Evaluation Hulling degree of Pulses
Project Scope
Assess the hulling degree of pulse grains to identify any remaining husk, allowing for its removal, thereby facilitating more accurate quality assessment.
Business Challenges
Human inspectors may have differing opinions on what constitutes fully hulled grains or slight imperfections in the hulling process, leading to inconsistent results. Manual inspection is time-consuming.
ARi’s Solutions
Implement a solution in C++ using OpenCV to calculate the hulled degree of pulses grains from image data and transmit these computed values to the frontend for display.
ARi’s Value Proposition
- The same system can be utilized to assess the quality of various pulses
varieties - With the automation of manual inspection, the time required to process
pulses has been significantly reduced
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Case Study
Case Studies
Related
https://www.arigs.com/wp-content/uploads/2025/11/Evaluation-Hulling-degree-of-Pulses.pdf