logo
OpenMV
Home Cam
Applications
Store
AI
Sales Channels
Support
OpenMVOpenMV
ShieldsShields
LensLens
RoboticsRobotics
BookBook
VideoVideo
DownloadDownload
DocsDocs
ForumForum
OpenMV.ioOpenMV.io
GithubGithub

OpenMV handles the identification of exposed soil piles and their dust-proof tarpaulin coverage status.

Exposed 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.

裸露土堆识别

At construction sites, road renovation projects, and temporary soil stockpile areas, uncovered soil piles that fail to meet the requirement for dust suppression netting constitute one of the primary sources of dust pollution and are a key focus of routine environmental regulatory oversight and enforcement inspections. Particularly 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 life.

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. Violations occurring between inspections are often difficult to detect promptly, and issues such as incomplete evidence collection and challenges in continuously tracking rectification processes also persist.

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 continuous data for environmental supervision.

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” conditions.

By integrating pre-defined rules for key regulatory zones, OpenMV can automatically determine whether critical soil stockpile locations are exposed. Upon detecting anomalies such as uncovered or incompletely covered conditions, the system can instantly output identification results at the edge, trigger local alerts, or upload violation information along with timestamps to the regulatory platform, enabling rapid response and traceable management.

Environmental supervision can be achieved around the clock, in a quantifiable and traceable manner—without requiring 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 execution efficiency of dust-control measures, thereby providing reliable technical support for intelligent construction sites and refined environmental supervision.

Related articles

机房/配电房/单元门敞开识别

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.

越界识别

Personnel crossing boundary triggers an alarm; OpenMV interprets the “sense of security boundary”

Detects personnel or equipment crossing virtual perimeter lines.

占道经营识别

“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.

煤气罐违规摆放识别

Improper placement of gas cylinders? Use OpenMV to automatically trigger hazard alerts

Automatically identifies unauthorized placements of gas cylinders to proactively detect potential gas safety hazards.

绝缘手套佩戴识别

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 with safe operations.

铝板缺陷识别

Utilizes the OpenMV smart camera to detect surface defects on aluminum plates in real time

Online identification of surface defects on aluminum plates, such as scratches and dents, to support quality control.

Popular categories

Language and Region
Copyright © 2025 星瞳科技SingTown
粤ICP备17045162号