{"id":17464,"date":"2023-01-06T07:59:32","date_gmt":"2023-01-06T07:59:32","guid":{"rendered":"http:\/\/44.206.56.9\/?post_type=news&#038;p=17464"},"modified":"2023-08-09T09:49:20","modified_gmt":"2023-08-09T09:49:20","slug":"orbbec-femto-mega-3d-depth-and-4k-rgb-camera-features-nvidia-jetson-nano-microsoft-tof-technology","status":"publish","type":"news","link":"https:\/\/www.orbbec.com\/staging\/news\/orbbec-femto-mega-3d-depth-and-4k-rgb-camera-features-nvidia-jetson-nano-microsoft-tof-technology\/","title":{"rendered":"Orbbec Femto Mega 3D depth and 4K RGB camera features NVIDIA Jetson Nano, Microsoft ToF technology"},"content":{"rendered":"<p><img fetchpriority=\"high\" decoding=\"async\" class=\"alignnone size-full wp-image-19899\" src=\"https:\/\/new-orbbec3d-s3.s3.amazonaws.com\/wp-content\/uploads\/2023\/06\/07114052\/Orbbec-Femto-Mega-3D-depth-and-4K-RGB-camera-features-NVIDIA-Jetson-Nano-Microsoft-ToF-technology.png\" alt=\"\" width=\"887\" height=\"209\" srcset=\"https:\/\/new-orbbec3d-s3.s3.amazonaws.com\/wp-content\/uploads\/2023\/06\/07114052\/Orbbec-Femto-Mega-3D-depth-and-4K-RGB-camera-features-NVIDIA-Jetson-Nano-Microsoft-ToF-technology.png 887w, https:\/\/new-orbbec3d-s3.s3.amazonaws.com\/wp-content\/uploads\/2023\/06\/07114052\/Orbbec-Femto-Mega-3D-depth-and-4K-RGB-camera-features-NVIDIA-Jetson-Nano-Microsoft-ToF-technology-300x71.png 300w, https:\/\/new-orbbec3d-s3.s3.amazonaws.com\/wp-content\/uploads\/2023\/06\/07114052\/Orbbec-Femto-Mega-3D-depth-and-4K-RGB-camera-features-NVIDIA-Jetson-Nano-Microsoft-ToF-technology-768x181.png 768w\" sizes=\"(max-width: 887px) 100vw, 887px\" \/><\/p>\n<p>Orbbec Femto Mega is a programmable multi-mode 3D depth and RGB camera based on NVIDIA Jetson Nano system-on-module and based on Microsoft ToF technology found in Hololens and Azure Kinect DevKit. As an upgrade of the earlier Orbbec Femto, the camera is equipped with a 1MP depth camera with a 120 degrees field of view and a range of 0.25m to 5.5m as well as a 4K RGB camera, and enables real-time streaming of processed images over Ethernet or USB.<\/p>\n<p><strong>Orbbec Femto Mega specifications:<\/strong><\/p>\n<p><strong>SoM<\/strong> \u2013 <a href=\"https:\/\/www.cnx-software.com\/2020\/10\/06\/nvidia-jetson-nano-2gb-developer-kit\/\" target=\"_blank\" rel=\"noopener\">NVIDIA Jetson Nano system-on-module<\/a><\/p>\n<p><strong>Cameras<\/strong><\/p>\n<ul>\n<li>1MP depth camera\n<ul>\n<li>Precision: \u226417mm<\/li>\n<li>Accuracy: &lt; 11 mm + 0.1% distance<\/li>\n<li>NFoV unbinned &amp; binned\uff1aH 75\u00b0V 65\u00b0<\/li>\n<li>WFoV unbinned &amp; binned\uff1aH 120\u00b0V 120\u00b0<\/li>\n<li>Resolutions &amp; framerates\n<ul>\n<li>NFoV unbinned: 640\u00d7576 @ 5\/15\/25\/30fps<\/li>\n<li>NFoV binned: 320\u00d7288 @ 5\/15\/25\/30fps<\/li>\n<li>WFoV unbinned: 1024\u00d71024 @ 5\/15fps<\/li>\n<li>NFoV binned: 512\u00d7512 @ 5\/15\/25\/30fps<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<li>4K RGB camera\n<ul>\n<li>FOV \u2013 H: 80\u00b0, V: 51\u00b0b D: 89\u00b0\u00b12\u00b0<\/li>\n<li>Resolutions &amp; framerates with MJPEG\/YUY2\/H.264\/H.265 encoding\n<ul>\n<li>3840\u00d72160 @ 5\/15\/25fps<\/li>\n<li>2560\u00d71440 @ 5\/15\/25fps<\/li>\n<li>1920\u00d71080 @ 5\/15\/25\/30fps<\/li>\n<li>1280\u00d7720 @ 5\/15\/25\/30fps<\/li>\n<li>1280\u00d7960 @ 5\/15\/25\/30fps<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><strong>Sensor<\/strong> \u2013 6 DOF IMU sensor<\/p>\n<p><strong>Host interfaces<\/strong> \u2013 USB 3.0 Type-C, Ethernet, or 8-pin connector<\/p>\n<p><strong>Power Supply<\/strong> \u2013 5V\/3A via USB Type-C port or PoE<\/p>\n<p><strong>Power Consumption (average)<\/strong> \u2013 DC: 10W; PoE: 14W<\/p>\n<p><strong>Temperature Range<\/strong> \u2013 0 \u2013 40\u00b0C<\/p>\n<p><strong>Certifications<\/strong> \u2013 Class 1, FCC, RoHS 2.0, CE<\/p>\n<p>The camera works with hosts, which can be servers or the cloud, running Windows or Linux, and is supported by the Orbbec SDK. The NVIDIA Jetson Nano runs advanced depth vision algorithms to convert raw data to precise depth images, and eliminates the need for an external PC or compute device on-site.<\/p>\n<p>Jon Yee, Depth PM Director, Microsoft says \u201cOrbbec\u2019s Femto Mega extends the use of Microsoft\u2019s depth technology, used in Hololens and Azure Kinect DevKit, to a broad range of industrial applications\u201d and Dr. Suraj Nair, CTO, Speedcargo Technologies, Singapore has been<br \/>\ntrialing the camera for cargo flight capacity optimization at international airports replacing larger and more expensive systems based on <a href=\"https:\/\/www.cnx-software.com\/2018\/05\/09\/microsoft-introduces-project-kinect-for-azure\/\" target=\"_blank\" rel=\"noopener\">Microsoft Azure Kinect<\/a>. Besides logistics operations, the Femto Mega camera is expected to be used in robotics, manufacturing, retail, healthcare, and fitness solutions.<\/p>\n<p>The Orbbec Femto Mega camera is available now, but we were told pricing can be provided upon request from customers. More details can be found on the <a href=\"https:\/\/www.orbbec.com\/staging\/products\/\">product page<\/a>, and Orbbec is also demonstrating the Femto Mega and other new 3D camera products at CES 2023, notably<br \/>\nthe Gemini 2 active stereo IR camera with a range of up to 10 meters, and the Astra 2 structured light cameras with up to 2MP depth\u00a0 resolution.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Orbbec Femto Mega is a programmable multi-mode 3D depth and&#8230;<\/p>\n","protected":false},"featured_media":17445,"template":"","section":[81,82,73],"class_list":["post-17464","news","type-news","status-publish","has-post-thumbnail","hentry","section-microsoft-news","section-nvidia-news","section-press-release"],"acf":[],"aioseo_notices":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.0 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Orbbec Femto Mega 3D depth and 4K RGB camera features NVIDIA Jetson Nano, Microsoft ToF technology - 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