This document summarizes a visual-based fire detection software that uses image processing and machine learning to detect fires faster and more accurately than existing solutions. It analyzes images from cameras to identify fires within half a second and can pinpoint the location of the fire. The software is intended to integrate with fire suppression systems to allow faster response times. It sees opportunities in industrial markets like oil and gas where reducing damage from fires can save costs and reduce insurance premiums. The team believes their solution offers advantages over thermal cameras and existing smoke detectors in speed, accuracy, and integration capabilities.

1. Visual based Fire detection Software

2. Huge costs in damages and recovering from damage.
Increased insurance deductible, and disadvantages on
future claims.
FIRE AT WORK ENVIRONMENT

3. PROBLEM WITH PREVALENT SOLUTIONS
Ionization or photoelectric smoke detectors
Industry currently relies on two methods to detect fire (smoke and direct heat).
Both Methods require significant damages
and take along time to activate.
Mechanical heat sensor (thermometer)

4. Through customer discovery we found industry is looking for
10X faster and 10X more accurate forms of detection
that don’t require significant damage and time to activate.

5. Fire detection using image
processing system.SOLUTION
https://youtu.be/YDkOogznGos
● Fast (delay only 0.5sec)
● Accuracy increased with training
● Can pinpoint fire location

6. Fire
Software
Camera
Cloud
Alert
Extinguish
PRODUCT
Data Result
Command
Product Demo: https://www.youtube.com/watch?v=6B27uaI3K4s

7. Oil/Gas still sites
Transportation of oil sands
Deep mine sites
Large scale shipping
New construction site
Marijuana farms
Cabins
TRACTION
Through customer discovery,
we have found most of our interest from

8. CUSTOMER PROFILE
MARKET
1) They have expensive equipment and inventory
2) Their current fire suppression leaves room for significant damage or significant
downtime to equipment
3) The work environment is prone to fire
➔ They desire a faster suppression system
➔ They want to reduce their insurance premium

9. TREND: An increasing number of manufacturing activities across
developing regions such as China, Middle East & Africa.
USD 52.19 Billion
USD 93.46 Billion
2016 2022
(1) Based on “Fire Protection Systems Market by Product (Fire Detection (Sensors & Detectors (Flame, Smoke Detectors), RFID), Fire Suppression (Fire Sprinklers, Fire Extinguishers), Fire Analysis and Fire Response),
Services and Vertical- Global forecast by 2022” (Marketsandmarkets, 2016)
(2) The industrial segment, comprised of oil & gas, manufacturing, transportation, and energy & power
The industrial segment(2)
accounted for over 45%
of the overall revenue
share.
THE FIRE PROTECTION SYSTEMS MARKET (1)
MARKET

10. COMPETITION COMPETITIVE EDGE
- Speed and accuracy.
- Thermal camera requires human to
monitor, and is much more costly.
- SaaS can be integrated into different
hardwares to trigger fire suppression
system.
- Machine Learning: Still a new arena for
the old and entrenched fire safety industry
- Market Validation: We will iterate and
strive until we find Product Market Fit
Cost
Accuracy
and Speed
Thermal
Smoke
detector
Sprinklers
COMPETITIVE MATRIX
Experiment: Fire Out vs Smoke detector and Sprinkler https://youtu.be/6B27uaI3K4s
Flame
detector

11. BUSINESS MODEL
REVENUE COST
● Revenue stream: licensing and
implementation of software
● Buyers:
○ VARs (value added resellers)
○ Suncor, Shell (oil and gas)
○ Kidde and NAFFCO (fire suppression
retailers with large networks)
○ Glencore, BHP Billiton (mining firms)
○ CN (railway companies).
● Channel: Direct sales and VARs
● Research and development of the software
● 3rd party testing
● Customer development (which we expect
requires in person meetings with demo’s).
● Governmental approval

12. TEAM
PARTH
(Software)
MATT
(Business)
NANA
(Business)
SINA
(Software)
We are a group of friends from Simon Fraser University (Vancouver, BC)
We want to use our knowledge in machine learning and business to implement our software in ideal
locations.

13. CONTACT US
FOLLOW US
Email: info@fireout.io
Phone: +1 310 302 7533
Facebook: /FireOutAI
IG: @fireout.io