robotics

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on M5Stack LLM630 Compute Kit features Axera AX630C Edge AI SoC for on-device LLM and computer vision processing

M5Stack LLM630 Compute Kit features Axera AX630C Edge AI SoC for on-device LLM and computer vision processing

M5Stack LLM630 Compute Kit

M5Stack LLM630 Compute Kit is an Edge AI development platform powered by Axera Tech AX630C AI SoC with a 3.2 TOPS NPU designed to run computer vision (CV) and large language model (LLM) tasks at the edge, in other words, on the device itself without access to the cloud. The LLM630 Compute Kit is also equipped with 4GB LPDDR4 and 32GB eMMC flash and supports both wired and wireless connectivity thanks to a JL2101-N040C Gigabit Ethernet chip and an ESP32-C6 module for 2.4GHz WiFi 6 connectivity. You can also connect a display and a camera through MIPI DSI and CSI connectors. M5Stack LLM630 Compute Kit specifications: SoC – Axera Tech (Aixin in China) AX630C CPU – Dual-core Arm Cortex-A53 @ 1.2 GHz; 32KB I-Cache, 32KB D-Cache, 256KB L2 Cache NPU – 12.8 TOPS @ INT4 (max), 3.2 TOPS @ INT8 ISP – 4K @ 30fps Video – Encoding: 4K; Decoding:1080p […]

Posted on by Debashis Das - 1 Comment on AAEON BOXER-8654AI-KIT – NVIDIA Jetson Orin NX-based Edge AI kit features four gigabit Ethernet ports with PoE support

AAEON BOXER-8654AI-KIT – NVIDIA Jetson Orin NX-based Edge AI kit features four gigabit Ethernet ports with PoE support

AAEON BOXER-8654AI-KIT Edge AI kit

The AAEON BOXER-8654AI-KIT Edge AI kit is a compact development kit built around the NVIDIA Jetson Orin NX modules with four gigabit Ethernet ports (with optional PoE) and an Out-of-Band (OOB) management header, and designed for applications like smart cities, IoT ecosystems, edge AI, and others. The multi-functional carrier board also offers six USB 3.2 Gen 2 ports, HDMI video output, two MIPI CSI, two DB-9 ports for RS-232/422/485 and CAN Bus, and a 40-pin NVIDIA Jetson-compatible GPIO header for I2C, SPI, and UART interfaces. Expansion options include M.2 E and B-key slots for Wi-Fi and 5G modules (with onboard SIM), an M.2 M-Key slot for NVMe SSDs, and a SATA connector. AAEON BOXER-8654AI-KIT specifications SoM – NVIDIA Jetson Orin NX module CPU 8GB Version – 6-core Arm Cortex-A78AE v8.2 64-bit CPU, 1.5MB L2 cache + 4MB L3 cache 16GB Version – 8-core Arm Cortex-A78AE v8.2 64-bit CPU, 2MB L2 […]

Posted on by Debashis Das - No Comments on ESP32-based Waveshare DDSM Driver HAT (B) for Raspberry Pi supports DDSM400 hub motors

ESP32-based Waveshare DDSM Driver HAT (B) for Raspberry Pi supports DDSM400 hub motors

Waveshare DDSM Driver HAT (B) Raspberry Pi DDSM motor driver

Waveshare has recently launched DDSM Driver HAT (B), a compact Raspberry Pi DDSM (Direct Drive Servo Motor) motor driver designed specifically to drive the DDSM400 hub motors. This board is built around an ESP32 MCU and supports wired (USB and UART) and wireless (2.4GHz WiFi) communication. Additionally, the board features a physical toggle switch, which lets it choose between the ESP32 control or USB control modes. On ESP32 control mode you can control the device through a built-in web application. In the USB control mode, the motor driver can be controlled via USB from a host computer sending JSON commands. An XT60 connector is used to power the board, and programming is done through a USB-C port that connects to the ESP32. The board is suitable for robotics projects, especially for mobile robots in 6×6 or 4×4 configurations. Waveshare DDSM Driver HAT (B) specifications: Wireless MCU – Espressif Systems ESP32-WROOM-32E ESP32 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on NanoCOM-ADN – A COM Express Type 10 Module based on Intel Alder Lake-N SoC

NanoCOM-ADN – A COM Express Type 10 Module based on Intel Alder Lake-N SoC

AAEON NanoCOM-ADN COM Express module

AAEON NanoCOM-ADN is a compact (84 x 55mm) COM Express Type 10 module based on Intel Alder Lake-N SoCs, namely Processor N50/N97, Atom x7425E, or Core i3-N305 that adds another option to the SMARC, Qseven, and COM Express Type 6 modules offered by the company with the same processors. The NanoCOM-ADN computer-on-module features up to 16GB LPDDR5x soldered-on memory, up to 64GB eMMC flash, and two Intel i226-V 2.5GbE controllers. Its standard 220-pin COM Express board-to-board connector exposes two SATA interfaces, four PCIe Gen3 x1 interfaces, DDI and LVDS video outputs, eight USB interfaces, and more. AAEON explains the Alder Lale-N COM Express Type 10 CPU module is especially suited to digital signage, healthcare imaging, machine vision, industrial, robotics, and edge computing applications.   AAEON NanoCOM-ADN specifications: Alder Lake N-series SoC (one or the other) Intel Atom x7425E quad-core processor up to 3.4 GHz with 6MB cache, 24EU Intel UHD […]

