interfacing ESP32 to Stepper Motor Using I2C for Bean Rotation

Documentation:

Acconeer Documentation

-Acconeer A121 Radar Datasheets

-Acconeer XE125 EVK User Guides

-Acconeer Exploration Tool Documentation

-Acconeer Lens Kit Documentation & Data Sheet

Administrative (Team Organization)

-Weekly Progress Reports

-Team Meeting Notes

Datasheets

Miscellaneous Datasheets from Abandoned Components

Research Documents

COATL-RADAR Research Documentation

Documents Compiled by the Team Throughout Our Process Which We've Deemed Useful Starting Points

Machine Learning Research (Mark Martin)

Brief Introduction to Machine Learning Provided by Our Wonderful Industry Sponsor (Dr. Mark Martin)

Optics Research

Documents Focusing on the use of Lenses in Radar Applications (Brief Research from Wallace)

Research Articles (Dr. Joshua Mendez)

Contains Research Papers Provided by Our Industry Sponsor (Dr. Joshua Mendez)

Test Documentation

Test Results, Intermediate Procedures, and Various Methods We Attempted Throughout the Course of the Project

3D Printed Prototype

Testing Results Utilizing PETG/PLA 3D Printed Test Device

Medium Metal Device Testing

Testing Results Utilizing Medium-Sized Aluminum Test Device

Metal Device Testing

Testing Results Utilizing Large Aluminum Test Device

Thin Metal Device Testing

Testing Results Utilizing Thin Aluminum Test Device

3D Modeling

V1.1

Contains Original 3D Printed "Spider" Prototype for Testing Rotation

V1.2

Contains Modified 3D Printed "Spider" Prototype with Updates

V2.1

Contains "Christmas Tree Stand" to Hold Metal Tube Flush w/ Lens for Shielding and 0 Intereference

Assigments:

Contains All Course Deliverables

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COATL-RADAR Capstone ECE 412/413 Winter/Spring 2025

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