OpenMV
Shields
Lens
Robotics
Book
Video
Download
Docs
Forum
OpenMV.io
GithubUnleashed pets pose a recurring management challenge in communities and parks—visible yet difficult to regulate. Manual inspections are prone to blind spots, while conventional surveillance systems struggle to automatically detect nuanced behaviours. OpenMV enables the system to directly identify whether a pet is on a leash for the first time.

In public areas such as communities, parks, and pedestrian streets, pets being off-leash is a frequent and difficult-to-manage issue.
Manual inspections are prone to temporal and spatial blind spots, while conventional video surveillance—although capable of “seeing”—struggles to automatically determine the specific behaviour of “leash usage,” resulting in insufficient enforcement. Leveraging SingTown’s OpenMV intelligent camera, the system employs AI vision capabilities to automatically identify pet leash status on-site, providing technical support for civilised pet ownership management.
Cameras are deployed at community entrances and exits, main passageways, or key areas to continuously capture footage.
OpenMV runs object detection algorithms on-device to simultaneously identify “people” and “pets” in the image, and further analyses small objects between them using leash-line feature recognition and spatial relationship modelling to determine whether the pet is under effective restraint.
When the system detects a scenario where a person and their pet are walking together without a leash, it can instantly output the result on the device side, trigger voice alerts on connected devices, or report the incident to the community management platform to enable rapid intervention.
OpenMV deploys complex visual recognition and decision-making logic directly on the camera edge device, offering advantages including low power consumption, low latency, and no requirement for continuous internet connectivity—making it suitable for long-term operation in community and park environments, and enabling pet ownership management to evolve from “passive guidance” to “proactive identification.”

AI Sentinel Based on OpenMV: Automatic Alert for Unsecured Key Locations
Automatically detects whether doors at key locations have remained open for an extended period and issues timely alerts.

Personnel crossing boundary triggers an alert—OpenMV defines the “sense of safety boundary”
Detects personnel or equipment crossing virtual perimeter lines.

“AI Urban Management Officer” is here: an automated unauthorised street trading detection system built on OpenMV
Automatically identifies illegal street vending activities to support daily urban governance.

Misplaced gas cylinder? Use OpenMV to automatically trigger hazard alerts
Automatically identifies non-compliant placement of gas cylinders to proactively detect gas 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 detect surface defects on aluminium plates in real time
Online identification of surface defects on aluminium plates, such as scratches and dents, to support quality control.