Evaluation of Shine, Smoothness, and Whiteness

Project Scope

Assess the quality of rice by evaluating its shine, smoothness, and whiteness characteristics.


Business Challenges

Traditional methods rely on human visual inspection, which can be subjective and inconsistent. Different inspectors may have varying perceptions of shine and smoothness


ARi’s Solutions

Implement a solution in C++ using OpenCV to calculate the shine, smoothness, and whiteness of rice grains from image data, and transmit these computed values to the front-end for display.


ARi’s Value Proposition


  •  The same system can be utilized to assess the quality of various rice

    varieties

  • With the automation of manual inspection, the time required to process rice

    has been significantly reduced


Download
Case Study

Download Case Study

Case Studies

Related

Prototype Built & Integrated Powerpack for Military Vehicle

2016

Cop Testing on Engines for Construction Equipment

2017

Tear Down Analysis of Construction Equipment

2019

Design and Development of Radiator Plugging Bench

2021

Scissors Lift – Software Development & Validation

2021

Unit Testing – Platform

2021

Genset Packaging

2021

Automation UDS Service Tool

2021

https://www.arigs.com/wp-content/uploads/2025/11/Evaluation-of-Shine-Smoothness-and-Whiteness.pdf