ToolGuard AI: A Monitoring and Inventory Management System

In the construction industry, managing tools and equipment efficiently was critical to ensuring smooth operations, minimizing project delays, and controlling costs. The ToolGuard AI, a monitoring and inventory management system was developed to address tool misplacement, delays, and inefficiencies in construction operations. The main objective of the study was to develop a ToolGuard AI for real-time tool monitoring and inventory management. Specifically, the study focused on technical features, real-time performance, sensitivity in tool identification, SMS notification performance, and acceptability. This employed the Design and Development Research (DDR) method and was evaluated by 30 respondents, including two site managers, one tool keeper, two safety officers, three construction workers, three civil engineers, five electrical engineers, six IT professionals, and eight academic representatives. The ToolGuard AI was composed of a Raspberry Pi, USB camera, GSM module, and Python-based software. Results showed that the ToolGuard AI effectively updated tool status in real time, with system response rates ranging from 80% to 100% during trials. Tool identification accuracy ranged from 70% to 100%, depending on the tool’s shape and clarity. The SMS notification system transmitted updates successfully in 80% to 100% of attempts, with occasional delays due to network issues. Acceptability ratings, measured using frequency counts and mean scores, produced was very acceptable. High ratings were noted in operating performance, safety, and user-friendliness. These findings affirmed that ToolGuard AI is a reliable, practical solution suitable for implementation in construction environments.