Signifire Video Fire Detection | British Columbia

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SigniFire cameras from Fike Video Image Detection see and recognize smoke and flames over large spaces at great distances. They detect fire in seconds, send live video to plant security staff, trigger fire alarms, and provide video forensic evidence for future fire investigations.

In British Columbia the Signifire system is available from Kennedy Forest & Safety Consultants, Sales Ambassadors for Firefox Fire Solutions of Edmonton. You can read more at http://bcsafetyconsultants.com/signifire-video-smoke-flame-detection.

Did You Know:
There are over 125,000 commercial structure fires every year in the US alone that result in losses of $3 billion. Fire detection systems are lacking in most of these structures. Until now there has been no sound technology to address the detection challenges of large volume structures.

SigniFire cameras can detect:

-Presence of flames within the field of view of the camera
-Reflected fire light when flames are obstructed
-Presence of pluming smoke clouds
-Presence of ambient smoke
-Unauthorized Intrusion

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Signifire Video Fire Detection | British Columbia

  1. 1. SigniFire Video Image Smoke and Flame Detection Fike Video Image Detection
  2. 2. Intro to Video Image Detection ● Based on video analytics technology ● Utilized in: ● ● ● ● manufacturing facial recognition inventory management product identification
  3. 3. Solution The most effective fire detection system is the human being, using visual identification of fire or smoke.
  4. 4. Solution ● ● ● ● Signifire uses visual imaging and artificial intelligence (machine vision) to emulate human fire recognition. “Trained” with 1000’s of real and false fires. Analyzes each frame of 480X640 pixels @15 frames/sec Scans 4.5 million datapoints (luma value)/second analyzing the image for signs of combustion 24/7/365.
  5. 5. What is Video Smoke and Fire Detection? ● ● ● ● Uses visible spectrum spatially resolved video images from stationary cameras Analyze each frame pixel by pixel using Digital Signal Processing (DSP) high and low pass filters Converts 15 frames of pixel data to one normalized pattern Pattern is fed to neural network for confirmation
  6. 6. Customized Fire Detection ● Detection Algorithms ● ● ● ● ● ● Smoke Flame Reflected Fire Light Motion All included on camera Individually enabled and adjusted ● ● ● ● ● Detect or blocking zones Sensitivities Time delay (Alarm verification) Relay output On/Off schedules Targeted Detection Reduce False Alarms
  7. 7. Flame Detection – Large Pan Fire
  8. 8. Flame Detection – Small Pan Fire
  9. 9. Reflected Fire Light Detection
  10. 10. Smoke Detection
  11. 11. Motion Detection ● ● Motion detection is a byproduct of analysis Can be tied to image location and schedule
  12. 12. IP Network Camera
  13. 13. FSM-IP NVR Handles up to 32 SigniFire IP cameras ●Available in 3TB (2U) and 6TB (3U) storage configurations ●Wintel platform ●Rack mountable ●Available in ruggedized ●
  14. 14. SpyderGuardTM ● ● ● Remote monitoring software application Functions on a standard PC workstation Provides video surveillance, fire safety monitoring, and allows integration of an unlimited number of SigniFire systems
  15. 15. SpyderGuardTM ● ● ● ● View active alarm conditions Receive an audible voice warning Locate the event on building and site plans Coordinate response efforts
  16. 16. SpyderGuard ● ● ● ● ● TM System records 24/7 History timeline of detected events View and download video from any time period Easily identify and download video of events Used in commissioning – eliminate false alarms
  17. 17. SpyderPanel ● ● ● ● ● ● ● Provides simplified remote monitoring Functions on a touch screen unit Provides video surveillance, fire safety monitoring, and allows integration of an unlimited number of SigniFire systems Allows user to view active alarm conditions Receive an audible warning Locate the event on building and site plans Coordinate response efforts
  18. 18. System Architecture Video Management ● SigniFire IP Network cameras ● CAT 5 Computer Cable ● IP Infrastructure (Switches) ● FSM-IP Network Video Recorder (NVR) ● Remote Monitoring Software SpyderGuard Fire Alarm ● Dry contacts ● Monitor Module ● Fire Alarm Panel
  19. 19. SigniFire Server Capabilities ● ● Processes up to 16 IP camera feeds for smoke or fire Can also take any analog camera feeds that have been encoded into an IP stream
  20. 20. Explosion Proof Enclosure
  21. 21. Hot Work
