Optical gas imaging (OGI) cameras are an incredible tool for aerial inspections of industries where gas leak detection is critical—such as oil & gas, chemical processing, and environmental monitoring. In this article we are comparing two of the leading OGI solutions that can be mounted on drone platforms.
Both the FLIR G620a and the Cantronic RedEagle U340 can be mounted on drones for aerial gas leak detection, but not all OGI cameras are created equal. In this comparison, we’ll break down how these two sensors stack up against each other and why the RedEagle U340 stands out as the best choice for professionals using DJI Matrice 300 RTK and Matrice 350 RTK drones.
If you're looking for a true plug-and-play solution that works seamlessly with DJI’s ecosystem, delivers better detection capabilities, and eliminates the need for external power sources, this breakdown will show why the RedEagle U340 is the smarter investment.
FLIR G620a vs. Cantronic RedEagle U340 – Aerial Optical Gas Imaging (OGI) Cameras
| Feature | FLIR G620a | RedEagle U340 |
|---|---|---|
| Application | Optical Gas Imaging (OGI) for methane & VOC detection | Aerial Optical Gas Imaging (OGI) optimized for methane & VOC detection |
| Drone Compatibility | Can be mounted on drones but requires additional mounting solutions | Designed for seamless integration with DJI Matrice 300 RTK & Matrice 350 RTK via DJI Skyport |
| Control & Software | Requires external controller or custom integration | Fully controllable through DJI Pilot app, offering smooth in-flight adjustments |
| Detector Type |
Long-life HOT T2SL MWIR |
Long-life HOT T2SL MWIR |
| Spectral Response | 3.2–3.4 μm | 3.2~3.5 μm (optimized for methane & VOCs) |
| NETD (Sensitivity) | <15 mK at 25°C | ≤15mK (better detection sensitivity, crucial for small gas leaks) |
| Field of View (FOV) | 14.4° x 11.5° | 15° x 12° (ideal for aerial scanning) |
| Operating Temperature | -20°C to 50°C | -20°C to +60°C (wider operational range for extreme conditions) |
| Image Output | Non-standard optical output | DJI Pilot App, and HDMI port on the back of RC Plus |
| Storage | None | 64GB MicroSD Card (included), supports up to 1TB |
| Power Supply | Requires special attachment and PoE+ Type 2 (30 W min) | Direct power from DJI Skyport (DC 10-28V) – no need for additional power sources - DC 12 V |
| Cool-down Time | Unspecified | <5 min (room temperature) – optimized for fast deployment |
| Weight | 1430 grams | 800 grams |
| Size | 229x76x95 mm | 170x80x75 mm (with lens) |
| Detectable Gases | Hydrocarbons, VOCs | Over 400 gases, including methane, benzene, ethylene, propane, and more |
| Use Cases | Gas leak detection, environmental inspections | Designed for UAV-based gas leak detection in refineries, offshore platforms, pipelines, and chemical plants |
Why Choose the RedEagle U340 Over the FLIR G620a?
Seamless Integration with DJI Matrice 300 & 350
Unlike the FLIR G620a, which requires additional mounting solutions, the RedEagle U340 connects natively via DJI Skyport.
The RedEagle U340 is fully controllable through the DJI Pilot app, making in-flight adjustments easy.
Faster Deployment & Simpler Operation
Direct power from DJI Skyport eliminates the need for extra power sources or batteries.
Micro HDMI & H.264 USB/HDMI output ensures smooth integration with DJI drones.
Wider Temperature Tolerance & Environmental Resilience
The RedEagle U340 operates between -20°C to +60°C, making it more reliable in extreme conditions.
Faster cool-down time (<6 min) compared to alternative cooled sensors.
Optimized for Aerial Inspections
The 15° x 12° FOV is designed for aerial gas detection, providing optimal coverage.
Final Verdict: The RedEagle U340 is the Smarter Choice for Drone-Based Gas Leak Detection
While the FLIR G620a is a solid OGI solution, it lacks the true integration needed for efficient aerial operations. The RedEagle U340 is specifically designed for drone use, offering seamless DJI integration and a superior cooled sensor—making it the ideal choice for serious industrial gas detection professionals.
Would you like any further refinements or emphasis on specific use cases?
