OpenMV
Shields
Lens
Robotics
Book
Video
Download
Docs
Forum
OpenMV.io
GithubThe photovoltaic panel “appears to be fine,” but this does not necessarily indicate normal power generation efficiency. Localized shading and dust accumulation often persist for extended periods yet remain difficult to detect. OpenMV enables photovoltaic operation and maintenance without full reliance on manual inspections.

During the operation of photovoltaic power plants, foreign substances—such as dust accumulation, fallen leaves, and bird droppings obstructing the surface of PV 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, manual inspection is not only inefficient but also unable to promptly detect localized anomalies. Leveraging SingTown’s OpenMV intelligent cameras, long-term and stable visual monitoring of photovoltaic panel operational status can be achieved, enabling automatic identification and timely resolution 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 PV panel surfaces. OpenMV performs region segmentation algorithms at the edge to delineate the effective operating areas of the PV panels and, by integrating foreign-object feature recognition with status comparison analysis, automatically determines whether abnormal dust accumulation, leaf obstruction, or localized contamination is present.
By comparing the current image with a normal reference, the system identifies abnormal areas affecting power generation efficiency and outputs the detection results. These results can directly trigger on-device cleaning equipment, operation and maintenance systems, or alarm modules to enable immediate response upon detection, eliminating the need to upload large volumes of image data to the cloud.
Leveraging OpenMV’s edge computing capabilities and low-power design, this solution is especially suitable for long-term deployment in large-scale, distributed photovoltaic scenarios.

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

Personnel crossing the boundary triggers an alarm; OpenMV interprets the “sense of security boundary.”
Detects personnel or equipment crossing virtual perimeter lines.

“AI Urban Management Officer” is Here: An Automatic Vendors-Encroaching-on-Pavement Recognition System Built on OpenMV
Automatically identifies illegal street vending activities to support daily urban governance.

Improper Storage of Gas Cylinders? Use OpenMV to Automatically Trigger Hazard Warnings
Automatically identifies unauthorized placements of gas cylinders to proactively detect potential gas-related safety hazards.

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

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