drone News - CNX Software - Embedded Systems News

May 19, 2023May 19, 2023 by Jean-Luc Aufranc (CNXSoft) - No Comments

NXP S32K344 evaluation board for mobile robots offers one 100BaseT1, six CAN-FD interfaces

MR-CANHUBK344 is an evaluation board based on NXP S32K344 Arm Cortex-M7 automotive general-purpose microcontroller designed for mobile robotics applications such as autonomous mobile robots (AMR) and automated guided vehicles (AGV) with a 100baseT1 Ethernet interface and six CAN-FD ports. The six CAN bus connectors come in three pairs of CAN-FD, CAN-SIC (signal improvement), and CAN-SCP (secure) interfaces using NXP chips. The board can notably be used for tunneling CAN over Ethernet using IEEE1722, plus the board is equipped with an SE050 Secure element with NFC for authentication, and various general-purpose peripheral interfaces via DroneCode standard JST-GH connectors. MR-CANHUBK344 evaluation board specifications: MCU – NXP S32K344 lockstep Cortex-M7 microcontroller @ up to 160 MHz with 4MB flash, 512KB SRAM, 6x CAN bus interfaces, up to 218 I/Os, AEC-Q100 compliant Ethernet – ASIL-B compliant 100BASE-T1 Ethernet PHY (TJA1103) 6x CAN-FD interfaces with 2x CAN Bus with flexible data rate through TJA144x automotive […]

April 19, 2023April 19, 2023 by Jean-Luc Aufranc (CNXSoft) - 8 Comments

AAEON BOXER-8224AI – An NVIDIA Jetson Nano AI Edge embedded system for drones

BOXER 8224AI board AI Edge NVIDIA Jetson Nano embedded system

AAEON BOXER-8224AI is a thin and lightweight AI edge embedded system solution based on NVIDIA Jetson Nano system-on-module and designed for drones, or other space-constrained applications such as robotics. AAEON BOXER products are usually Embedded Box PCs with an enclosure, but the BOXER-8224AI is quite different as it’s a compact and 22mm thin board with MIPI CSI interfaces designed to add computer vision capability to unmanned areal vehicles (UAV), as well as several wafers for dual GbE, USB, and other I/Os. BOXER-8224AI specifications: AI Accelerator – NVIDIA Jetson Nano CPU – Arm Cortex-A57 quad-core processor System Memory – 4GB LPDDR4 Storage Device – 16GB eMMC 5.1 flash Dimensions – 70 x 45 mm Storage – microSD slot Display Interface – 1x Mini HDMI 2.0 port Camera interface – 2x MIPI CSI connectors Networking 2x Gigabit Ethernet via wafer connector (1x NVIDIA, 1x Intel i210) Optional WiFi, Bluetooth, and/or cellular connectivity […]

March 9, 2023March 9, 2023 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

BeaglePlay – A $99 Texas Instruments AM625 industrial SBC with plenty of communication and expansion options

The BeagleBoard.org Foundation has just launched their latest single board computer with the BeaglePlay SBC powered by a Texas Instruments AM625 Cortex-A53/M4/R5 processor with 16GB eMMC flash, 2GB DDR2, and a wide range of I/Os, wired and wireless communication options, and support for expansion module compatible with MikroBus, Grove, and Qwiic connectors. Two wired Ethernet are offered, namely a typical Gigabit Ethernet RJ45 port, as well as a single-pair Ethernet RJ11 port limited to 10 Mbps but with a much longer range and power over data, and wireless connectivity includes dual-band WiFi 4, Bluetooth LE, and Sub-GHz. The board also features HDMI and MIPI DSI display interfaces and a MIPI CSI camera interface. BeaglePlay specifications: SoC – Texas Instruments Sitara AM625 (AM6254) with Quad-core 64-bit Arm Cortex-A53 processor @ 1.4 GHz Arm Cortex-M4F at up to 400 MHz Arm Cortex-R5F PowerVR Rogue 3D GPU supporting up to 2048×1080 @ 60fps, […]

December 15, 2022December 15, 2022 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

Business card-sized SBC ships with Intel Core Tiger Lake or AMD Ryzen V2000 processor

We’ve recently reviewed the UP 4000 SBC as a more powerful x86 alternative to Raspberry Pi 4, but if it still does not cut it, AAEON de next-TGU8 or de next-V2K8 should, as the business card-sized single board computers (SBC) are equipped with respectively an Intel Tiger Lake processor up to a Core i7-1185G7E, and an AMD Ryzen Embedded V2000 SoC up to Ryzen Embedded V2516. But the comparison stops at the size, as both SBCs offer sets of features different from the usual Raspberry Pi form factor with notably up to 16GB RAM, SATA and NVMe storage, dual Ethernet (1x 2.5GbE, 1x Gigabit Ethernet), dual 4K display output via HDMI and eDP, some USB 3.2 ports, as well as serial and I/O interfaces via headers. de next-TGU8/V2K8 SBC specifications: SoC de next-TGU8 Intel Core i7-1185G7E quad-core/octa-thread processor @ 1.80GHz / 4.40GHz with Intel UHD graphics; TDP: 15W (TPD up: […]

