High-altitude hazards are detected not by the naked eye but in advance by OpenMV using AI.

Falling object incidents often stem from minor cracks and aging issues that have long been overlooked. Manual inspections are time-consuming, risky, and incapable of detecting changes in a timely manner. OpenMV proactively reveals façade hazards through continuous visual monitoring.

In urban environments with a high density of tall buildings, aging façades, expanding cracks, or localized spalling—once undetected in time—can easily trigger safety incidents such as falling objects from height, 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 of continuous safety supervision. By introducing SingTown’s OpenMV intelligent cameras, façade safety inspections can be upgraded from “intermittent manual inspections” 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 key façade areas according to a preset schedule. OpenMV runs edge detection, texture variation analysis, and crack feature extraction algorithms on the camera’s edge side to analyze subtle structural features on wall surfaces and compare them with historical images to identify abnormal changes such as crack propagation, surface spalling, and localized damage.

Leveraging 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 continuously deteriorating. All identification processes are performed entirely on the OpenMV edge device, with only critical results—such as the location of anomalies and trend information—being output. This significantly reduces the transmission requirements for raw image and video data, thereby 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 has shifted from “post-incident investigation” to “proactive early warning,” effectively enhancing urban operational safety.