AI video analytics for Smoke and Fire Detection
Smoke and fire detection with AI video analytics detects visible smoke development and open flames in monitored image areas. The system prioritises suspicious events and provides them with camera, time, and image context for quick review.
Direct answer
What is smoke and fire detection?
AI-supported smoke and fire detection continuously analyses video streams for visible smoke development and flame patterns. If the system detects appropriate features, it generates an event with a camera, time and visual evidence.This allows responsible parties to check possible fire events early on and initiate defined alarm or response processes.
Smoke and Fire Detection
The analysis detects visible smoke development and open flames in suitable camera images and provides suspicious events for quick evaluation.
- ResultThe system reports possible smoke or fire events with camera, time and visual evidence.
- ResultsContinuous real-time video analytics
- PlatformsSynaEYE, Vaidio
- QualityWe validate the analysis with real positive, negative and borderline cases under the actual camera conditions.
Scope of detection
Smoke and Fire Detection: capabilities and results.
The analysis evaluates visible changes in the camera image, taking into account form, movement, spatial development and temporal course. Image quality, perspective and environmental conditions influence the recognition.
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Visible smoke
The analysis detects visible smoke development and can also capture diffuse or spreading smoke patterns within defined image areas.
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Open flames
The system detects visible flames and marks the relevant area in the camera image.
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Spatial spread
The analysis takes into account how smoke or flames develop within the image and change spatially.
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Timeline
The system evaluates changes over several successive images and can thereby consider the development of a possible smoke or fire event.
From image to process
Smoke and Fire Detection in operational workflows.
The analysis prioritises a possible smoke or fire event and provides the relevant image information directly. Depending on the security concept, an authorised person checks the event or system passes it directly to a defined alarm and response process.
Connect
We securely connect existing IP cameras and video streams to the analysis. Suitable existing cameras can be used in many cases.
Analyse
The platform continuously analyses the video streams for visible smoke development and flame patterns.
Verify
The system provides event image, timing, camera and image context for quick evaluation. If necessary, an authorised person will also check the event.
Integrate
The platform passes detected events to a dashboard, VMS, control centre, alarm management, building automation or third-party systems through a REST API.
Typical applications
Where is smoke and fire detection used?
Smoke and fire detection with AI video analytics is particularly suitable for areas where cameras monitor large areas or visible smoke and fire development should be detected as early as possible.
Outdoor storage and recycling
On storage areas, recycling yards and recycling areas, the analysis can detect visible smoke development or open flames at an early stage and inform responsible staff or control centres.
Production and industry
In production halls, technical areas and industrial plants, the analysis can continuously monitor visible brand features within defined camera areas.
Warehouse and logistics
In warehouses, handling areas and logistics centres, the analysis can detect smoke or open flames and transfer detected events directly to existing safety processes.
large sites
On large factory premises, open spaces or difficult to see completely through classic sensor technology, video analytics can provide additional visual information about possible fire events.
Suitable platforms
Which platform supports smoke and fire detection?
The choice depends on the type of analytics, functional scope, infrastructure, integrations and operational responsibility. Only technically suitable platforms are listed.
Operational video analytics
Continuous AI video analytics for live camera streams
SynaEYE continuously analyses existing cameras in real time and combines detection, event logic, alerts, tracking and forensics in a European edge AI platform.
The right choice if you:want to monitor security, safety or operational processes continuously with your cameras and process detected events immediately.
Enterprise platform
Enterprise Visual AI with maximum functional breadth
Vaidio is an established enterprise platform with an extensive catalogue of standardised video analytics, powerful forensic search and a broad integration ecosystem.
The right choice if you:need a large, standardised enterprise environment with a broad analytics portfolio, multi-site operation and established VMS integrations.
Responsibility and feasibility
Smoke and Fire Detection: limitations and requirements.
The analysis can only evaluate smoke and flames that are visible in the camera image. Camera position, distance, resolution, lighting, weather, occlusion and the respective environment therefore influence the detection quality. We examine relevant scenarios before production deployment with representative images.
View Area and Distance
Concealed sources of fire or smoke development outside the camera image cannot be detected by the analysis. Even very small or distant fire characteristics can be outside the reliable detection range.Visually similar phenomena
Steam, dust, fog, exhaust gases, light reflections or other visually similar appearances can trigger an alert. Such conditions must already be taken into account during planning and validation.Fire protection systems and standards
AI video analytics can take over the visual smoke and fire detection independently or supplement existing fire protection systems. If a certified or normatively prescribed fire alarm system is required for an object, the video analytics does not replace it. It is then integrated into the security concept as an additional visual source of detection and information.Assess data protection requirements for your specific use case. For EU locations, refer to the GDPR and the EDPB guidelines on video surveillance. Also consider the requirements of the EU AI Act, where applicable to your use case.
For private operators in Switzerland, the FDPIC guidance on video surveillance guidance.
Frequently asked questions
Smoke and Fire Detection explained in brief.
What is smoke and fire detection?
AI-supported smoke and fire detection continuously analyses video streams for visible smoke development and flame patterns. If the system detects appropriate features, it generates an event with a camera, time and visual evidence.This allows responsible parties to check possible fire events early on and initiate defined alarm or response processes.
What does smoke and fire detection detect?
Configurable inspection criteria are: Visible smoke, Open Flames, Spatial spread, Time Course. We validate which of these work reliably using real scenes.
Where is smoke and fire detection used?
Typical applications include satellite warehouses and recycling, production and industry, warehouse and logistics, extensive areas. A defined follow-up process is decisive.
Which platform supports smoke and fire detection?
Suitable platforms include SynaEYE, Vaidio. The final choice depends on the operating model, infrastructure, integrations and data retention.
What are the limitations of smoke and fire detection?
The analysis cannot detect concealed fire sources or smoke development outside the camera image. Even very small or distant fire features can lie outside the reliable detection range. Steam, dust, fog, exhaust gases, light reflections or other visually similar appearances can trigger an alert. Such conditions must already be taken into account during planning and validation. AI video analytics can take over the visual smoke and fire detection independently or supplement existing fire protection systems. If a certified or normatively prescribed fire alarm system is required for an object, the video analytics does not replace it. It is then integrated into the security concept as an additional visual source of detection and information.
Does the analytics work with existing cameras?
In many cases, yes. The decisive factors are perspective, resolution, lighting, frame rate, compression and the visible size of the relevant feature.
Validate before scaling
Test smoke and fire detection with your cameras.
We assess the scene, image quality, data protection, integrations and response process using real data.
Discuss your use case
