TOF Camera Femto Mega I
Liên hệ
Femto Mega I
Femto Mega I is a programmable multi-mode industrial grade (IP65) Depth and RGB camera with real-time streaming of processed images over Ethernet connections. The camera uses Microsoft’s industry proven TOF Technology and the NVIDIA® Jetson™ platform to deliver a software-defined Depth and RGB vision Platform for computer vision and AI developers
- Depth camera with 1 Mega Pixel Tof Sensor and 120º FOV
- 4K RGB with HDR
- 6Dof IMU
- IP65 dust and water protection
- Industrial grade M12 X-coding Ethernet port with PoE
- Sophisticated and accurate Synchoronization trigger control for multi-sensor network
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MÔ TẢ SẢN PHẨM
TOF Camera Femto Mega I Specification
Camera Specification | Physical Parameters |
Depth technology: Time of flight | Data Connection: ethernet (M12 X-coding connector 8 pins) |
Wavelength: 850nm | Power Input: PoE+/DC 12∼24V |
Depth Range: *0.25-3.86m (depending on depth mode) | Trigger: Supported |
Depth Resolution/FPS: Snapshot Mode: Up to 1024X1024@10fps (WFOV), 640X576@10fps (NFOV)Stream Mode: Up to 1024X1024@15fps (WFOV), 640X576@30fps (NFOV) | Power Consumption: Average <11W |
Depth FOV: H 120º V 120º (WFOV), H 75º V 65º (NFOV) | Operating Environment: 0ºC-45ºC; Indoor/Semi-outdoor; 8-90%RH (non-condensing) |
RBG Resolution/FPS: Snapshot Modo: up to 3840X2160@3fps, 1920X1080@10FPSStream; Mode: Up to 3840X2160225fps, 1920X1080@30FPS | SDK Support: Orbbec Industry SDK |
RGB FOV: H 80º V 51º | Data Output: Point Cloud, Depth Map, IR&RGB |
Processing: NVIDIA Jetson Nano | Dimensions (W*H*D): 180mm×50mm×110mm |
IMU: Supported | Weight: 1080g |
*Depth typical systematic error (accuracy)* <11mm+0.1% distance; Depth random error std. dev.(precision)* ≤ 17 mm | Installation: 8×M5 |
TOF Camera Femto Mega I Applications
Depalleztization: The camera can capture spatial information about objects on a pallet. By indentifying the exact location, orientation, and shape of each item, Femto Mega I enables precise robotic picking
Loading and Unloading: The camera Provides accurate distance measurements allowing for precise robotic handling. This depth information minimizes cp;;isions and errors, optimingzing effciency and reducing damage to goods in logistics and manufacturing environments
Large object Dimensioning The camera enables automated dimensioning of large objects on a moving production line. It enables precise volume estimation, better cost calculation, and the possibility to sort out oversized objects
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