製造製程自動化通過提供高精度和效率，徹底改變了包括鞋類行業在內的許多行業。本論文開發一套了專為鞋類噴膠製程客製的自動化直線機器人系統。該機器人系統配備噴膠機構，在使用電腦視覺技術產生噴膠軌跡下，將膠水精確地塗抹到鞋材面料上。該系統整合了由微控制器單元控制的硬體元件，包括馬達和噴嘴，以及用於影像處理和運動規劃的軟體模組。採用電腦視覺演算法來分析目標物體的空間配置。這些演算法與軟體模組的整合，有助於生成和優化不同形狀和尺寸工件的軌跡。此外，該軟體還具有存儲功能，可以存儲和調用每個工件的具體形狀和尺寸以供將來使用。.
本研究旨在展示在噴膠應用過程中採用自動化和電腦視覺的可行性和有效性，強調在包裝、汽車和電子製造等行業的潛在應用。實驗結果展示了該系統能夠實現精確且一致的塗膠，有助於提高鞋面噴膠的生產率和品質保證 .

Automation in manufacturing processes has revolutionized various industries, including the footwear sector, by offering unparalleled precision and efficiency. This thesis presents the development and implementation of an automated Cartesian coordinate robot tailored for the footwear manufacturing industry. The robot equipped with a spray glue mechanism, guided by the trajectory generated by computer vision technology, for the precise application of adhesive onto the shoe fabric pieces. The system integrates hardware components including motors, actuators, and a spray nozzle, controlled by a microcontroller unit, with software modules for image processing and motion planning. Computer vision algorithms are employed to analyze the spatial configuration of the target object. These algorithms, integrated with software modules, facilitate the generation and optimization of trajectories for workpieces of varying shapes and sizes. Moreover, the software incorporates memory functionality to store and recall the specific shape and size of each workpiece for future use.
The thesis aims to demonstrate the feasibility and effectiveness of employing automation and computer vision in adhesive application processes, highlighting potential applications in industries such as packaging, automotive, and electronics manufacturing. Experimental results showcase the system's ability to achieve precise and consistent glue application, contributing to enhanced productivity and quality assurance in manufacturing operations.

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