





Femto Mega is a programmable multi-mode Depth and RGB camera with real-time streaming of processed images over Ethernet or USB connections. The camera uses Microsoft’s industry proven ToF technology and the NVIDIA® Jetson™ platform to deliver a comprehensive Depth and RGB vision platform for computer vision and AI developers. With a wide field of view (FOV) and high resolution depth sensor, it’s ideal for robotics, manufacturing, logistics and healthtech applications. The Orbbec SDK makes it easy to setup and deliver extremely accurate and reliable data.
Head over to the Quick-Start Development Library for a swift transition from Azure Kinect DK to Femto Mega. Follow the tutorials, Azure Kinect Sensor SDK APIs, and Azure Kinect Body Tracking demos to streamline the adoption of Femto Mega.
| Depth Technology | Time of Flight |
| Wavelength | 850nm |
| Depth Range | *0.25-5.46m (depending on depth mode) |
| Depth Resolution/FPS | Up to 1024X1024@15fps (WFOV), 640X576@30fps (NFOV) |
| Depth FOV | H 120° V 120° (WFOV), H 75° V 65° (NFOV) |
| RGB Resolution/FPS | Up to 3840X2160@25fps |
| RGB FOV | H 80° V 51° |
| Processing | NVIDIA Jetson Nano |
| IMU | Supported |
* Depth typical systematic error (accuracy)* < 11 mm + 0.1% distance; Depth random error std. dev.(precision)* ≤ 17 mm
* 2D and 3D files avaible for download at Github.
| Data Connection | USB 3.0 Type-C/Ethernet |
| Power Input | USB 3.0 Type-C/PoE+/DC 12V/2A Power Adapter |
| Trigger | Supported |
| Power Consumption | Average <13W |
| Operating Environment | 10℃ - 25℃; Indoor; 8-90%RH (non-condensing) |
| SDK Support | Orbbec SDK |
| Data Output | Point Cloud, Depth Map, IR & RGB |
| Dimensions (W*H*D) | *115mm x 40mm x 145mm |
| Weight | 560g |
| Installation | Bottom: ¼-20UNC Side: 4 x M2.5 |










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