Giveaway Week 2024 winners announced!

Giveaway Week 2024 Prizes

We’re now ready to announce the winners of CNX Software’s Giveaway Week 2024. We offered some of the review samples we tested (and some we did not test) in the last year, and for the fourth year running, RAKwireless also gave away two IoT development kits shipped directly to winners. This year’s prizes also included a RISC-V motherboard, a 3D depth camera, a few Arm development boards, two touchscreen displays, and an Alder Lake-N mini PC/router. All those products can be seen in the photo, minus some accessories. You’ll find more than seven devices because we organized the third Giveaway Week on CNX Software Thailand simultaneously with four prizes. We had seven winners on CNX Software: Jupiter RISC-V mini-ITX motherboard – François-Denis, Canada Orbbec Femto mega 3D depth and 4K RGB camera  – Reifu, Japan RAKwireless Blues.ONE LoRaWAN, LTE-M, and NB-IoT devkit – OldCrow, Portugal Mixtile Core 3588E development kit […]

Giveaway Week 2024 – Orbbec Femto mega 3D depth and 4K RGB camera

Orbbec Femto Mega review OrbbecViewer

The second prize of Giveaway Week 2024 is the Orbbec Femto Mega 3D depth and 4K RGB camera powered by an NVIDIA Jetson Nano module and featuring Microsoft ToF technology found in Hololens and Azure Kinect DevKit. The camera connects to Windows or Linux host computers through USB or Ethernet and is supported by the Orbbec SDK with the NVIDIA Jetson Nano running depth vision algorithms to convert raw data to precise depth images. I first reviewed the Orbbec Femto Mega using the Orbbec Viewer for a quick test connected to an Ubuntu laptop (as shown above) before switching to a more complex demo using the Orbbec SDK for body tracking in Windows 11. Although it was satisfying once it worked, I struggled quite a lot to run the body tracking demo in Windows 11, so there’s a learning curve, and after you have this working, you’d still need to […]

Orbbec Gemini 335Lg 3D depth and RGB camera features MX6800 ASIC, GMSL2/FAKRA connector for multi-device sync on NVIDIA Jetson Platforms

Gemini 335Lg 3D Camera

The Orbbec Gemini 335Lg is a 3D Depth and RGB camera in the Gemini 330 series, built with a GMSL2/FAKRA connector to support the connectivity needs of autonomous mobile robots (AMRs) and robotic arms in demanding environments. As an enhancement of the Gemini 335L, the 335Lg features a GMSL2 serializer and FAKRA-Z connector ensuring reliable performance in industrial applications requiring high mobility and precision. The Gemini 335Lg integrates with the Orbbec SDK, enabling flexible platform support across deserialization chips, carrier boards, and computing boxes, including NVIDIA’s Jetson AGX Orin and AGX Xavier. The device can operate in both USB and GMSL (MIPI) modes, which can be toggled via a switch next to the 8-pin sync port, with GMSL as the default. The GMSL2/FAKRA connection provides high-quality streaming with synchronized multi-device capability, enhancing adaptability for complex setups. Previously, we covered several 3D cameras from Orbbec, including the Orbbec Femto Mega 3D […]

Femto Mega 3D depth camera review – OrbbecViewer and Orbbec SDK in Ubuntu 22.04, body tracking in Windows 11

Orbbec Femto Mega Review

We had a quick look at the Orbbec Femto Mega 3D depth and 4K RGB camera at the end of last year with a look at the hardware and a quick try with the OrbbecViewer program in Ubuntu 22.04. I’ve now had the time to test the OrbbecViewer in more detail, check out the Orbbec SDK in Linux and various samples, and finally test the Femto Mega with a body tracking application using Unity in Windows 11. A closer look at OrbbecViewer program and settings As noted in the first part of the review, the OrbbecViewer program provides color, depth, and IR views for the camera. Let’s go into details for each. The Color mode would be the same as your standard USB color camera. The Femto Mega supports resolution from 1280×720 at 30 fps to 3840×2160 at 25 fps using MJPG, H.264, H.265, or RGB (converted from MJPG). We […]

