Intern - Computer Vision Engineer - F/H/N - Remote

Overview

This internship focuses on the automatic detection of differences between real images and reference models to identify non-conformities for quality control in an industrial context.

In Short

• Conduct a literature review on image difference detection methods.
• Participate in developing an automatic defect detection solution.
• Train and optimize deep learning models for precise localization of non-conformities.
• Write a detailed report and possibly an article on methodology and results.
• Implement various representative methods for image difference localization.
• Prepare and process necessary datasets.
• Evaluate and compare methods based on precision, robustness, and speed.
• Document work and assist in writing the final internship report.
• Engage in innovative R&D activities.
• Collaborate with talented individuals from diverse backgrounds.

Requirements

• Final year engineering student or Master's student with a specialization in computer science, computer vision, AI, or image processing.
• Strong foundation in Python and machine learning/deep learning.
• Familiarity with libraries such as PyTorch, TensorFlow, and OpenCV.
• Interest in industrial applications and product quality.
• Ability to analyze research articles and structure experimental benchmarks.
• Autonomy, rigor, and synthesis skills.

Benefits

• Participate in a recognized great workplace with a focus on well-being.
• Encouragement of innovation through R&D.
• Commitment to responsible digital practices.
• Access to training and mentorship from experienced professionals.
• Flexible working arrangements including remote work.
• Additional benefits such as meal cards and paid absences.