IT for Nature LLC, Burbank, California, has developed the first real wildfire detector worldwide. The device with software based on artificial intelligence may remotely detect a wildfires occurrence within a few minutes. This is the only reliable such system for commercial and private use. It's a Game Changer.

1. EARLY WILDFIRE DETECTION SYSTEM

2. WILDFIRE
DETECTION
SYSTEM
The SmokeD Wildfire Detection
System by IT for Nature is
unparalleled in it’s ability to provide
rapid wildfire detection in forest
areas, large campuses and
communities.
Cost effective, rapid wildfire
detection is more critical then ever
before, worldwide.
Early detection and suppression saves
precious forests, natural habitats,
wildlife, homes, assets, lives and fire
control costs.

3. EARLY WILDFIRE
DETECTION SYSTEM
IS CRITICAL NEED
EVERY MINUTE COUNTS
As wildfires increase in frequency and
intensity worldwide, wildfire detection
can be more important then wildfire
prevention when fires are
unpreventable.
Early detection and suppression
saves precious forests, natural
habitats, wildlife, homes, assets,
lives and fire suppression resources.
Wildfires can double in size every
5 minutes.
With high winds and excessive dry fuels,
fires can grow even faster to rapidly
reach an uncontrolled state.

4. The SmokeD System isn’t just
a camera.
The system is inteligent, using multiple
stages of Artificial Intelligence including
the deep learning level, 24 hours a day,
to proces environmental data for rapid
wildfire detection.
1. Integration of camera, multiple
sensors and microcomputer in each
unit
2. Proprietary intelligent software
system learns and works 24/7
to provide rapid detection
of wildfires in a ten mile
(10 mile), 360 degree area
(with 4 units)
3. Immediate Alerts go out to all
app users to rapidly mitigate loss
WHY IS THE SMOKED
SYSTEM SO UNIQUE?
Let’s take a closer look at how the system works…

5. SMOKED SYSTEM
SOFTWARE HARDWARE
SmokeD Alerts
app
SmokeD Web
app
SmokeD Wildfire Detector
1
2

6. Light-dark cycles, seasons & man
constantly change the environment
Artificial Intelligence combines and
analyzes dynamic data from
multiple sensors and camera
modules to provide continuous
learning
Data is processed in multiple stages
by the proprietary SmokeD software
system
Complex Artificial Intelligence
protocols combining algorithms,
machine learning and deep
learning accurately detect and alert
of wildfires within minutes
ARTIFICIAL INTELLIGENCE
o Deep learning (many layers)
o Machine learning
o Neural network
ALGORITHMIC APPROACH
o Colour
o Movement
o Shape expansion
SmokeD Software
proprietary fire recognition AI system

7. AI
SmokeD Alerts
immediate fire alerts go to apps SmokeD Web app:
Dispatcher control panel
View all cameras
Verification of warnings
Map
The automated system sends rapid alerts to: SmokeD Alerts mobile app
SmokeD Web app
Apps send alerts in text messages & emails
Alerts provide an accurate position of the fire, within minutes, detecting fires ten miles away
First responders and fire teams can be rapidly deployed to contain the fire before it gets out of
control
SmokeD Alerts app:
View all cameras
Map
iOS
Confirmed alerts
SmokeD analysis of cloud
Algorithms and Artificial Intelligence creates rapid wildfire alerts

8. SmokeD Alerts
mobile app
Receive alerts
See map with fire position
Download free SmokeD Alerts app in
the Apple store

9. Web app Control panel has view
of all cameras, maps, and enables
verification of warnings.
Responders are then notified.
SmokeD Web app
dispatcher can verify and dispatch

10. SmokeD Wildfire Detector
Camera module, sensors & microcomputer
o Camera module, multiple sensors and
a microcomputer in each SmokeD unit
o System works 24/7
o Image resolution 3280 x 2464, 8 Mpx
o Sensors include GPS, compass, gyro,
light intensity sensor, and infrared
o Each SmokeD unit provides wildfire
detection to a 10 mile, 100 degree
area
o 4 SmokeD units provide wildfire
detection to a 10 mile, 360 degree
radius
o Low bandwidth requirements 1 Mbps
per unit
o Low energy costs with PoE and RJ45
connector

11. Monitored areas
in Poland

12. GIS analysis before SmokeD Wildfire Detectors installation

13. Statistics demonstrate SmokeD software reliability
Average wildfire detection time with
SmokeD Software:
10.5 min - all detected wildfires
including low definition cameras
*4.5 min - detected with
SmokeD High Definition
cameras, 2K or 4K resolution,
taking images every 2 minutes
and processed by SmokeD
software for rapid wildfire
detection
Detection time including 2016 and
2017 wildfires in Poland and USA:
detected under 5 min
detected 5 to 10 min
detected 10 to 15 min
detected after 15min
- 52 wildfires
- 87 wildfires
- 17 wildfires
- 12 wildfires
Los Angeles, California, USA - September 2,
2017: Dawn view of the La Tuna wildfire burning
on Verdugo Mountain near Burbank.
Thomas Fire Burns Above Fillmore in Ventura
County California

14. Mammoth Lakes, California

15. Smoke detected within 3min
view from SmokeD Camera

16. Smoke detected within 2 min
view from SmokeD Camera

17. Sequoia National Forest

18. Sequoia National Forest

19. Sequoia National Forest

20. OUR TEAM
Artur Matuszczak
General Manager
+1-714-351-5000
+48 691 779 415
artur@itfornature.com
Dr Andrzej Bytnerowicz
Senior Advisor
+1-951-533-5660
andrzej@itfornature.com
Terry Levesque
Business Development
Manager
+1-310-628-6775
terry@itfornature.com
Magdalena Bącler
Product Manager
+48 533 325 797
magdalena@itfornature.com
www.smokedsystem.com