As SMT production cycles continue to accelerate and component specifications become increasingly diversified, higher requirements are being placed on identification accuracy and process controllability in the tape splicing process. Particularly under high-mix, low-volume production models, variations in tape width, pitch differences, and subtle discrepancies in marking details make information recognition during splicing a critical factor affecting overall stability.

In traditional manual tape splicing operations, operators typically rely on visual alignment of sprocket holes or component positions. When handling fine-pitch carrier tapes or miniature package components, visual fatigue, lighting variations, and differences in operator experience can all impact alignment accuracy. Especially in high-frequency changeover environments, maintaining consistent manual alignment stability over time is challenging.

To address this process pain point, Youngpool Technology’s self-developed L-900 Auto Splicing Machine is equipped as standard with an intelligent vision system, replacing manual visual inspection with an industrial CCD camera. The equipment adopts an independent motion architecture in which the vision system, measurement unit, and film-taping module operate independently. Structurally, this design helps ensure stability in tape recognition and the overall splicing process. The machine achieves X- and Y-axis repeat positioning accuracy of ±0.01 mm and film placement accuracy of ±0.2 mm, providing a solid mechanical precision foundation for accurate alignment following visual recognition.

Through pitch recognition and correction of the carrier tape via the CCD industrial camera, the L-900 Auto Splicing Machine completes the necessary positional verification and matching prior to film attachment, thereby reducing splicing defects caused by misalignment or specification discrepancies. The equipment supports automatic pitch recognition, large/small component comparison, and silk-screen identification functions, shifting alignment judgment from purely operator experience to system-based objective verification and contributing to improved splicing consistency.

In summary, the intelligent vision system equipped in the Youngpool Technology L-900 Auto Splicing Machine is not merely an image acquisition module, but a process control architecture integrated throughout critical splicing stages. By identifying key tape features and performing positional calibration, the L-900 ensures controlled splicing performance while maintaining structural robustness and motion accuracy. By integrating vision recognition technology into the splicing workflow, Youngpool Technology aims to provide customers with a more stable and intelligent splicing solution, supporting continuity and consistency in SMT production.