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GithubWhether a fire extinguisher is in place is often only revealed when it is actually needed—by which time it is already too late. Relying on manual inspections results in low frequency and high risk of omissions, making sustained effectiveness difficult to achieve. OpenMV transforms fire safety inspections into an “always-on” process through vision-based technology.

In public and industrial premises such as shopping malls, industrial parks, factory workshops, and office buildings, the compliance of fire extinguisher placement, unauthorised relocation, and obstruction by debris directly affects emergency response efficiency during unexpected fire incidents. Should fire extinguishers be missing or unavailable for immediate use, the critical window for initial firefighting is often missed, resulting in greater safety losses.
Traditional fire safety inspections primarily rely on manual periodic checks, which not only limit inspection frequency but also heavily depend on inspectors’ sense of responsibility and experience, making omissions, misjudgements, or situations where items pass inspection but are subsequently removed more likely, thereby hindering continuous and effective oversight.
The integration of SingTown’s OpenMV smart camera upgrades fire extinguisher inspections from manual patrols to round-the-clock automated visual inspections.
The camera is permanently installed at the designated location corresponding to the fire-fighting equipment and operates stably over the long term to continuously capture on-site images of the fire extinguisher area without human intervention. OpenMV runs object detection algorithms on the camera’s edge device to accurately identify the fire extinguisher itself and, in conjunction with pre-defined installation zone rules, determines whether it is positioned as required. Additionally, through shape integrity and occlusion detection, the system can also identify whether the fire extinguisher is obstructed, toppled or exhibits abnormal appearance, thereby assessing its operational readiness from multiple dimensions.
Once an anomaly such as a missing fire extinguisher, positional displacement, or obstruction is detected, OpenMV can immediately generate an alert signal at the edge, trigger on-site audible and visual alarm devices, or upload the event information to the management platform—achieving true “immediate anomaly detection and instant issue notification”.
Leveraging an edge deployment architecture and on-device AI capabilities, OpenMV can perform recognition and decision-making without continuously uploading video streams—reducing network and storage costs while significantly enhancing system stability and response speed.
Fire safety inspections have thus been upgraded from “periodic manual checks” to “24/7 online monitoring”, effectively reducing fire safety risks and enhancing overall emergency response capabilities.

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