Provides an AI-powered wildfire detection system that uses optical sensors and machine learning algorithms to identify smoke and flames within 10 minutes, detecting fires up to 10 miles away. This system reduces reliance on costly watch towers and manual monitoring, offering 24/7 automated alerts and precise fire location tracking to protect people, property, and natural resources.
Funding
$10.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Traditional wildfire detection methods, such as watch towers and manual monitoring, are costly, require significant manpower, and can be limited by visibility and response times. This can result in delayed detection, allowing fires to spread and cause substantial damage to property, natural resources, and human life.
Solution
SmokeD offers an automated early wildfire detection system designed for organizations and individuals seeking to protect people, facilities, and natural resources. The system utilizes AI-powered detectors equipped with sensitive optical sensors to identify smoke and flames with high accuracy. SmokeD's system provides 24/7 monitoring, detecting fires within an average of 10 minutes and pinpointing their location up to 10 miles away. Upon detection, the system automatically sends alerts with the fire's precise location to users via a web or mobile application, facilitating rapid response and minimizing potential damage. The SmokeD system also includes optional drone-based detection for monitoring difficult-to-access areas.
Target Audience
SmokeD serves businesses, government organizations, and individuals responsible for protecting large areas of land, facilities, and communities from the threat of wildfires.
Features
- AI-powered detectors with optical sensors for early fire and smoke detection
- 24/7 monitoring and automated alerts via web and mobile applications
- Fire detection within 10 minutes on average, with location pinpointing up to 10 miles
- Optional drone integration for monitoring hard-to-reach areas
- Web application for dispatchers in alarm and dispatch centers, providing access to detector images and monitored area maps
- Mobile application for direct notifications to users' smartphones
- AI and machine learning algorithms for continuous improvement of system accuracy