Scania
Advanced Computer vision system R&D intern
RESPONSIBILITIES
岗位职责
- Research the visual characteristics of paint surface defects (e.g., scratches, sags, orange peel, impurities) according to Scania's quality
REQUIREMENTS
任职要求
- , exploring methods from traditional image processing to deep learning (e.g., segmentation, detection networks).
- Set up a simple experimental environment to test algorithms and compare performance on collected paint surface images.
- Assist in building a small-scale dataset of paint defect images and participate in formulating annotation standards.
Requirements
- Current postgraduate or PhD student in Computer Science, Automation, Image Processing, or a related field.
- Proficient in Python/C++, with hands-on experience in image processing libraries such as OpenCV and PIL.
- Preferred Qualifications: Experience in defect detection, industrial vision, or related projects/competitions; familiarity with tools such as Halcon or VisionPro.
- Possess the independent capability to set up optical imaging systems.
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