AE3000 Video Fire Alarm and Information Management System mainly executes first or second alarm verification, all alarm signals storage management, digital map display, fire incidences video storage, and so on. Being the main server designated for regional detection, one AE3000 can support 4~8 cameras; for second alarm verification and information management, one AE3000 can support 32~64 frontline AE series detectors.
AE3000 Video Fire Alarm and Information Management System is a PC base intelligent fire alarm system, adopting intelligent recognition and self-learning algorithm, recognizes smoke and fire flame images from the vision field, then digitally integrated to obtain fire hazard probability. Together with the front-end AE series detectors, it forms a dual layer alarm structure uniquely named as AEnetTM Distributed Intelligent Network, realizing distributed and centralized detection model substantially improves the system performance. The system is built with detection alarm output compatible with all conventional fire alarm system. AE3000 becomes a power device for its capability to perform remote operations, through LAN and INTERNET connection.
- Early detection on fire flame and smoke, or second in line to verify the alarm triggered by the front end AE series detector, accomplishing the designed feature of distributed and centralized fire detection.
- Applied as regional detection server to support 4~8 cameras.
- Effectively process all alarm information and convert into information for digital map display, information management, storage, and so on.
- Fault alarm on vision field drastic shift or obstruction.
- Performs zonal division into 64 sub-zones for segregation as key surveillance or zone exclusion.
- Network with 32~64 AE series detectors to form AE series detection system.
- Digitally record and store alarm information, and a maximum of 2000 hours incidence video and alarm information can be recorded and stored.
- Highly reliable distributed and centralized dual layer AEnet Distributed Intelligent Network.
- Strong immunity to false alarm.
- Intelligent detection and self-learning algorithm.
- Fire hazard probability algorithm and digital data integration.
- Integration of second layer digital data from varies zonal front end detectors significantly excel the system performance and dependability.
- GIS map display.
- Compatible with CCTV system.