Stage Computer Vision - Contrôle conformité des déchets - augmentation des performances
Core
Develop computer vision models to track waste trucks and detect waste spills at Veolia treatment sites using real industrial imagery.
Role type
Intern Computer Vision Engineer
Builds
Truck detection and re-identification models, waste spill detection algorithms
Domain
Waste management / Industrial IoT / Computer Vision
Deliverable
production ML models
Required skills
Deep Learning (TensorFlow, PyTorch), Computer Vision, Python, SQL, Data Analysis (pandas, NumPy, Scikit-learn), Git
Preferred skills
Multimodal models, Scene understanding, Model optimization
Responsibilities
Review literature on vehicle detection and re-identification, Gather business requirements, Implement truck detection and re-identification models, Implement waste spill detection models, Evaluate and optimize model performance
Seniority
Intern (Master 2 or Engineering School)
