The Flood Detection application from Noema uses smart cameras and computer vision to monitor water levels and alarm for flooding events in bodies of water and flood plains, by applying water fragmentation and virtual rulers. Customizable alarms are sent to operators in real time, during water-level changing and flooding events. Noema’s Flood Detection app generates easily digestible metadata that works with any backend and can be integrated with any alert system.
Noema apps operate at the edge, meaning computing is done on the camera itself, with no additional hardware required. Noema’s Flood Application relays real-time data that can help reduce or prevent future flooding damage.
In certain regions, flooding events occur on a regular basis and can happen at a moment’s notice. Real-time data & alerts are necessary to reduce or prevent the loss of life and damage to infrastructure caused by flooding.
In the last three years in the United States, damage from flooding events cost $25.6B USD. In Japan from 2015-2019, the cost of damage from flooding has increased from 390B JPY to 2.18T JPY.
There are a few issues with current real-time flood detection solutions, such as tipping bucket rain gauges and radar water level sensors. They are difficult to install and require costly maintenance in both equipment and personnel.
Noema’s solution monitors bodies of water and floodplains and sends a variety of alarms, allowing operators to have the real-time warning systems they need to prevent costly harm to people and infrastructure. Multiple rulers are applied for detection and ruler placement, which can be configured remotely, is defined by the operator. A small number of cameras can sufficiently monitor flood-prone areas, requiring very few personnel to maintain and monitor.
The app monitors and alarms for water coverage in any predefined area. The application runs directly on the camera, performs analysis in real-time and relays critical measurements and alerts back to the operator.
Real Time Water Level
Separate colors categorize water level during increases
Runs at the edge or on the cloud, based on preference
Many camera types are supported
Flexible alarm types
Works in all light & weather conditions
Works with little internet bandwidth
Easy configuration & use
VMS and SCADA integration
Noema’s Flood Detection application runs 24/7 and sends real-time data to a backend of your choice. Real-time metadata and alerts minimize response times to and allows for more insights to be gathered around flood events.
Noema’s Flood Detection application operates at the edge, meaning the algorithm runs entirely on the camera, allowing you to monitor multiple flood prone areas, on a single camera, with no additional hardware or network connectivity.
Noema’s computer vision applications are easy to install. Mount a new camera or use an existing one and configure the application remotely. No additional on-site hardware or measurements are required.
Noema’s Flood Detection application generates easily digestible metadata that can be integrated into any backend or VMS.
Frame Data:
On-demand integration with custom MessageBroker and DataTrolley information system performed by Noema.
NVIDIA Compatible
Arm64 Architecture
Supports a variety of camera types and manufacturers, including CCTV cameras
The application 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
On-demand integration with custom MessageBroker and DataTrolley information system performed by Noema
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 featurese
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
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