logo
OpenMV
Home Cam
Applications
Store
AI
Sales Channels
Support
OpenMVOpenMV
ShieldsShields
LensLens
RoboticsRobotics
BookBook
VideoVideo
DownloadDownload
DocsDocs
ForumForum
OpenMV.ioOpenMV.io
GithubGithub

Whether the fire extinguisher is in place is automatically inspected by OpenMV

Whether fire extinguishers are in place is often only revealed when they are actually needed—by which time it is already too late. Relying on manual inspections results in low frequency and high risk of omissions, making it difficult to achieve continuous and effective monitoring. OpenMV transforms fire safety inspections into an “always-on” process through visual detection.

消防设施监测

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 miscellaneous items directly affects emergency response efficiency during unexpected fire incidents. The absence of fire extinguishers or inability to access them immediately often results in missing the critical window for initial firefighting, leading to 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 “inspections are passed but equipment is subsequently removed” prone to occur, thus hindering the achievement of continuous and effective supervision.

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 fire-fighting equipment and operates stably over the long term, continuously capturing on-site images of the fire extinguisher area without requiring manual intervention. OpenMV runs object recognition 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. In addition, through integrity assessment and occlusion detection, the system can also identify whether the fire extinguisher is obstructed, toppled or exhibits abnormal appearance, thereby evaluating its operational readiness from multiple dimensions.

Upon detecting anomalies such as missing fire extinguishers, positional displacement, or obstruction, OpenMV can immediately generate an alert signal at the edge, triggering on-site audible and visual alarm devices or uploading event information to the management platform, thereby 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 “7×24-hour online monitoring”, effectively reducing fire safety risks and enhancing overall emergency response capabilities.

Related articles

机房/配电房/单元门敞开识别

AI Sentinel Based on OpenMV: Automatic Alert for Unattended Key Locations

Automatically detects whether the door of a key location remains open for an extended period and issues a timely alert.

越界识别

Personnel crossing boundary triggers an alarm; OpenMV interprets the “sense of security boundary”

Detecting personnel or equipment crossing virtual perimeter lines.

占道经营识别

“AI Urban Management Officer” is Here: An Automated Street Vending Detection System Built on OpenMV

Automatically identifies illegal street vending activities to support daily urban governance.

煤气罐违规摆放识别

Improper placement of gas cylinders? Use OpenMV to automatically trigger hazard alerts

Automatically identifies non-compliant placement positions of gas cylinders to proactively detect potential gas safety hazards.

绝缘手套佩戴识别

Did you perform live-line work without wearing insulating gloves? OpenMV will immediately issue an alert!

Automatically identifies whether workers are wearing insulating gloves to assist in safe operations.

铝板缺陷识别

Utilising the OpenMV smart camera to identify surface defects on aluminium plates in real time

Online identification of defects on aluminium plate surfaces, such as scratches and dents, to support quality control.

Popular categories

Language and Region
Copyright © 2025 星瞳科技SingTown
粤ICP备17045162号