Audience

Companies seeking a solution offering early fire detection and immediate notification of users

About SmokeD

The SmokeD detectors are sophisticated devices intended for early fire detection and immediate notification of users about their occurrence. For that purpose artificial intelligence (AI) has been applied resulting in fast, effective, and accurate detection of smoke and flames up to 10 miles. SmokeD detectors monitor the area 24/7. When they detect smoke or flames, they automatically send an alert with the exact location of the fire to the users of the web or mobile app. The fire is detected within 10 minutes, so there is a high probability that it will be extinguished before it can get out of control. We have developed an automatic forest fire early detection system for organizations and companies that want to protect their sites and facilities from fire. Tell us about your problem with wildfires so we can prepare a GIS analysis for you and adjust the solution to your needs.

Pricing

Free Version:
Free Version available.
Free Trial:
Free Trial available.

Integrations

No integrations listed.

Ratings/Reviews

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ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Company Information

IT for Nature
Founded: 2013
United States
www.itfornature.com

Videos and Screen Captures

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Product Details

Platforms Supported
Cloud
Training
Documentation
Live Online
In Person
Support
Online

SmokeD Frequently Asked Questions

Q: What kinds of users and organization types does SmokeD work with?
Q: What languages does SmokeD support in their product?
Q: What type of training does SmokeD provide?
Q: Does SmokeD offer a free trial?

SmokeD Product Features

Forestry

Customer Management Supported
Barcoding / RFID Not Supported
Contract Management Not Supported
Cost Accounting Not Supported
Financial Management Not Supported
Harvest Management Not Supported
Order Processing Not Supported
Pricing Management Not Supported
Production Tracking Not Supported
Supplier Management Not Supported
Transportation Management Not Supported