On November 7, 2026, the finals of the 31st InnoServe Awards, a competition in information application and service innovation for colleges and universities, took place at the National Taiwan University Sports Center. Two projects from iCPS Lab in the Department of Electronics Engineering at National Kaohsiung University of Science and Technology won awards: the smart knee reflex quantification system took second place in the Information Applications category (IP7), and the iSLM surgical instrument recognition and training platform received an honorable mention in the Industry-Academia Collaboration category.
The second-place project, "Smart Knee Reflex Quantification System Based on Edge AI and Multimodal Sensing," was jointly developed by iCPS Lab and Professor Ying-Nien Chou of National Chung Cheng University. It combines multimodal sensing and edge AI to measure, record, and analyze knee reflexes on one platform. This allows results from different measurement sessions to be compared using a consistent procedure.
The honorable mention went to "iSLM: AI Surgical Instrument Recognition and Training Platform," developed with support from Taiwan Adventist Hospital in Taipei. The team incorporated AI image recognition into surgical instrument instruction so newly hired nursing staff can practice identifying different instruments. The platform serves as a supplementary tool for operating room training.
This year's competition drew 1,982 team registrations from 149 colleges and universities across Taiwan, with 9,870 instances of participation in total. We congratulate both student teams and thank Professor Ying-Nien Chou and Taiwan Adventist Hospital for helping the students turn research ideas into working systems that address practical needs in health measurement and nursing education.