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

Fire extinguisher presence detection via automatic OpenMV inspection

Whether a fire extinguisher is in place often remains undetected until 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 visual monitoring.

消防设施监测

In public and industrial venues such as shopping malls, industrial parks, factory workshops, and office buildings, the proper placement of fire extinguishers—whether they are positioned in accordance with regulations, whether they have been moved without authorization, and whether they are obstructed by debris—directly affects the efficiency of emergency response during unexpected fire incidents. Should a fire extinguisher 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, misjudgments, or situations where “inspections are passed but equipment is subsequently removed” likely, thus 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 protection 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 detection algorithms directly on the camera device to accurately identify the fire extinguisher itself and, in conjunction with predefined installation zone rules, determines whether the fire extinguisher 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 deviation, 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 judgment without continuously uploading video streams—reducing network and storage costs while significantly enhancing system stability and response speed.

Fire inspection has 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 Unsecured Key Locations

Automatically detects whether the door of a key location has remained open for an extended period and promptly issues an alert.

越界识别

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

Detects personnel or equipment crossing virtual perimeter lines.

占道经营识别

“AI City Management” is Here: An Automated Vending-Obstruction 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 Storage of Gas Cylinders? Use OpenMV to Automatically Trigger Hazard Warnings

Automatically identifies unauthorized placements of gas cylinders to proactively detect gas-related safety hazards.

绝缘手套佩戴识别

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

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

铝板缺陷识别

Utilizes the OpenMV smart camera to detect surface defects on aluminum plates in real time

Online detection of defects on aluminum 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