The Thermal Tank Level Monitoring application from Noema uses smart cameras and computer vision to automatically monitor large industrial oil tanks 24/7. The app relays tank data and alarms for level changing events and critical tank levels in real-time to the Supervisory Control and Data Acquisition (SCADA) system or Video Management System (VMS), providing complete integration with current monitoring processes.
Noema apps operate at the edge, meaning computing is done on the camera itself, with no additional hardware required. Noema’s Thermal Tank Monitoring application watches industrial tanks cheaper, safer and more accurate than a human operator.
When storing materials in industrial tanks, knowing the level of liquid or gas in the tank is of paramount importance to your operation, especially during level changing events and when tank levels are critical.
Getting level measurements from large industrial tanks currently requires complex and precisely calibrated equipment. A system of sensors, probes, cables and alarms must all function properly to be alerted to leaks. These tools also require highly skilled labor and maintaining them requires the tanks to be opened, causing costly pauses to operations and letting off harmful gases into the atmosphere in the process. This equipment is also subject to damage from exposure to different chemicals and substances and can become unusable.
Noema’s Tank Level Monitoring app automatically monitors the level of liquid/material in industrial tanks using thermal cameras and digital rulers which operate in all light & weather conditions. The application can be configured remotely onto a single camera which can monitor multiple tanks, with no additional hardware required. Any changes in tank level or critical tank events are monitored for 24/7 with tank data and customizable alerts sent back to a centralized control system.
Noema’s Computer Vision applications use thermal cameras to monitor tank levels and computer vision to relay real-time information about your critical infrastructure, prevent damage and lower costs.
Realtime Thermal Level
Separate colors for each thermal level
Monitor multiple tanks with a single camera
VMS and SCADA integration
Easy configuration & use
Works in all light & weather conditions
Accurate to 2 pixels
Works with little internet bandwidth
Variety of cameras supported
Noema’s Thermal Tank Level Monitoring Application runs 24/7 and detects level changing events and critical tank levels with more consistency than a human operator. Having a human operator monitoring feeds is costly and prone to error, as continuous monitoring is nearly impossible. Real-time alerts minimize response times and regulatory costs for operators.
Noema’s Thermal Tank Level Monitoring application operates at the edge, meaning the algorithm runs entirely on the camera, allowing you to monitor multiple tanks, on a single camera, with no additional hardware required.
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. No additional on-site hardware or measurements are required.
The app generates easily digestible metadata that can be integrated into any backend or SCADA.
Local API data:
NVIDIA Compatible
Arm64 Architecture
Supports a variety of camera types and manufacturers, including CCTV cameras
The application can be licensed to support multiple tanks 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
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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