Elevated hazards are identified in advance by OpenMV’s AI—not by the naked eye

Falling object incidents are often caused by minor 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 façade hazards through continuous visual monitoring.

In densely built-up urban environments with numerous high-rise buildings, aging façades, expanding cracks, or local 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 key façade areas at preset intervals. OpenMV runs edge detection, texture variation analysis, and crack feature extraction algorithms on the camera’s edge side to analyse subtle structural features on wall surfaces and compare them with historical images to identify abnormal changes such as crack propagation, surface spalling, and local damage.

With the continuous comparison capability of edge 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 locations of anomalies and their trend of change—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-making support.

Leveraging OpenMV’s on-device AI capabilities 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.