Leash-free dog walking detected and alerted by OpenMV within seconds

Unleashed pets constitute 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—although capable of “seeing”—struggles to automatically determine the specific behaviour 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-wearing status on-site, thereby providing technical support for the regulation of responsible pet ownership.

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 targets between them. By combining leash-line feature recognition with spatial relationship modelling, it determines 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 an audio alert via 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 scenarios such as communities and parks, and elevating responsible pet ownership management from “passive guidance” to “proactive identification”.