Machine Vision Platform Development / Students Projects
Machine Learning and first documentation
In 2023, during his first year of training, Alexis CORBILLET (2025 promotion) worked with five others classmates on the beta version of the machine vision bench.
They worked on hardware part to develop a sorting system, but also on a software able to interact with users and process images from an IDS sensor to detect the color and the shape of the pieces to sort. Their system was based on Machine Learning algorithm.
The entire documentation of their application was written by Alexis using Sphinx : https://alex6crbt.github.io/Industrial_Vision/
The GitHub repository https://github.com/Alex6Crbt/Industrial_Vision was also developed by Alexis for his own training on GitHub processes. This repository and its documentation served as a basis for setting up this first LEnsE technical repository.
Alexis was helped by Olivier LEVEQUE, researcher at ONERA, the French Aerospace Lab.
Students Projects year by year
In this section, most advanced projects realized by students team during their engineer training are presented. You have access to their technical report and some of their codes.
Warning
The use of these contents is free and unrestricted in compliance with current legislation, particularly ensuring the maintenance of the source attribution as specified below:
‘Source lense.institutoptique.fr / LEnsE / IOGS / France’.
You also have to mention the names of the students working on this project.
Note
Reports and codes were reviewed but not corrected by their authors. Read these reports and use these codes with indulgence and kindness.
2022-2023
Project 1 - Semester 6
This project was realized by Jade BARRET, Adrien BACHMEYER, Alexis CORBILLET, Maurice MANNONI, Charley THOM and Khalid LAHBABI.
Project 2 - Semester 6
This project was realized by Thomas GABILLET, Julien GARNIER and Aboubakar BAYERO.
Project 3 - Semester 8
This project was realized by Léa BRITO, Clara SONCIN, Lucile TILLOY and Simon MILCENT.