QR robotic Arranger

dc.contributor.authorahmad hanani
dc.contributor.authorabdalbaset rajab
dc.date.accessioned2026-03-29T10:34:03Z
dc.date.issued2025-07-15
dc.description.abstractRobotic QR Arranger is a cutting-edge automated solution that increases the efficiency of the warehouse using QR codes and image processing to accurately sort and retrieve products. With warehouse automation playing a pivotal role in e-commerce, manufacturing, and distribution, this project reduces human error, accelerates sorting, and optimizes inventory management, making operations more independent and cost effective. The project is significant as it reduces operating costs, enhances accuracy in retrieval, and boosts warehouse productivity through the elimination of manual intervention, hence accelerating processing and minimizing errors. Its integration with robotics enhances efficiency for high-scale inventory management industries. Some of the key characteristics of the project include accurate identification of the product location, seamless integration of computer vision and robotics, simple order placement and tracking using a straightforward interface, and utilization of artificial intelligence to enable improved decision-making. The main objectives are to develop an automated retrieval system, improve the tracking of the stock, reduce human interaction, and integrate AI with robotics. Development work entails system analysis, architecture, image processing algorithm for QR recognition, programming of the robotic arm, and overall testing. While other warehouse automation software exists, Robotic QR Arranger is different in that it uses both QR technology and image processing to gain precise localization, offering a novel and cost-efficient solution for smart logistics.
dc.description.sponsorship--
dc.identifier.citationahmad hanani, "QR Robotic Arranger", An-najah National University, 2025.
dc.identifier.other12043081
dc.identifier.urihttps://hdl.handle.net/20.500.11888/20953
dc.language.isoen
dc.relation.ispartofseries--
dc.supervisorHekmat Darawsheh
dc.titleQR robotic Arranger
dc.typeGraduation Project
person.telephone+972569630981

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