Fire & Smoke Detection
The Noema Fire & Smoke Detection application utilizes Computer Vision and AI to monitor fire-prone areas and automatically detect fire and smoke. This is accomplished through quantifying fire and smoke pixel areas to accurately detect different types of fire events. Every second counts when it comes to minimizing the damages that come from fires. Real-time detection and alerts allow for faster response times from operators and emergency services.
Noema apps operate at the edge, meaning computing is done on the camera itself, with no additional hardware required. Distributing Artificial Intelligence computing to the Edge greatly reduces latency and bandwidth requirements for the AI systems to function effectively.
The Problem
The human, ecological and financial impacts of fires can be devastating, no matter the location. Whether an indoor fire sparked by electrical failures or a large-scale wildfires, fires are costly.
According to the U.S. Congress’s Joint Economic Committee (JEC), wildfires cost the economy between $394 – $893 million USD annually, in property damage, clean-up costs and human health impacts, such smoke inhalation, injury or death.
However, wildfires are not the only setting in which fires can be catastrophic. According to the National Fire Protection Agency, the average cost of damage for an industrial fire is $128,000. Damage from fires can bring operations to a halt and poses health risks to employees. That’s why spotting fires and smoke as quickly as possible enables faster responses which mitigates potential costs.
Noema's Solution
Noema’s Fire & Smoke Detection application uses Computer Vision and AI to automatically monitor areas for smoke and fire while also quantifying the fire and smoke pixel-area. When fire or smoke is detected, the application relays an event-specific alarm and visual data to operators.
Noema technologies can spot fire and smoke much faster than a human. This difference is critical in order to minimize response times. Get useful, real-time data and alarms to help reduce the human, environmental and financial impacts from fires, with Noema’s Fire & Smoke Detection application.
Computer Vision to detect Fire and Smoke
Features
Provides varied alarm types for different situations: fire only, smoke only and simultaneous fire and smoke
Implements alarm filtering based on pixels on target (via fire and smoke quantization)
Supports indoor and outdoor deployments
Operates with minimal internet bandwidth
Supports a variety of camera types
Offers easy configuration and use
Solution Advantages
Automated, 24/7 monitoring
Noema’s Fire & Smoke Detection application operates continuously, providing reliability better than a human operator. Eliminating the need for manual monitoring minimizes costs and errors. Real-time alerts reduce response times and mitigate the impact from fires.
Computing at the Edge
Noema’s Fire & Smoke Detection application operates at the edge, meaning the algorithm runs entirely on the camera, allowing you to monitor multiple areas on a single camera, with no additional hardware or network connectivity.
Remote Installation & Configuration
Noema’s computer vision applications are easy to install. Mount a new camera or equip an existing one, and configure the application remotely over the internet. In addition to the camera, no hardware or measurements are required.
Data and Integrations
Integration with VMS and SCADA.
APP integration using Local API:
- Timestamp
- Original and augmented (fire & smoke pixel counts)
- Measurement data
Minimum System Requirements
AI-Enabled Devices
NVIDIA Compatible
Supported Camera Types
- Axis cameras
- I-PRO S and X Series
- NVIDIA Jetson
Deployment
Supports a variety of camera types and manufacturers, including CCTV cameras
The application can be licensed to monitor multiple fires in the field of view or can be applied to cameras that physically or electronically pan, tilt, and zoom (PTZ)
Remote installation and configuration with intuitive interface to define monitoring areas
Smart Camera
App is running on edge device
AI Box
App is running on edge device
VMS
VMS show the camera footage along with some added features
SCADA
SCADA handles the metadata that is generated by the app
Data Output
Video pixels will show fire & smoke data on front end
Analytics
Data integrated into dashboard enabling real-time analysis
Connect with Us
1536 Cole Blvd Suite 325 Golden, CO 80401 USA
EMAIL
contact@noema.techPhone
+1 720 962 9525