SenseNet provides a wildfire detection and management platform that integrates AI with data from gas and thermal sensors, cameras, and satellite inputs to identify early signs of wildfires in real time. This technology enables rapid response and enhances situational awareness for communities and authorities, minimizing damage to infrastructure and reducing suppression costs.
Funding
$2.8M 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
Wildfires pose a significant threat to communities, infrastructure, and natural resources, with traditional detection methods often proving too slow to prevent extensive damage. Existing systems may lack the sensitivity to detect fires in their earliest stages, leading to delayed responses and increased suppression costs. The lack of comprehensive, real-time data integration hinders effective situational awareness and resource allocation for firefighting efforts.
Solution
SenseNet offers an integrated wildfire detection and management platform that leverages AI and a combination of sensor technologies to provide early warnings and enhance situational awareness. The platform uses a network of gas and thermal sensors, complemented by camera feeds and satellite data, to detect wildfires at their earliest stages, often before smoke or flames are visible. AI-powered algorithms analyze this data in real-time to identify potential threats, predict fire behavior, and facilitate rapid response. The system provides an analytics platform with interactive maps, charts, and reports, enabling users to monitor sensor data, camera feeds, and weather information. By integrating with existing fire management systems, SenseNet delivers a comprehensive view of wildfire incidents, supporting optimized resource deployment and minimizing damage to communities and critical infrastructure.
Target Audience
SenseNet's primary customers include electric utilities, railways, forestry companies, mining operations, local communities, resort managers, hotel owners, wineries, federal and provincial/state authorities, municipalities/cities, and fire departments.
Features
- Sensor nodes that detect VOC, CO2, CO, NOx, CH4, PM1, 2.5, 5, 10, temperature, and humidity with long-life batteries lasting 5-10 years
- Smoke detection cameras with 360-degree coverage, AI-enhanced smoke detection, and automated zoom
- Integration of gas and thermal sensor data, camera streams, satellite imagery, and weather inputs
- AI-powered wildfire detection algorithms and real-time alarming system
- Analytics platform with interactive maps, charts, and reports
- Wildfire progress forecasting for up to 7 days
- Daily fire risk analysis and reporting
- Mesh network for sensor communication over several kilometers without cellular network