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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 discern such 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—though capable of “seeing”—struggles to automatically determine the specific behaviour of “leash usage,” resulting in inadequate enforcement. Leveraging SingTown’s OpenMV intelligent camera, the system utilises AI-powered visual capabilities to automatically identify on-site whether pets are leashed, thereby 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 the edge device to simultaneously identify “humans” and “pets” in the image, and further analyses small targets 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 for prompt intervention.
OpenMV deploys complex visual recognition and decision-making logic directly on the camera edge device, offering advantages of 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, thereby upgrading civilized pet management from “passive persuasion” to “active identification”.

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