About Me
Name : Sergejs Zapivalovs
Email : sergejzapivalovs@gmail.com
Degree : Bsc Computing in Software Development
Class : SD4b
Team : Cinq Amis
App : LabelTech
Roles : Hardware, Machine Learning
Application Overview
LabelTech is a web app used to spot manufacturing label issues due to human error. It uses a camera and smart image analysis system to scan for incorrect labels of various products. The app provides admins and users to spot incorrectly labeled products by comparing the human input data label to the correct data in the database. Our goal is to correct human error and finds ways to allow for a more seamless factory line system. Our software system is planning to provide the best quality assurance of on-the-shelf goods and items for manufacturers.
Application Features
Automatic Detection
Real-time Image Analysis
Instant Feedback
Error Notifications
User Roles & Permissions
My Goals
- Complete tasks on time and be part of an efficient agile team.
- Learn to work with hardware and be able to integrate it into our project.
- Have a fully tested and trained machine learning model that will be able to detect label errors with high accuracy.
- Would love to get user feedback from actual users like line leaders and administrators to identify any potential areas of improvement after deploying the project.