
XINXU GROUP
TunisiePublication : 21 janv. 2026
Automated Weld Defect Detection
- Stage
- 4-6 mois
- Présentiel
- Échéance : 4 févr. 2026
- Computer vision / 3D scanning
- Laser Welding
- Defect Detection
- Signal and image processing
- Intelligence Artificielle / Deep Learning
- Image Classification
- Robotics and Industrial Automation
- Cloud & Real-Time Systems
Description du poste
Create a real-time camera and AI-based system to detect welding defects on production lines.
Components:
- Welding defect study and dataset collection
- Image acquisition pipeline and labeling
- AI model for defect detection and classification
- Operator interface and validation in real environment
Required skills:
- Machine vision, image processing, deep learning, industrial automation
Deliverables:
- Labeled dataset, trained detection/classification models, real-time inference pipeline, operator UI, validation report
📧 Pour postuler: project.management@zbxinxu.com