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GithubThe fact that solar panels “appear to be fine” does not necessarily indicate normal power generation efficiency. Local shading and dust accumulation often persist for extended periods yet remain difficult to detect. OpenMV enables photovoltaic operation and maintenance to no longer rely entirely on manual inspections.

During the operation of photovoltaic power plants, foreign substances such as dust accumulation, fallen leaves, and bird droppings on the surface of photovoltaic panels directly reduce light absorption efficiency, leading to decreased power generation; over time, these issues may even accelerate component aging and shorten equipment service life.
For large-scale photovoltaic arrays, relying on manual inspections is not only inefficient but also makes it difficult to promptly detect localized anomalies. Using SingTown’s OpenMV intelligent cameras enables long-term, stable visual monitoring of photovoltaic panel operational status, achieving automatic identification and timely handling of foreign object issues.
The camera can be securely mounted on a support structure to cover multiple photovoltaic module areas and continuously capture images of the photovoltaic panel surfaces. OpenMV performs edge-side processing by using a region segmentation algorithm to delineate the effective operating areas of the photovoltaic panels, and automatically detects anomalies such as abnormal dust accumulation, leaf obstruction, or localized contamination through foreign object feature recognition and status comparison analysis.
By comparing the current image with the normal state, the system identifies abnormal areas affecting power generation efficiency and outputs the detection results. These results can directly trigger cleaning equipment, operation and maintenance systems, or alarm modules at the edge side, enabling immediate action upon detection without uploading large volumes of image data to the cloud.
Leveraging OpenMV’s edge computing capabilities and low-power design, this solution is particularly suitable for long-term deployment in large-scale, distributed photovoltaic scenarios.

AI Sentinel Based on OpenMV: Automatic Alert for Unlocked Key Locations
Automatically detects whether the door of a key location has remained open for an extended period and issues a timely alert.

Personnel crossing the boundary triggers an alarm; OpenMV defines the “sense of security boundary.”
Detecting personnel or equipment crossing boundaries via virtual alert lines.

“AI城管” is here: An automated system for detecting illegal street vending, built on OpenMV
Automatically identifies illegal street vending activities to support daily urban governance.

Is the gas cylinder placed haphazardly? Use OpenMV to automatically trigger a hazard alert
Automatically identifies unauthorized placements of gas cylinders to detect potential gas safety hazards in advance.

Did you perform live-line work without wearing insulating gloves? OpenMV will immediately alert you!
Automatically identifies whether workers are wearing insulating gloves to assist in safe operations.

Utilizing the OpenMV smart camera to detect surface defects on aluminum plates in real time
Online detection of surface defects on aluminum plates, such as scratches and dents, to support quality control.