实习生

Responsibilities

• Participate in the design and implementation of visual inspection solutions for surface defects on painted parts (e.g., bubbles, orange peel, scratches, paint clumps, color differences).
• Design camera motion paths and lighting systems based on the structural characteristics of CT tank inner/outer walls to ensure comprehensive inspection coverage.
• Develop defect recognition algorithms based on image processing or deep learning to improve inspection accuracy.
• Support automatic recognition and comparison of product nameplates, adapting to multi-batch and multi-style nameplate inspection requirements.
• Implement automatic photo/video capture and intelligent comparison with factory product standard samples.
• Collaborate with quality engineers and equipment engineers to complete system integration and on-site commissioning, and write technical documentation recording experimental data and algorithm optimization processes.
• Ensure compliance with applicable internal and regulatory rules, procedures, and guidelines.
• Uphold Hitachi Energy's core values of safety and integrity, taking responsibility for your actions while caring for colleagues and the company.

Must Have

• Bachelor's or master's degree in Software Engineering, Electronic Information, Intelligent Manufacturing, Information Management, or other related fields.
• Familiar with Python/C++, knowledge of OpenCV, Halon, VisionPro or similar vision libraries; basic image processing knowledge.
• Proficient in office software, familiar with machine vision related programming.
• Outgoing and rational personality, with strong organizational and communication skills.
• Basic English reading and writing.

Preferred

• Experience in machine learning/deep learning projects is preferred.
• Knowledge of industrial cameras, lighting, and motion control is preferred.