Elevated hazards are detected not by the naked eye but proactively identified by OpenMV using AI

Falling object incidents are often caused by small cracks and aging issues that have long been overlooked. Manual inspections are time-consuming, risky, and unable to detect changes in a timely manner. OpenMV proactively identifies hazards on building façades through continuous visual monitoring.

In densely built urban environments with high-rise buildings, aging façades, expanding cracks, or localized spalling—when undetected in a timely manner—can easily lead to safety incidents such as falling objects from heights, posing serious risks to personnel and property.

However, traditional façade inspections primarily rely on manual visual checks or high-altitude operations, resulting in long inspection cycles, low coverage frequency, high operational risks, and inconsistent subjective judgments—making it difficult to meet the requirements for continuous safety supervision. By introducing SingTown’s OpenMV intelligent cameras, façade safety inspections can be upgraded from “intermittent manual checks” to “continuous online visual monitoring.”

The camera can be installed at fixed monitoring points around the building or mounted on lifting devices or inspection equipment to capture images of critical areas of the building’s façade at preset intervals. OpenMV runs edge detection, texture variation analysis, and crack feature extraction algorithms on the camera’s edge side to analyze subtle structural details on the wall surface and compare them with historical images to identify abnormal changes such as crack expansion, surface spalling, and localized damage.

Through the continuous comparison capability of edge-side AI, the system can not only detect “whether an issue exists” but also determine “whether the issue is progressively worsening.” All identification processes are performed entirely on the OpenMV edge device, outputting only key results—such as the location of anomalies and trend information—thereby significantly reducing the transmission requirements for raw image and video data, lowering system bandwidth and storage demands, and providing property management or operations and maintenance units with clear, actionable maintenance decision support.

Leveraging OpenMV’s on-device AI and edge deployment advantages, safety management of high-rise building façades shifts from “post-incident investigation” to “proactive early warning,” effectively enhancing urban operational safety.