OLISCAN

Abeer Rawajbeh; Mais Dwaikat

OLISCAN

dc.contributor.author	Abeer Rawajbeh
dc.contributor.author	Mais Dwaikat
dc.date.accessioned	2026-03-16T08:57:25Z
dc.date.available	2026-03-16T08:57:25Z
dc.date.issued	2026
dc.description.abstract	The olive industry is one of the most vital agricultural sectors, and maintaining the quality of olives before processing is essential to ensuring the production of high-quality olive oil. Tra- ditional sorting methods rely mostly on manual labor, are time-consuming and prone to human error, often resulting in quality disparities. Therefore, this project aims to design and imple- ment an automated olive sorting system that improves the accuracy, speed and efficiency of the classification process. The importance of this project lies in its contribution to raising the quality of olive products, reducing human effort, and reducing loss. The system will sort olives in two main stages: first by size, then by color, with the ability to automatically identify and remove damaged olives and leaves. The main objectives of the project are to develop an intelligent, reliable, and affordable machine capable of accurately classifying olives, improving production efficiency, and ensuring the maintenance of consistent quality standards. The working methodology is based on building a physical system (hardware) integrated with sensors and camera modules. Sensors measure the size of each olive, while image processing techniques are used through the camera to detect color differences and identify damaged or unwanted materials. The system control logic will be implemented using a microcontroller to automate the sorting and removal process. Although similar sorting systems exist for fruits and vegetables, the number of specialized olive sorting systems is small, especially in local markets. Hence, this project aims to bridge this gap by providing an automated and economical olive sorting solution that meets regional production needs.
dc.identifier.uri	https://hdl.handle.net/20.500.11888/20925
dc.supervisor	Dr. Hikmat Darawsheh
dc.title	OLISCAN