Automated Data Entry Through Image-Processing for Advanced Medical Inventory

Automated Data Entry Through Image-Processing for Advanced Medical Inventory

Aditya S. Thorat1, Sumit Thakur2, Sanket Solanke3, Mayur Tidke4, Aradhana Pawar5

1, 2, 3, 4Students, 5Guide, Department of Computer Engineering, Dr. D. Y. Patil College of Engineering and Innovation, Varale, Talegaon Dabhade, Pune, Maharashtra, India.

Abstract: There’s a new Artificial Intelligence (AI) model that aims to change how data entry is done by precisely recognizing and extracting important information from bill images. This model extensively processes visual data using the solid functionalities of Tesseract OCR and OpenCV, transforming it into a structured format that can be utilized for smooth data entry. The addition of this feature to our existing application “Advanced Inventory for Medical Distributors (AIMD)” improves on its use beyond the medical field. Integration of this technology guarantees increased efficiency in data entry across different sectors significantly quickening the process of information retrieval with accuracy being maintained. The ability of this model to turn complex visual data into readily available digital information is a major leap forward in automated data management which has far reaching implications for simplifying operational workflows.

Keywords: AI Model, Optical Character Recognition (OCR), Document Image Processing, Structured Data, Automated Data Management, Bill Image Analysis.