Femto Mega
About
About Femto Mega
Femto Mega combines time-of-flight depth sensing, RGB imaging and an integrated NVIDIA Jetson compute platform inside the camera assembly. The onboard processor can perform depth processing and selected AI workloads close to the sensors, reducing the amount of raw data that must be transferred to an external computer. Ethernet and USB interfaces support both distributed installations and direct connection to local robot compute.
Orbbec provides SDK access for image streams, calibration data and application integration. The camera is used in mobile robotics, industrial vision, volumetric capture and interactive systems requiring wide-area RGB-D perception with local processing capacity. Femto Mega is commercially supplied as an edge-enabled depth camera with enterprise integration and developer support.
Supply
Supply / Components
- Femto Mega
Nvidia Jetson Nano For Orbbec Femto Mega - Compute & Control - NVIDIA - Orbbec specifies an NVIDIA Jetson Nano system-on-module in Femto Mega - source: store.orbbec.com
Source - Femto Mega
Microsoft Time Of Flight Depth Sensing Technology - Perception - Microsoft - Orbbec’s Femto Mega incorporates Microsoft time-of-flight depth-sensing technology - source: orbbec.com
Source
Research
- Real-Time Automated Ergonomic Monitoring: A Bio-Inspired System Using 3D Computer Vision
2026-01-26 - Research Publication - A real-time ergonomic monitoring system combines MediaPipe pose landmarks with Orbbec Femto Mega depth validation for continuous lifting-risk assessment.
Source - Quantitative analysis of patient motion in walk-through PET scanner and standard axial field of view PET scanner using infrared-based tracking
2024-11-25 - Research Publication - Researchers validate an Orbbec Femto Mega depth camera for infrared-marker motion tracking before comparing patient motion in walk-through and conventional PET systems.
Source
Timeline
- Orbbec launches Femto Mega 3D camera at CES 2023
2023-01-04 - Product Launch - The camera combines a one-megapixel depth sensor with a 4K RGB camera. A built-in NVIDIA Jetson Nano processes depth data without an external computer. Power over Ethernet and USB-C connections support direct deployment and multi-camera networks.
Source
Context
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