Teledyne Teledyne FLIR Hadron 640R Qualcomm RB5 Test Kit, 640x512 LWIR + 64MP EO Dual Camera

The Hadron 640R kit is specifically designed and pre-configured for seamless integration with the Qualcomm RB5 Robotics and IoT development platform. It leverages the RB5's powerful AI engine and connectivity for accelerated development of computer vision applications, utilizing the kit's dual-camera data streams for object detection, thermal analytics, and autonomous navigation algorithms in embedded systems.

The module operates on a 5V DC power supply and connects via its primary MIPI CSI-2 interface for direct, high-speed data transfer to a host processor like the Qualcomm RB5. A USB 3.0 interface is also provided for alternative connectivity or direct connection to a PC for development and data capture. Ensure your carrier board or RB5 setup provides the correct 5V rail and has compatible MIPI CSI receiver lanes configured.

Yes, the integrated 640x512 LWIR thermal sensor is radiometric, meaning it provides calibrated temperature data for each pixel in the image. This enables precise non-contact temperature measurement for applications like industrial equipment monitoring, building inspection for heat loss, or scientific research. You will need to utilize Teledyne FLIR's software libraries or develop your own calibration routines to convert raw sensor data into accurate temperature values.

Development typically involves the Qualcomm RB5 SDK and associated vision libraries. You can use frameworks like TensorFlow Lite or Qualcomm's AI Engine Direct for neural network deployment. Teledyne FLIR may provide camera drivers and basic capture examples. For full functionality, developers often work within a Linux environment on the RB5, using OpenCV or other computer vision libraries to process the synchronized thermal and visible video streams from the dual sensors.

Absolutely. Its compact SWaP-optimized design, low 5V power requirement, and dual-sensor capability make it ideal for drones and outdoor mobile platforms. The fused thermal and visual data is critical for drone applications like search and rescue, agricultural monitoring, or infrastructure inspection, especially in low-light or obscured vision conditions where thermal imaging provides a significant advantage.