Evaluation of Broken and Whiteness
Home Case Studies Evaluation of Broken and Whiteness
Project Scope
Evaluate the size and quality of rice by detecting broken grains and measuring their whiteness.
Business Challenges
Manually checking rice can be time-consuming and not practical for large-scale operations, making it difficult to maintain quality control. Manual inspection often leads to variability.
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
Case Studies
Related
https://www.arigs.com/wp-content/uploads/2025/11/Evaluation-of-Broken-and-Whiteness.pdf