Bonyad Meli Nokhbegan Project
Development Team :
Mobina Mosannafat
Fatemeh Taherinezhad
Amir Hossein Khodabandelo
Amir Hossein Babaeayan (Head)
Research Team :
Mahsa Bahrami
Arash Ghorbani
Ali Javidani (Head)
Supervisor :
Dr, Hassan Khotanlo
Last Update : 04-08-2021
This application is a UI for better work with image processing algorithms (Foreign object detection and Level detection)
This program is implemented with the help of PyQt5 Library and by QT creator platform in python
The program has five parts:
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Main Page: In this part, you can see the daily statistics of pass and fail of products and condition of the devices. Also, at any moment, the original product and its ditected image are displayed with the status of the pass or fail, And if the level is detected, its percentage is displayed.
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Statistics page: This page has 3 parts: A)Main part where daily statistics are displayed in the form of two graphs. B)A page for statistics by product type. C)A time-based statistics page that also includes a bar chart.
3.DataBase page: On this page, you can edit user and product information, as well as add a new user or product or user or delete them.
4.Settings: To edit user information by the factory manager and select the product and algorithm to be produced on the production line, go to this page.
5.Help page: Contains information for working with the application
A number of Python packages and MySQL workbench
Run the program with the following command line and then enter enter a username and password that exists on the database in the login page.
python index.py