Fire Alarm Systems
See it before it spreads
AVIOTEC IP starlight 8000
At a glance
The threat is real
Bosch’s new video-based fire detection system represents a new generation in threat-detection capabilities. Utilizing a unique, scientifically tested physical detection model, Bosch technology spots fires and disturbances, predicts behavior to reduce false alarms and speeds reaction time - helping you stop threats before they spread.
Faster and more accurate
AVIOTEC IP starlight 8000 is the perfect answer for facilities used for industry, transportation, warehousing and utilities such as energy to minimize detection time with low false alarm rates.
Improving the rescue chain through fast detection and situational awareness protects lives and minimizes damage.
"With this dynamic IP camera video based fire detection system combined with intelligent video analysis Bosch provides today´s earliest flame and smoke detection in challenging environments. Potentially a genuine life saver and for sure a brilliant concept."
- Detection of flame and smoke helps to identify even hidden smoldering fires and burning liquids.
- Fast detection at the source allows to see fires where they start, speeding reaction times, improving rescue response and minimizing damage at the site.
- No masking is necessary due to AVIOTEC’s capability to detect fires using the camera's entire field of view in most cases.
- Intelligence in the camera detects disturbances using raw data with no transmission or compression.
- Live streaming enables to monitor environments live and to speed up rescue response.
- Video storage as a basis in order to perform root-cause analysis with recorded videos.
AVIOTEC in action
AVIOTEC video-based fired detection, a new solution for reliable and early fire detection in challenging environments.
Use case papermill
In paper mills the most important points to consider are a high fire load, as well as hazardous materials and areas wich lead to rapidly developing fires. Another issue can be dust and humidity that may trigger unwanted false alarms. While video-based fire detection can be more reliable and more affordable than other technologies in most paper mill scenarios, it offers an additional benefit that no other option can. It allows combining of safety and security.
Having installed a video-based fire detection system, the operator can use the very same cameras for video surveillance. There are many reasons to monitor paper mills, or production halls, respectively, avoiding production disturbances being the most obvious one. But just as intelligent algorithms can identify smoke or flames, others can detect unusual movements as well as blocked aisles or emergency exits, thus increasing safety and operational efficiency. Finally, many fires in paper mills are actually induced by intentional arson, and here video surveillance can be a very efficient means of prevention. In the United States, the National Fire Incident Reporting System (NFIRS) and the National Fire Protection Association (NFPA) have published surveys indicating that arson was the course of 13% of fires in large storage areas (second only to electrical problems with 14%). And being designed for destruction, arson causes much more damage than incidental fires. Representing 13% of the fires, arson resulted in 21% of the damage done. Video surveillance combined with video-based fire detection can therefore not only offer fast and reliable detection of fires, but potentially also prevent a lot of them to begin with.
Use case warehouse
Most warehouses are characterized by high ceilings and very large areas, also resulting in huge volumes of air inside which is a major challenge for traditional fire detection technologies. In warehouse environments, heat detection by means of sprinklers is a commonly used technology, but even fully compliant sprinkler systems may not be able to extinguish the fire they detected. Using sprinklers also bears the potential of the water doing more harm than the fire itself. They are designed to save the building, not the commodities inside. Traditional detectors like point-type, beam or even aspirating smoke detectors need the smoke to migrate to their location, which is a challenge in large warehouses. Mounted at ceiling level, point detectors are usually far away from the source of the smoke. The only smoke detection technology that does not need the smoke to migrate to the sensor is video-based fire detection. It can detect a fire as soon as the smoke enters their field of view. This way it can cover larger areas and volumes than point, beam or aspiration detectors, making it a much more affordable solution for warehouse environments. Further, in such environments video is much faster than traditional smoke detection. It can detect a starting fire within 10 to 30 seconds while other technologies will need minutes due to the slow smoke migration - minutes that can make the difference between a nuisance and a disaster.
Use case airport hangar
Airports can be a challenge for firefighters. The various building structures, like terminals, hangars, storage areas and baggage handling demand a differentiated approach to fire detection technologies and ask for customized solutions. Video-based fire detection technologies promise faster and more accurate detection of such potentially devastating fires, allowing firefighters to limit the damage.But video can do more than just smoke detection. If you use one set of algorithms to identify smoke, you can just as well implement another set to deal with flames. Flame characteristics of different fires are well understood, and thus flame detection through intelligent video analysis is just as reliable as smoke detection. Using video to detect flames avoids the necessity to install and operate optical flame detectors and adds additional value by way of full video visualization of the scene. The operator can therefore precisely locate the seat of the fire as well as involved commodities, potentially providing valuable time for firefighting. The video image can also be used to verify alarms in the first place, avoiding costly false alarms. Intelligent video analysis within the camera allows for very precise differentiation between smoke and disturbing values such as smog or vapor. And while video quality can generally suffer from movement, reflections or changing lighting conditions such as backlights, intelligent processing allows offsetting such influences.