OpenMV
Shields
Lens
Robotics
Book
Video
Download
Docs
Forum
OpenMV.io
GithubExposed soil piles are one of the most common and recurrent issues in dust control. Manual inspections cannot provide round-the-clock coverage, and violations often occur during inspection intervals. OpenMV enables continuous and traceable supervision through visual monitoring.

In construction sites, road renovation projects, and temporary soil stockpiling areas, uncovered soil piles—failing to meet the requirement of dust suppression net coverage—are one of the major sources of dust pollution and a key focus of routine environmental supervision and law enforcement inspections by environmental protection authorities. Particularly under windy conditions or in construction sites with frequent vehicle entry and exit, exposed soil is highly prone to generating secondary dust, significantly affecting ambient air quality and residents’ daily life.
Traditional environmental protection supervision methods primarily rely on manual inspections or unscheduled sampling checks, resulting in intermittent oversight and practical limitations imposed by personnel availability, time costs, and inspection coverage. Once violations occur between inspection intervals, they are often difficult to detect promptly; additionally, evidence collection may be incomplete, and the rectification process is challenging to track continuously.
By deploying SingTown’s OpenMV intelligent camera, continuous and automated visual monitoring of soil stockpile areas at construction sites can be achieved. Once the camera is securely mounted at an appropriate height and angle, it operates stably over extended periods, continuously capturing on-site images to provide objective and uninterrupted data for environmental supervision.
OpenMV runs color recognition, texture feature analysis, and regional rule judgment algorithms in real time on the camera edge device, effectively distinguishing between exposed soil surfaces and dust-proof net coverage. The system determines whether stockpiled soil has been covered as required by identifying the dust-proof net’s distinctive color distribution, mesh texture, and coverage integrity, thereby accurately differentiating between “compliant” and “non-compliant” states.
By integrating pre-defined key supervision zone rules, OpenMV can automatically determine whether critical soil stockpile locations are exposed. Upon detecting abnormal conditions such as uncovered or incompletely covered areas, the system instantly outputs recognition results at the edge device, triggers local alerts, or uploads violation information along with timestamps to the supervision platform, enabling rapid response and traceable management.
Environmental supervision that is全天候, quantifiable, and traceable can be achieved without the need for frequent manual inspections. Leveraging OpenMV’s low-cost, low-power, and easy-to-deploy edge computing capabilities, this solution can be scaled across multiple construction sites simultaneously, significantly enhancing both the coverage and execution efficiency of dust control measures, thereby providing reliable technical support for intelligent construction sites and refined environmental supervision.

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.