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GithubIllegal street vending recurs repeatedly; the challenge in governance lies not in “detecting it once,” but in its “long-term persistence.” OpenMV enables management to shift from concentrated rectification to daily perception through continuous visual monitoring.

Occupying public roads for commercial activities is a common issue in urban governance; business facilities such as stalls, shelves, and tables and chairs encroach upon sidewalks or vehicular lanes, not only disrupting traffic order but also posing safety hazards—particularly pronounced during morning and evening rush hours or in densely populated areas.
Managing through manual inspections incurs high labor costs and makes it difficult to achieve long-term, continuous supervision, resulting in management blind spots where violations resume immediately after inspectors leave.
Based on SingTown’s OpenMV smart camera, automated and routine visual monitoring can be conducted in areas prone to recurring incidents, such as key road sections, school perimeters, and commercial districts.
After the camera is fixedly deployed, OpenMV runs object detection algorithms on the edge device to automatically identify objects related to encroachment on public space, such as stalls, shelves, sunshades, and carts. Meanwhile, by integrating road boundaries, pedestrian passage areas, and configured virtual rule lines, it determines in real time whether commercial activities have crossed the designated boundaries.
When the system detects that business facilities encroach upon roads, obstruct pedestrian pathways, or exceed the scope of licensed business operations, it can instantly output identification results at the edge side for on-site alerts, violation evidence collection, or automatic reporting to the urban management platform, thereby providing objective evidence for subsequent law enforcement.
Leveraging the on-device AI capabilities and edge deployment advantages of OpenMV, the management and regulation of unauthorized street occupation have shifted from periodic rectification to continuous perception and real-time detection, significantly reducing the burden on manual inspections and enhancing both the responsiveness and precision of urban governance.

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.