Elevated hazards are not identified by the naked eye; OpenMV detects them in advance using AI

Falling object incidents are often caused by small, long-ignored cracks and ageing issues. Manual inspections are time-consuming, high-risk, and unable to detect changes in a timely manner. OpenMV proactively identifies façade hazards through continuous visual monitoring.

In urban environments with a high density of tall buildings, ageing façades, expanding cracks, or local spalling—when not detected promptly—can easily lead to 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 Technology’s OpenMV intelligent camera, 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 device to analyse subtle surface structures of walls and compare them with historical images to identify abnormal changes such as crack propagation, surface spalling, and local damage.

Leveraging 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, with only critical results—such as the location of anomalous areas 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-making support.

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