September 23, 2022November 30, 2022 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

Miniature dual camera Full HD or 4K encoder boards support RGB and thermal cameras

Z3 Technology has introduced several miniature dual-camera encoder boards with the PoE-capable FV2K-13A and FV4K-13A boards capable of handling two visible and/or thermal cameras at Full HD or 4K resolution respectively, along with the FV2K-15A and FV4K-15A variants equipped with low-profile connectors. All four models enable H.265/H.264 video streaming of a single or dual camera system, support ONVIF Profile S and T profile, and comply with the NDAA law in the US. This set of features as well as low power consumption and the lightweight designs make the boards suitable for UAV, inspection, surveillance, and other weight-constrained applications. Z3 Technology FV2K-13A and FV4K-13A dual-camera encoder boards specifications: SoC – Ambarella CV22 quad-core Cortex-A53 processor with 4Kp60 encoder (see PDF product brief) Storage – MicroSD, USB, or NFS Camera interfaces FV2K-13A Visible Camera Formats – Sony FCB-EV7520(A) and FCB-EV9500L HD and SD IR Formats – RS170, NTSC/PAL, and LVDS FV4K-13A Visible […]

September 19, 2022September 22, 2022 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

Ochin Raspberry Pi CM4 carrier board is made for drones and robots

Ochin Raspberry Pi 4 carrier board for robots drones

There are plenty of carrier boards for Raspberry Pi CM4, but the Ochin looks a bit different, as it is specifically designed for drones and robots, and the compact carrier board exposes most interfaces through low-profile GHS connectors instead of standard ports or headers. About the size of the Raspberry Pi CM4 itself, the board also comes with a USB Type-C port to flash the eMMC flash, two MIPI CSI connectors and four USB 2.0 GHS connectors to add cameras to your robotics projects, and supports LiPo batteries. Ochin specifications: Supported modules – Raspberry Pi CM4 with Broadcom BCM2711 quad-core Cortex-A72 processor, up to 8GB RAM, up to 32GB eMMC flash (the CM4 Lite is not supported since there’s no microSD card on the board), 4Kp60 H.265 decode, 1080p30 H.264 encode, and optional WiFI 5 and Bluetooth 5.0 USB – 1x USB 2.0 Type-C port Camera I/F – 1x 4-lane […]

August 26, 2022August 27, 2022 by Jean-Luc Aufranc (CNXSoft) - No Comments

WAFER-TGL-U 3.5-inch Tiger Lake SBC offers 3x 2.5GbE ports, SATA, 4x display interfaces

IEI’s WAFER-TGL-U is a 3.5-inch SBC based on a choice of Intel Tiger Lake UP3 processors with up to 32GB RAM, SATA storage, three 2.5 Gbps Ethernet ports, four display interfaces including HDMI, DisplayPort, and the company’s custom iDPM 3040 slot for eDP/LVDS/VGA, as well as four USB 3.2 ports. The board also comes with M.2 sockets to add 4G LTE or 5G cellular connectivity, a few RS232/RS422/RS485 ports, and IEI says it is ideal for space-constrained applications such as AGV (Automated Guided Vehicle), AMR (Autonomous Mobile Robot), and small cabinets in factories. WAFER-TGL-U specifications: Tiger Lake UP3 SoC (One or the other) Intel Core i7-1185G7E quad-core processor up to 4.4GHz 12MB cache, TDP=28/15/12W Intel Core i5-1145G7E quad-core processor up to 4.1GHz, 8MB Cache, TDP=28/15/12W Intel Core i3-1115G4E dual-core processor up to 3.9GHz, dual-core, 6M Cache, TDP=28/15/12W Intel Celeron 6305E (up to 1.8GHz, dual-core, 4M Cache, TDP=15W) System Memory – […]

December 16, 2021December 16, 2021 by Sponsored Post - No Comments

Tiny, high-precision GPS modules target UAV’s, wearables (Sponsored)

With the rapid development of the Internet of Things, positioning requirements are getting more strict notably with the need for higher precision and smaller GNSS modules. If you are looking for compact GPS modules that support a variety of satellite navigation systems, including China’s Beidou satellite navigation system BDS, the United States’ GPS, and Russia’s GLONASS with low power consumption (3.3V, 30mA), you may consider Ai-Thinker’s GP-01 and GP-02 GPS modules offering the smallest size. The GP-01 module has a total of 24 interfaces with five GPIO pins, while the GP-02 module has a total of 18 interfaces with three GPIO pins. These two modules are also available in development boards for ease of evaluation and development. Both are cheap, reliable, and based on the state of the art technologies. Thanks to its small size of only 10.3 x 9.9 x 2.4 mm, the GP-02 module can be easily embedded […]