Elevated hazards are not identified by the naked eye; OpenMV detects them in advance 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 incapable of detecting changes in a timely manner. OpenMV proactively exposes façade hazards through continuous visual monitoring.

In densely built-up urban environments with numerous high-rise buildings, aging façades, expanding cracks, or localized spalling—once undetected in a timely manner—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 critical façade areas at predefined 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 propagation, surface spalling, and localized damage.

With 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 deteriorating.” All identification processes are performed entirely on the OpenMV edge device, outputting only key results—such as the location of anomalous regions and trend information—thereby significantly reducing the transmission requirements for raw image and video data, alleviating system bandwidth and storage pressure, 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, exterior façade safety management of high-rise buildings shifts from “post-incident investigation” to “proactive early warning,” effectively enhancing urban operational safety.