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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 such nuanced behaviors. With OpenMV, the system can now directly identify whether a pet is leashed or not.

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 behavior of “whether a pet is on a leash,” resulting in insufficient enforcement. Leveraging SingTown’s OpenMV intelligent camera, the system utilises AI vision capabilities to automatically identify pets’ 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 executes object detection algorithms on the edge device to simultaneously identify “humans” and “pets” within the image, and further analyses small targets between them. By combining leash-line feature recognition with spatial relationship modelling, it determines whether the pet is under effective leash control.
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 prompt intervention.
OpenMV deploys complex visual recognition and decision-making logic directly on the camera edge device, offering advantages such as low power consumption, low latency, and no requirement for continuous internet connectivity—making it suitable for long-term operation scenarios such as communities and parks, and elevating responsible pet ownership management from “passive persuasion” to “proactive identification”.

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