Lab Inventory Management using QR Code

Abstract

Laboratory inventory management is vital for the efficient operation of scientific research institutions. Conventional inventory tracking methods often involve manual data entry, which can be error-prone and time-consuming, leading to operational inefficiencies and potential research disruptions. To address these challenges, this project introduces a Lab Inventory Management System (LIMS) that leverages QR code technology. The LIMS assigns unique QR codes to each laboratory item, encoding critical information such as item name, quantity, and expiration date. This technology enables mobile devices equipped with QR code scanners to facilitate real-time updates, eliminating manual data entry errors and ensuring the accuracy of inventory information. Furthermore, a centralized database supports data integrity and enables seamless integration with existing laboratory systems. The project's advantages include enhanced accuracy, significant time and cost savings, and streamlined workflow efficiency. However, the successful implementation of the LIMS necessitates careful planning and comprehensive user training to ensure a smooth transition to this innovative inventory management solution. Key Words: Automated, Scientific Research, Data Integrity, Data Visualization, Barcode Scanning