MIKRIK V2 Robot Car is an entry-level, open-source robotics kit built for ROS and 3D computer vision

MIKRIK V2 open source robotics kit

The MIKRIK V2 Robot Car is an open-source robotics kit for studying 3D computer vision and is compatible with both ROS1 and ROS2 software suites. The two-wheel-drive robot is powered by a Raspberry Pi 4 Model B (as a ROS1 differential drive controller) and a more powerful x86 or ARM single-board computer that can support ROS2 applications like the LattePanda Delta 3, Intel NUC, or NVIDIA Jetson Nano. The robot car uses the Intel Realsense D435i camera for 3D depth vision. It is a less expensive alternative to the iRobot Create, Husarion, and TurtleBot, and compares favorably with NVIDIA’s open-source JetBot AI robot platform. The robot car’s chassis is squared-off and made from shatterproof flex plastic. The CAD files are available on GitHub for self-assembly using a laser cutter and a 3D printer. The assembly and setup process is documented on the Hackster project page. On the software end, it […]

RAUC open-source OTA update solution for embedded Linux ported to Rock Pi 4 SBC

RAUC OTA firmware update Rock Pi 4

RAUC open-source OTA update solution enabling A/B updates for embedded Linux images has recently been ported to the Radxa Rock Pi 4 Model B SBC powered by a Rockchip OP1 SoC by the project’s maintainer, Leon Anavi working for Konsulto Group. If you run a Linux distribution like Ubuntu, Debian, or Fedora, packages and OS images are taken care of automatically or by running a few commands. However, software engineers who build custom embedded Linux images with the Yocto Project or Buildroot must handle this themselves. Luckily, there are already open-source OTA firmware update solutions such as Mender, Balena, Torizon, OSTree, Snap, or RAUC, and we’ll look at the latter today. RAUC (Robust Auto-Update Controller) was started by Pengutronix in 2015 and eventually adopted by the community. It’s a lightweight update client that runs on an Embedded Linux device and controls the A/B update procedure when a new firmware revision […]

NDAA-compliant NVIDIA Jetson Orin NX and Nano bundles target drones

ARK Jetson Orin Nano NDAA Bundle

ARK Electronics has recently introduced NDAA-complaint NVIDIA Jetson Orin NX and Nano bundles designed for drones with the company’s Jetson PAB (Pixhawk Autopilot Bus) carrier board, an ARKV6X flight controller, and an SSD preloaded with NVIDIA Jetpack and the ARK UI. I’ve come across the board following a post on X pointing to an article on Tom’s Hardware about the US passing a bill called “Countering CCP Drones Act” that would effectively ban DJI drones in the US.  DJI is supposed to have a 90% market share of the U.S. hobby market, a 70% market share of the industrial market, and an over 80% market share of the first responder market, so not everybody will be happy if the bill passes in the senate and becomes enacted by the US president. But US companies making NDAA-compliant hardware and drones may bit mind, and that’s how I discovered ARK Electronics NVIDIA […]

Waveshare MAX9296A GMSL camera board is designed for NVIDIA Jetson Orin developer boards

Waveshare 2 Ch GMSL Camera Adapter Board

Waveshare MAX9296A GMSL camera board allows two cameras to be connected to the Jetson Orin Nano / NX developer boards. The board is built around a MAX9296A Deserializer IC and supports GMSL1 and GMSL2 protocols and ensures fast, low-latency video transmission. The board uses a high-speed interface for transmitting video data, making it ideal for applications like self-driving cars, machine vision, and security systems. Previously we have seen GMSL used in products like AAEON BOXER-8645AI, Neousys Technology NRU-110V, and others. We have also written about NileCAM21 which can work with a 15-meter-long cable attached to it feel free to check those out if you are interested in those products. Waveshare  MAX9296A GMSL camera board specifications Waveshare part number – MAX9296-GMSL-Camera-Board Deserializer IC – Maxim (ADI) MAX9296A Host support – NVIDIA Jetson Orin Nano / Jetson Orin NX dev boards Serializer model support – MAX9295, MAX96717, MAX96705, etc. GMSL input – 2-ch GMSL2 (compatible […]

DFI X6-MTH-ORN fanless Edge AI Box computer combines 14th Gen Intel Core Ultra SoC with NVIDIA Jetson Orin AI module

