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Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Banana Pi BPI-OM7 AI 3D camera pairs BPI-M7 RK3588 SBC with ORBBEC Gemini 2 depth camera

Banana Pi BPI-OM7 AI 3D camera pairs BPI-M7 RK3588 SBC with ORBBEC Gemini 2 depth camera

Banana Pi BPI-OM7

Banana Pi BPI-OM7 is an AI 3D depth camera that combines Banana Pi BPI-M7 low-profile Rockchip RK3588 SBC with an ORBBEC Gemini 2 depth camera, targeting applications in 3D vision, robotics, edge AI, and spatial perception. The solution ships with 8GB of RAM and a 64GB eMMC flash by default, offers HDMI and USB-C video outputs, dual 2.5GbE networking, and a few USB ports. It’s mounted on a tripod for convenience. Banana Pi BPI-OM7 specifications: SoC – Rockchip RK3588 octa-core processor with CPU – 4x Cortex‑A76  cores @ up to 2.4 GHz, 4x Cortex‑A55 core @ 1.8 GHz GPU – Arm Mali-G610 MP4 GPU Video decoder – 8Kp60 H.265, VP9, AVS2, 8Kp30 H.264 AVC/MVC, 4Kp60 AV1, 1080p60 MPEG-2/-1, VC-1, VP8 Video encoder – 8Kp30 H.265/H.264 video encoder AI accelerator – 6 TOPS NPU System Memory – 8GB (default), 16GB, or 32GB LPDDR4x Storage 32GB, 64GB (default), or 128GB eMMC flash […]

Posted on by Debashis Das - 2 Comments on LooperRobotics Insight 9 standalone spatial AI camera features D-Robotics RDK X5 SoC, supports ROS 2 (Crowdfunding)

LooperRobotics Insight 9 standalone spatial AI camera features D-Robotics RDK X5 SoC, supports ROS 2 (Crowdfunding)

LooperRobotics Insight 9

LooperRobotics Insight 9 is an autonomous plug-and-play spatial AI camera designed for embodied intelligence, quadruped robots, and dynamic mobile platforms. Compared to typical USB depth cameras like Intel RealSense D435i or Luxonis OAK-D, which rely on a host PC for processing, the Insight 9 integrates a D-Robotics RDK X5 octa-core Cortex-A55 processor with a 10 TOPS AI accelerator, allowing it to run Visual SLAM (V-SLAM) and depth mapping entirely on-device. The camera features a “Tri-Eye Perception Matrix,” which includes an 8.4MP Sony Starvis IMX415 RGB sensor with an ultra-wide 188° field of view, and two SmartSens SG0132 global shutter sensors for stereoscopic depth. Encased in a passively cooled CNC aluminum chassis, it is also equipped with an automotive-grade Bosch BMI088 IMU capable of 24g high-G tracking, making it suitable for the heavy vibrations of legged locomotion. LooperRobotics Insight 9 specifications: SoC – D-Robotics RDK X5 octa-core Arm Cortex-A55 processor @ 1.5 GHz; […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on Luxonis OAK4 standalone AI vision camera features Qualcomm QCS8550 SoC with up to 52 TOPS performance

Luxonis OAK4 standalone AI vision camera features Qualcomm QCS8550 SoC with up to 52 TOPS performance

Luxonis OAK4 Qualcomm QCS8550 AI camera family

Luxonis OAK 4 is a standalone AI vision system/camera powered by a Qualcomm DragonWing QCS8550 platform delivering up to 52 TOPS of AI performance for on-device real-time perception without relying on a host computer. Four variants are offered: OAK 4 S, OAK 4 D, OAK 4 D Pro, and OAK 4 CS. All four feature 8GB of RAM, 128GB of storage, and a 48 MP RGB camera sensor with rolling shutter, although the OAK 4 CS model can feature a 5MP global shutter camera thanks to support for wappable lenses. Depth sensing is implemented through an OV9282 sensor in the OAK 4 D and OAK 4 D Pro (dual camera) models, and the latter also adds a laser dot projector to improve depth perception. Luxonis OAK 4 specifications: SoC – Qualcomm DragonWing QCS8550 CPU – 1x GoldPlus core @ 3.2 GHz + 4x Gold cores @  2.8 GHz + 3x […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Kyocera triple lens AI depth camera enable recognition of thin and semi-transparent objects, wires

