The establishment of Xinyun Technology Co., Ltd. is based on joint technical cooperation leveraging nearly ten years of R&D energy from National Kaohsiung University of Science and Technology, along with the employment of core technical personnel. The company continuously develops virtual tool room technology and has launched smart tool holders, machine-side systems, and inspection systems to assist in the digitization of machine tool tool management, thereby solving the pain points of metal processing operators in the use of cutting tools. Through international patent portfolio layout, quality certification, and product promotion, the company expands and implements the team's existing technologies in the industry, establishing the functional positioning of its products. In the supply chain, by integrating upstream local manufacturers, and under the advantages of cost and the popularization of mass production, it will be able to reach an annual market scale of tens of millions of NTD or more. In addition to promoting domestic economic development, this can further co-create international competitiveness. In the engineering chain, different products can be utilized to meet the needs of processing manufacturers at different stages, thereby providing tool-related information flow. This integrates the engineering drawings of tools, tool holders, and re-manufactured tool suppliers, the automatic recording of the machining history during processing, and the complete comparison of wear after processing, forming an engineering chain for tool processing. This establishes a high-value-added tool service system, which is expected to further enhance the overall value of the tool industry. Utilizing wireless tool holders with built-in sensors, the force changes of each cutting edge of the tool can be dynamically measured, and the force distribution, balance, and maximum torque of each edge can be displayed in real time. During online machining, real-time tool state estimation can be provided through low-cost indirect measurements of current and acceleration. Through artificial intelligence models, the wear state of machining tools can be estimated online in real time. It can record the wear changes of the tool before and after use, providing a basis for tool usability. By using a microscopic CCD to automatically focus on tool features, along with position and angle calibration, it can record the tool wear area and wear amount from different viewing angles of the tool.