Abstract: In the context of rapid advancements in intelligent manufacturing technology, the automation and intelligence of CNC machining equipment have emerged as critical factors in enhancing manufacturing productivity. However, conventional tool installation and removal processes remain heavily reliant on manual operations, resulting in low operational efficiency, insufficient torque control accuracy, and a high risk of tool damage. These limitations significantly hinder the continuous and efficient operation of CNC production lines. To overcome these challenges, this study presents a dedicated automated system that integrates automatic tool identification, precise positioning, and controllable-torque assembly and disassembly functions. The system employs a machine vision module as the core positioning unit, integrated with a servo-driven mechanical actuation mechanism and a closed-loop torque control system, enabling fully automated engagement and separation of BT40 and BT50 series tool holders and cutting tools. Experimental results demonstrate that the proposed system reduces the cycle time for a single tool change to under 30 seconds, achieves a torque control deviation within ±2%, and maintains zero tool damage over 1000 consecutive operations. These outcomes highlight significant improvements in both operational efficiency and process reliability, offering a practical solution for advancing tool management automation in intelligent manufacturing environments.