  22. 22. Challenge Typical large volume Detection devices ● ● ● ● Spot Smoke/Heat Detectors: Beam detectors Aspirating Systems Linear Heat Challenges 65 8 2 ● Smoke must interact with detection device ● Installation, inspection and maintenance on high ladder, lift or scaffolding SigniFire can be installed lower than ceiling level and brings detection to the fire.
  23. 23. Challenge ● ● ● ● ● Conventional detection devices are not suitable for many applications having large volume or high ceilings Stratification issues Sprinkler systems designed for building protection, require a large fire to activate First responders require early, “actionable intelligence” to avoid costly fire damage and injury. Cause of fires unknown – can rarely make changes to avoid future incidents
  24. 24. NFPA Journal Aug/Jul 2011 High challenge warehouse
  25. 25. Smoke Detection in a Distribution Center
  26. 26. Dominion Energy Flame Test
  27. 27. Dominion Energy Smoke Test
  28. 28. Outdoor Detection
  29. 29. Customers
  30. 30. Sikorsky Helicopter
  31. 31. Hydroelectric Facility
  32. 32. Satellite Assembly
  33. 33. Electrical Rooms
  34. 34. National Academy of Science (DC Mall)
  35. 35. Smoke Detection - Trash to Energy Plant
  36. 36. Arenas
  37. 37. Magnesium Plant
  38. 38. Comparative Testing Objective Compare the smoke and fire detection capabilities of various technologies during the developing stage of a fire in a high bay environment. ●Testing was witnessed and documented by Schirmer Engineering ●Equipment was designed and installed by fire protection distributors ●Test Facility measures ~60 ft by 35 ft with 18 ft ceilings ●
  39. 39. Source Images
  40. 40. Results Detection Technology % activation (% first to Activate) ASD Level 1 100% (6%) ASD Level 2 70% Beam 63% Ion 55% (6%) Photo 52% VID 100% (88%)
  41. 41. Development of Design Fire Scenario Facility Characteristic – ● Large Volume Space ● High Value Assets ● Desire for Security ● Outdoor flame detection Fire Characteristic ● Visible Signature Occupant Characteristics – ● Trained ● On Site Security / Monitoring
  42. 42. Design
  43. 43. Risk Management of Fire The Risk of Fire is equal to Probability of a Fire X Loss associated with that Fire
  44. 44. Warehouse Fires - Example Annual Risk Expense – Probability of Fire X Single Loss Occurrence ● ● 1% chance of fire that requires fire brigade intervention Avg. cost $590,000 0.25% chance of warehouse fire that causes roof collapse Avg. cost $6,000,000* Average annual risk expense = (.01 X 590,000 + .0025 X 6,000,000) = $20,900 ● *The Probability of Fires in Warehouses and Storage Premises, Hymes & Flynn, 1992 SigniFire mitigates this risk through very early detection and situational awareness 4 SigniFire Camera System can be installed for less than $20,000!
  45. 45. Where do fires start?
  46. 46. When do fires happen?
  47. 47. Combustible Dust Combustible dust in a facility can cause a very dangerous condition in suspension ●SigniFire can detect dust clouds that resemble smoke ●Several of the largest explosion and fire events were attributable to dust ● West Pharmaceutical ●Imperial Sugar ●Grain Elevators ●Coal Dust ●
  48. 48. Dust Detection
  49. 49. Mitigating Nuisance Alarms ● ● ● ● ● ● Sensitivities Blocking or Detection Zones Delays Cross Zoning Schedules Commissioning Period
  50. 50. Zoning
  51. 51. Maintenance and Commissioning ● ● Report generation NFPA requirements ● ● Left to Manufacturers How to commission ● ● Commissioning report Ways to test system ● ● ● ● ● Propane torch Smoke emitters Canned smoke Motion zones User initiated alarms
  52. 52. Video Detection Scenario SpyderGuard Visual ID Email message Improved response time and situational awareness Fast Detection Coordinate response with live video IP Dry-contact Dial 911
  53. 53. Customizable Fire Detection ● ● ● ● ● ● ● One or more detection algorithm(s) Detect or mask areas Zone on-off schedules Sensitivity settings Cost savings A. Less wire and conduit/scaffolding B. Fewer devices Minimum operational disruption Quick system modification “Custom Fire Detection Solutions For Challenging Applications”
  54. 54. Advantages ● ● ● ● ● Volume Detection Large coverage area Situational awareness Continuous video recording Standards and Listing ● ● ● ● ● Fast detection Cost Nuisance rejection Post event reconstruction NFPA 72, FM and UL Provides a solution to fire and smoke detection in large volume facilities where no detection has historically been deployed
  55. 55. Questions, Comments, Words of Wisdom Contact Information Fike Video Image Detection 47 Loveton Circle, Suite F Sparks, MD 21152 Ph: 410-472-6590 Fax: 410-472-6595 Webpage: www.signifire.com

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