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.

Uncovered soil piles at construction sites, road renovation projects, and temporary soil storage areas—where dust suppression nets are not installed as required—are a major source of dust pollution and a key focus of routine environmental regulatory oversight and enforcement inspections. In particular, under windy conditions or at 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 lives.
Traditional environmental protection supervision methods primarily rely on manual inspections or unscheduled sampling checks, resulting in intermittent oversight and practical constraints related to personnel availability, time costs, and inspection coverage. Once violations occur between inspections, they are often difficult to detect promptly, and there are also challenges in obtaining complete evidence and continuously tracking rectification processes.
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 installed at an appropriate height and angle, it operates stably over the long term, continuously capturing on-site images to provide objective and uninterrupted data for environmental regulation.
OpenMV runs colour recognition, texture feature analysis, and regional rule evaluation 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 colour distribution, mesh texture, and coverage integrity, thereby accurately differentiating between “compliant” and “non-compliant” states.
By integrating pre-defined key regulatory area 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 can instantly output identification results at the edge device, trigger local alerts, or upload violation information along with timestamps to the regulatory platform, enabling rapid response and traceable management.
Environmental monitoring can be conducted round-the-clock, quantifiably and traceably, without the need for frequent manual inspections. Leveraging OpenMV’s low-cost, low-power, and easily deployable edge-computing capabilities, this solution can be scaled across multiple construction sites simultaneously, significantly enhancing both the coverage and implementation efficiency of dust-control measures, thereby providing reliable technical support for intelligent construction sites and refined environmental regulation.

AI Sentinel Based on OpenMV: Automatic Alert for Unsecured 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 interprets the “sense of security boundary”
Detects personnel or equipment crossing virtual perimeter lines.

“AI Municipal Enforcement” is here: an automated unauthorised trading detection 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 alerts
Automatically identifies non-compliant placement of gas cylinders to proactively detect gas-related safety hazards.

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

Utilise the OpenMV smart camera to identify surface defects on aluminium plates in real time
Online identification of defects such as scratches and dents on aluminium plate surfaces to support quality control.