Non-invasive ripeness monitoring of produce
Primary Investigator (PI) Name
Muhammad Hassan Tanveer
Department
SPCEET - Robotics and Mechatronics Engineering
Abstract
This project is developing a module that can be appended to an autonomous ground robot capable of wireless, non-invasive ripeness monitoring of fruits and vegetables. This module, named "Triton," leverages the impermeable nature of 5GHz radio frequencies (RF), and water to determine the ripeness of produce. To achieve this, a focused broadcast of empty data packets are directed at a fruit or vegetable. From this, the reflected radio waves are intercepted and compared to the initial amplitudes of the broadcast; determining changes in the peak amplitude and phase angles. By utilizing MATLAB and comparing the results to the mean data collected across all cataloged fruits and vegetables, a reasonable estimate of the produce's percentage water content can be deduced. Using the measured water content applied to approximate the ripeness of the produce.
Disciplines
Robotics | Signal Processing
Non-invasive ripeness monitoring of produce
This project is developing a module that can be appended to an autonomous ground robot capable of wireless, non-invasive ripeness monitoring of fruits and vegetables. This module, named "Triton," leverages the impermeable nature of 5GHz radio frequencies (RF), and water to determine the ripeness of produce. To achieve this, a focused broadcast of empty data packets are directed at a fruit or vegetable. From this, the reflected radio waves are intercepted and compared to the initial amplitudes of the broadcast; determining changes in the peak amplitude and phase angles. By utilizing MATLAB and comparing the results to the mean data collected across all cataloged fruits and vegetables, a reasonable estimate of the produce's percentage water content can be deduced. Using the measured water content applied to approximate the ripeness of the produce.