DFI X6-MTH-ORN Edge AI Box computer

DFI X6-MTH-ORN is a fanless Edge AI Box Computer that combines an NVIDIA Jetson Orin NX/Nano AI module with a 14th Gen Intel Core Ultra “Meteor Lake-U” 15W processor for AI-driven applications leveraging GPU computing, machine learning, and image processing. It’s a fully modular computer with an Intel COM Express Type 6 or Type 10 module, an NVIDIA Jetson Orin module, and five M.2 sockets for expansion. The fanless embedded system takes up to 64GB DDR5 RAM, supports M.2 NVMe and 2.5-inch SATA storage, offers seven video outputs (3x HDMI, 3x DP+, VGA), and six Gigabit Ethernet ports. The X6-MTH-ORN is designed for industrial applications and environments with serial interfaces, wide 9V-36V DC input, and an extended -20°C to 60°C temperature range. DFI X6-MTH-ORN specifications: Meteor Lake-U SoC (one of the other) Intel Core Ultra 7 165U 12-core (2P+8E+2LPE) processor @ 1.7 / 4.9  GHz with 12MB cache, Intel 4Xe […]

Linux 6.9 release – Main changes, Arm, RISC-V, and MIPS architectures

Linux 6.9 release

Linus Torvalds has just announced the release of Linux 6.9 on LKML: So Thorsten is still reporting a few regression fixes that haven’t made it to me yet, but none of them look big or worrisome enough to delay the release for another week. We’ll have to backport them when they get resolved and hit upstream. So 6.9 is now out, and last week has looked quite stable (and the whole release has felt pretty normal). Below is the shortlog for the last week, with the changes mostly being dominated by some driver updates (gpu and networking being the big ones, but “big” is still pretty small, and there’s various other driver noise in there too). Outside of drivers, it’s some filesystem fixes (bcachefs still stands out, but ksmbd shows up too), some late selftest fixes, and some core networking fixes. And I now have a more powerful arm64 machine […]

AAEON BOXER-8645AI Jetson AGX Orin-powered embedded AI system supports up to 8 GMSL2 cameras

AAEON BOXER-8645AI embedded AI system

AAEON BOXER-8645AI is an embedded AI system powered by NVIDIA Jetson AGX Orin that features eight GMSL2 connectors working with e-con Systems’ NileCAM25 Full HD global shutter GMSL2 color cameras with up to 15-meter long cables. The BOXER-8645AI is fitted with the Jetson AGX Orin 32GB with 32GB LPDDR5 and 64GB flash and up to 200 TOPS of AI performance. Other features include M.2 NVMe and 2.5-inch SATA storage, 10GbE and GbE networking ports,  HDMI videos, and a few DB9 connectors for RS232, RS485, DIO, and CAN Bus interfaces. The embedded system takes 9V to 36V wide DC input from a 3-pin terminal block. AAEON BOXER-8645AI specifications: AI accelerator module – NVIDIA Jetson AGX Orin 32GB CPU – 8-core Arm Cortex-A78AE v8.2 64-bit processor with 2MB L2 + 4MB L3 cache GPU / AI accelerators NVIDIA Ampere architecture with 1792 NVIDIA CUDA cores and 56 Tensor Cores @ 1 GHz […]

Smartcam T1205 – An IP65-rated AI camera with NVIDIA Jetson Orin Nano 40 TOPS system-on-module

NVIDIA Jetson Orin AI camera

SmartCow’s SmartCam T1025 is a powerful AI camera based on the NVIDIA Jetson Orin Nano 8GB system-on-module with 40 TOPS of AI performance. The camera features M12 connectors for gigabit Ethernet, power, and serial interface, and has been certified with an IP65 ingress protection rating for outdoor operation. The camera also comes with 256GB NVMe SSD for the OS (Jetpack 6.0) and data storage and supports 4G LTE and GPS connectivity through an M.2 module. The company also introduced the SmartCam T1023 model compatible with NVIDIA Jetson Nano and Jetson TX2 NX for applications that do not require as much processing power and/or memory as provided by the Jetson Orin Nano AI camera. SmartCam T1025 specifications: System-on-module – NVIDIA Jetson Orin Nano 8GB CPU – 6-core Arm Cortex-A78AE v8.2 64-bit CPU @ 1.5 GHz with 1.5 MB L2 + 4 MB L3 GPU – 1024-core NVIDIA Ampere GPU @ 625 […]

EmbeddedTS embedded systems design