Orbbec Femto Mega 3D depth camera review – Part 1: Unboxing, teardown, and first try

Orbbec Femto Mega review OrbbecViewer

Orbbec sent us a Femto Mega 4K RGB and 3D depth and camera for review. The camera is powered by an NVIDIA Jetson Nano module, features Microsoft ToF technology, and outputs RGB, TOF, and IR data through a USB-C port or a gigabit Ethernet port. I’ll start the two-part with an unboxing, a teardown, and a quick try with the OrbbecViewer program on Ubuntu 22.04 in the first part of the review because checking out the software and SDK in more detail in the second part later on. Femto Mega depth and RGB camera unboxing I received the camera in a cardboard package showing the camera model and key features: “ORBBEC Femto Mega DEPTH+RGB CAMERA”. The package’s content is comprised of a USB-C cable to connect to the host, the camera, and a 12V/2A power adapter. The front side of the camera features the RGB camera sensor, the TOF (Time-of-Flight) […]

Persee N1 – A modular camera-computer based on the NVIDIA Jetson Nano

Orbbec Parsee N1 camera computer kit

The Persee N1 is a modular camera-computer kit recently launched by 3D camera manufacturer, Orbbec. Not too long ago, we covered their 3D depth and RGB USB-C camera, the Femto Bolt. The Persee N1 was designed for 3D computer vision applications and is built on the Nvidia Jetson platform. It combines the quad-core processor of the Jetson Nano with the imaging capabilities of a stereo-vision camera. The Jetson Nano’s impressive GPU makes it particularly appropriate for edge machine learning and AI projects. The company also offers the Femto Mega, an advanced and more expensive alternative that uses the same Jetson Nano SoM. The Persee N1 camera-computer also features official support for the open-source computer vision library, OpenCV. The camera is suited for indoor and semi-outdoor operation and uses a custom application-specific integrated circuit (ASIC) for enhanced depth processing. It also provides advanced features like multi-camera synchronization and IMU (inertial measurement […]

Orbbec Femto Bolt 3D depth and RGB USB-C camera supports Microsoft ToF technology

Orbbec Femto Bolt

Orbbec Femto Bolt is a 3D depth and RGB USB-C camera developed in collaboration with Microsoft and integrating the same ToF (Time-of-Flight) technology as found in the Microsoft Azure Kinect camera module and HoloLens 2 mixed reality head-mounted display. The new model follows the launch of the fully integrated Femto Mega featuring an NVIDIA Jetson Nano module introduced in January with the same ToF technology, so the new USB-C camera simply allows a wider selection of hosts. Orbbec has also launched the Femto Mega I variant with an IP65 metal enclosure. Orbbec Femto Bolt specifications: Cameras Depth camera 1 Mega Pixel ToF sensor 850nm wavelength 0.25 to 5.45m range depending on the depth mode Up to 1024×1024 @ 15 fps (WFoV) or 640×579 @ 30 fps (NFoV) FoV Wide – H: 120°; V: 120° Narrow – H: 75°; V: 65° RGB camera 4K resolution up to 3840×2160 @ 25 fps […]

Orbbec Femto Mega 3D depth and 4K RGB camera features NVIDIA Jetson Nano, Microsoft ToF technology

Femto Mega 3D camera

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. Orbbec Femto Mega specifications: SoM – NVIDIA Jetson Nano system-on-module Cameras 1MP depth camera Precision: ≤17mm Accuracy: < 11 mm + 0.1% distance NFoV unbinned & binned:H 75°V 65° WFoV unbinned & binned:H 120°V 120° Resolutions & framerates NFoV unbinned: 640×576 @ 5/15/25/30fps NFoV binned: 320×288 @ 5/15/25/30fps WFoV unbinned: 1024×1024 @ 5/15fps NFoV binned: 512×512 @ 5/15/25/30fps 4K RGB camera FOV – H: 80°, V: 51°b D: 89°±2° Resolutions […]

EmbeddedTS embedded systems design