Visual-Driven Inspection for Collecting the Status of Fire Safety Equipment Status in Building Spaces
Fangzhou Lin, Zhengyi Chen, Xiao Zhang, Boyu Wang, Jack C.P. Cheng · Kalpa publications in computing · 2025
Installed fire safety equipment within buildings plays a crucial role in ensuring the safety of personnel and minimizing losses. Nevertheless, if not maintained appropriately, these devices may fail to function optimally in emergency situations. As building sizes continue to grow, traditional manual inspection methods encounter significant challenges, including a heavy workload and complex information recording tasks. To tackle these issues, advanced emergency equipment detection frameworks and improvement plans have been put forward. This framework is specifically designed to overcome the problem of remote inspection being unable to accurately locate objects by establishing spatial relationships among devices, cameras, and trajectories. Firstly, the improved detection algorithm is utilized to detect objects of interest. Subsequently, these objects are located through a tracking algorithm and Visual Simultaneous Localization and Mapping (vSLAM). The on-site experimental results clearly show that the framework can effectively solve various types of equipment detection problems in a wide range of complex scenarios and holds great promise for replacing manual labor.