TOF Camera Femto Mega
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Femto Mega
Femto Mega is a programmable multi-mode Depth and RGB camera with real-time streaming of processed images over Ethernet or USB connections. 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 set up and deliver extremely accurate and reliable data.
Head over to 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 demons to streamline the adoption of Femto Mega
- Widest Field of View at up to 120॰ Horizontal and 120॰ Vertical
- Up to 25 fps at 1024х1024 or 30 fps at 640х576 depth resolution
- Up to 25 fps at 3840х2160 RGB resolution
- PoE USB 3.0 and IMU supported
- Advanced and accurate sync trigger for multi-sensor network
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MÔ TẢ SẢN PHẨM
Femto Mega Specifications
The camera Femto uses Microsoft’s industry proven Tof technology and the NVIDIA® Jetson™ to deliver a comprehensive Depth and RGB vision platform for computer vision and AI developers.
Camera Specification | Physical Parameters |
Depth technology: Time of Flight | Data Connection: USB 3.0 Type-C/Ethernet |
Wavelength: 850nm | Power input: USB 3.0 Type-C/PoE+/DC 12V/2A Power Adapter |
Depth Range: *0.25-5.46m (depending on depth mode) | Trigger: Supported |
Depth Resolution/FPS: up to 1024X1024@15fps (WFOV), 640X576@30fps (NFOV) | Power Consumption: Average <13W |
Depth FOV: H 120॰ V 120॰ (WFOV), H 75॰ V 65॰ | Operating Environment: 10॰C-25॰C; Indoor/ Semi-Outdoor; 8-90%RH (non-condensing) |
RGB Resolution/FPS: up to 3840X2160@25fps | SDK Support: Orbbec SDK |
RGB FOV: H 80॰ V 51॰ | Data Output: Point Cloud, Depth Map, IR & RGB |
Processing: NVIDIA Jetson Nano | Dimensions (W*H*D): *115mm х 40 mm х 145mm |
* Depth typical systematic error (accuracy)* <11 mm + 0.1% distance; Depth random error std. dev.(precision)* ≤ 17mm | Weight: 560g |
* 2D and 3D files available for download at Github | Installation: Bottom: ¼-20UNC Side: 4 х M2.5 |
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