SPR83: The Intelligent Durian Ripeness Inspection System (iDRIS)

Nur Syarienna Nisha Zakaria Universiti Teknikal Malaysia Melaka

MSC2024 | Startup Product

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The Intelligent Durian Ripeness Inspection System (iDRIS) represents a pioneering solution in the field of fruit quality assessment, specifically targeting the challenging task of determining the ripeness of durian fruit. Leveraging advanced Convolutional Neural Network (CNN) algorithms, iDRIS offers a highly accurate and reliable method for classifying durian ripeness levels. Through the analysis of durian images captured by integrated sensors, iDRIS can effectively differentiate between varying degrees of ripeness, delivering exceptional accuracy rates of up to 97.5%. This innovative system not only streamlines the inspection process but also ensures consistent and objective assessments, reducing the reliance on subjective human judgment. With its robust performance and precise classification capabilities, iDRIS has the potential to revolutionize durian quality control practices across the agricultural and food industries. By providing a dependable solution for assessing durian ripeness, iDRIS aims to enhance productivity, optimize harvesting processes, and ultimately improve the overall quality of durian products.