VESDA

For decades, the VESDA range of Aspirating Smoke Detectors (ASD) has been recognized as the best in the world. New VESDA-E range has a range of features, including dramatically increased sensitivity – up to 15 times greater than previous models; flexibility for deployment in a wide variety of applications; multi-port addressability – a first for ASD; unparalleled connectivity & expansion options; and, field upgradability. All these features combine to make VESDA-E the best choise for early warning of smoke and fire threats. VESDA-E’s sensitivty, flexibility, reliability, programmability, and expandability provides customers with superior performance and protection, while lowering the total cost of ownership (TCO).

VESDA-E series

3.5’’ colour touch screen for status review

AutolearnTM Smoke and Flow

Short wavelength laser-based detection

Flair detection chamber

Ultrasonic flow sensing

Quiet operation

Ethernet 100 base T

WiFi,802.11 b/g/n

Local host mode USB port

Easy installation mounting and maintenance

Event Log (20000 events)

Wide coverage area up to 2000m2

Wide sensitivity range

Industries and Applications
VESDA ASDs deliver absolute protection across a wide range of industries and applications:

  • Educational
  • Healthcare
  • Heritage Buildings
  • Hospitality
  • Office Buildings
  • Power stations
  • Rail & Metro
  • Retails
  • Data Room
  • Telco 
  • Clean Rooms
  • portables switch room
  • Shopping malls
  • Stadiums
  • Warehouses

VESDA-E everywhere
ASD is used for over 300 applications in 45+ market segments
With VESDA-E, ASD will now be the smoke detection choice for any and every application

VESDA ECO

Gas detection and environmental monitoring
Integratable with other building systems
Delivers real-time situational awareness
Intelligent emergency response

Gas Detection and Ranges
Each VESDA ECO detector can house up to two gas sensors, and additional detectors can be added easily to the pipe network to monitor more gases if required. The enhanced VESDA ECO can be configured to detect:

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