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Automated Feature Recognition Laser Marking Machine for Assembly Lines


Release time:

2025-12-02

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Laser marking is currently one of the most widely applied marking processing methods. Patterns or text engraved by laser exhibit excellent texture and are permanently indelible, frequently used on products such as packaging, advertising materials, cables, and consumer electronics. Laser marking is suitable for both large-scale factories and small workshops, though different processing requirements necessitate distinct laser marking equipment.

 

In assembly line conditions, laser marking processing imposes specific requirements on the control system. As the core control unit of the laser marking machine, the control system adjusts parameters such as laser power, pulse width, processing patterns, and processing methods by outputting pulse signals. Operators initiate processing by issuing commands through the control system, which then operates autonomously to achieve unmanned, intelligent processing.

 

Assembly line laser marking can utilize either standard laser control systems or vision-based laser control systems.

 

When employing a standard laser control system without vision recognition in an assembly line environment, fixed fixtures for processing objects are required on the line. Consistent loading intervals between batches must be maintained to ensure each object is positioned identically for processing. Otherwise, errors are likely to occur. Such control systems are typically used for relatively simple laser marking tasks and necessitate dedicated personnel supervision.

 

When employing a vision-based laser marking control system, one with feature recognition capability is recommended. Feature recognition identifies processing targets by analyzing material characteristics such as shape, color, or markings, enabling precise marking initiation.

 

The benefits of feature recognition include high intelligence, flexible processing methods, and rapid processing speeds. Equipping a laser marking control system with feature recognition allows materials to be placed randomly on the production line. The system automatically identifies objects requiring processing and completes the task, saving labor, enhancing automation, and accelerating processing efficiency.

Naturally, vision-based laser marking control systems with feature recognition carry a higher price tag. When factoring in additional hardware like cameras and sensors, the overall deployment cost significantly exceeds that of standard laser marking systems. Post-installation maintenance also tends to be more complex. Therefore, the choice of laser marking control system should be based on specific operational conditions and actual processing requirements.

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