Kyocera triple lens AI depth camera enable recognition of thin and semi-transparent objects, wires

Kyocera triple lens AI camera

Kyocera has unveiled a triple lens AI depth camera capable of recognizing semi-transparent, thin, and fine line-shaped objects that are difficult to detect with the human eye and traditional stereo cameras. The camera can accurately measure the distance to and size of objects which are between 0.3 and 1mm thick, and is expected to be useful in robots for manufacturing, medical applications, and Smart Agriculture. Preliminary specifications: Sensors Left-center, center-right, and left-right cameras Focus distance – About 10 cm Proprietary AI combining multiple parallax data sets from the sensors Ideal for Thin, irregularly shaped linear objects, such as harnesses or ultra-fine wires as small as 0.3mm Reflective objects like metal Translucent objects like plastic Dimensions – 40 x 30 x 28mm It is an evolution of the company’s dual-lens AI depth camera that was already capable of  high-precision distance measurement with 100μm resolution at a 10cm range, but struggled a […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 148 Comments on Giveaway Week 2024 – Orbbec Femto mega 3D depth and 4K RGB camera

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 […]

Posted on by Sayantan Nandy - No Comments on Orbbec Gemini 335Lg 3D depth and RGB camera features MX6800 ASIC, GMSL2/FAKRA connector for multi-device sync on NVIDIA Jetson Platforms

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 […]

Posted on by Sayantan Nandy - No Comments on MentorPi is a ROS2-compatible, Raspberry Pi 5-based robot car with Mecanum or Ackermann chassis

MentorPi is a ROS2-compatible, Raspberry Pi 5-based robot car with Mecanum or Ackermann chassis

Hiwonder MentorPi A1 and MentorPi M1 robot car

MentorPi is a ROS2-compatible robot car powered by the Raspberry Pi 5, designed for AI-driven robotics and Python programming. It offers two chassis options: MentorPi-M1, which features a Mecanum-wheel chassis, and MentorPi-A1, equipped with an Ackermann chassis. Both variants come with high-performance components such as closed-loop encoder motors, STL-19P TOF lidar, 3D depth cameras, and high-torque servos. These enable precise navigation, SLAM mapping, path planning, and dynamic obstacle avoidance, making MentorPi an ideal platform for robotics tasks. The system utilizes a dual-controller architecture to optimize performance. The Raspberry Pi 5 handles AI vision processing and strategic functions, while Hiwonder’s RRC Lite expansion board manages motion control and sensor data processing. This task distribution enhances efficiency in machine vision, AI-powered navigation, and robotic control, allowing MentorPi to tackle complex AI and vision-based applications with ease. MentorPi also supports advanced features like 3D visual mapping and YOLOv5-based object detection for recognizing road […]

Posted on by Debashis Das - 2 Comments on Arduino Nano Matter powered gamepad runs Quake at 27 FPS

Arduino Nano Matter powered gamepad runs Quake at 27 FPS

Arduino Nano Matter gamepad board

Silicon Labs Solutions architect Nicola Wrachien has designed an Arduino Nano Matter gamepad for which he was successfully able to port Quake, a popular first-person shooter game. We have seen developers and engineers port doom on everything from toothbrushes to GPS receivers. Wrachien was previously able to port Doom on a Sparkfun Thing Plus Matter MGM240P at Silicon Labs’ 30th-anniversary celebration. But to make things more interesting and challenging he wanted to see if Quake could be run on the same MGM240SD22VNA MCU, and he succeeded. In the end, he could not only run the game, but he also implemented improved graphics (better than Doom), better physics, 3D rendering, and much more. This gamepad is built around an Arduino Nano Matter board which features MGM240SD22VNA MCU from Silicon Labs, along with 256KB of RAM, which is very low compared to Quake’s original system requirements which is a minimum of 8MB […]

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