Supervisor

Mikhail Timofeev

Programme

BSc (Hons) in Computing in IT

Subject

Computer Science

Department

Computer Science

Abstract

The present document explores the use of machine learning techniques, specifically supervised learning and classification. It applies those techniques to create a solution for a real world company that provides medical products and services to hospitals. This project will deal with streamlining the calibration of medical weighing scales. The developed application will use object detection and character recognition to identify and classify a digital image of a scale’s tag, and fill in a form with the corresponding data. The main reason for the need of this application is to avoid human errors and automate the collection of data from the scales.

Date of Award

Fall 2020

Full Publication Date

December 2020

Access Rights

open access

Document Type

Undergraduate Project

Resource Type

bachelor thesis

Comments

BSc in IT Y3

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