Posted on by Debashis Das - No Comments on SO-ARM100 is an open-source AI robotic arm kit with LeRobot integration and NVIDIA Jetson support

SO-ARM100 is an open-source AI robotic arm kit with LeRobot integration and NVIDIA Jetson support

SO ARM100 AI Arm Kit

Seeed Studio has recently started selling the SO-ARM100 AI Robotic Arm kit, a low-cost AI arm designed for real-world robotics applications. This open-source hardware device features a 6-degree-of-freedom design with high-torque STS3215 bus servos, a 12-bit magnetic encoder for precise angle sensing, and UART for communication. The arm comes with motors, driver boards, power adapters, and other 3D-printed parts like arm segments, base, grippers, and motor mounts. Designed to work with the NVIDIA Jetson edge platform, it is ideal for grasping and placing. All these features make this device suitable for education, research, and AI-driven robotics projects. SO-ARM100 AI robotic arm kit specifications Degrees of Freedom (DOF) – 6 Motor control Total servo – 12x STS3215 bus servos Servo torque Arm kit Standard – 19.5 kg.cm @ 7.4V Arm kit pro – 30 kg.cm @ 12V (Pro) Angle Sensor – 12-bit magnetic encoder USB – USB-C for programming and testing […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 1 Comment on Orange Pi CM5 “Tablet” Base Board drops Ethernet for WiFi 5, adds battery support, M.2 socket, 26-pin GPIO header…

Orange Pi CM5 “Tablet” Base Board drops Ethernet for WiFi 5, adds battery support, M.2 socket, 26-pin GPIO header…

Orange Pi CM5 Tablet Base Board

The Orange Pi CM5 was launched as an alternative to Raspberry Pi CM4/CM5 last July with a Rockchip RK3588S octa-core Cortex-A76/A55 SoC, up to 16GB LPDDR4x, 256GB eMMC flash, and three board-to-board connectors maintaining partially compatibility with the Raspberry Pi Compute Module 4. At the time, Orange Pi also introduced the Orange Pi CM5 Base Board with HDMI 2.1, one Gigabit Ethernet port, two 2.5GbE ports, USB 3.0/2.0 ports, four camera connectors, and more. The company has now launched the Orange Pi CM5 “Tablet” Base Board without Ethernet ports, making use of WiFi 5 and Bluetooth 5.0 for networking instead. It keeps many of the same features but adds a 26-pin GPIO header, an M.2 Key-M socket for SSD storage, DP 1.4 and MIPI DSI display interfaces, and various audio interfaces. However, it does with “only” three camera interfaces. It’s quite thick to be used in a typical tablet, but […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 8 Comments on $249 NVIDIA Jetson Orin Nano Super Developer Kit targets generative AI applications at the edge

$249 NVIDIA Jetson Orin Nano Super Developer Kit targets generative AI applications at the edge

NVIDIA Jetson Orin Nano Super Development Kit

NVIDIA Jetson Orin Nano Super Developer Kit is an upgrade to the Jetson Orin Nano Developer Kit with 1.7 times more generative AI performance, a 70% increase in performance to 67 INT8 TOPS, and about half the price, making it a great development platform for generative AI at the edge, mostly robotics. We’ve seen several AI boxes and boards in the last year capable of offline generative AI applications like the Firefly AIO-1684XQ motherboard or Radxa Fogwise Airbox which I reviewed with Llama3, Stable diffusion, Imgsearch, etc… A product like the Fogwise Airbox delivers up to 32 TOPS (INT8) and sells for around $330 which was very competitive then (June 2024). However, the Jetson Orin Nano Super Developer Kit will certainly disrupt the market with over twice the performance, a lower price, and a larger developer community. NVIDIA Jetson Orin Nano Super specifications: NVIDIA Jetson Orin Nano 8GB Module CPU […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Lattice unveils Nexus 2 small FPGA platform, Lattice Avant 30 and Avant 50 mid-range devices, updated Lattice design software tools

Lattice unveils Nexus 2 small FPGA platform, Lattice Avant 30 and Avant 50 mid-range devices, updated Lattice design software tools

Lattice Nexus 2

Lattice Semiconductors announced several new FPGAs and software tools at the Lattice Developers Conference 2024 which took place on December 10-11. First, the company unveiled the Nexus 2 small FPGA platform starting with the Certus-N2 general-purpose FPGAs offering significant efficiency and performance improvements in this category of devices. The Lattice Avant 30 and Avant 50 were also introduced as mid-range FPGA devices with new capacity options to enable edge-optimized and advanced connectivity applications. Finally, the company releases new versions of Lattice design software tools and application-specific solution stacks to help accelerate customer time-to-market such for edge AI, embedded vision, factory automation, and automotive designs with Lattice Drive. Let’s have a look at the highlights of each announcement. Lattice Nexus 2 small FPGA platform and Certus-N2 FPGA Highlights and benefits of the Lattice Nexus 2 small FPGA platform: Power Efficiency against similar class competitive devices Up to 3x lower power Up […]

UP 7000 x86 SBC