robotics

Posted on by Debashis Das - 2 Comments on Elecrow AI starter kit turns NVIDIA Jetson Orin Nano into a learning platform with 11.6-inch display, 30 electronics modules

Elecrow AI starter kit turns NVIDIA Jetson Orin Nano into a learning platform with 11.6-inch display, 30 electronics modules

Jetson Orin Nano AI learning kit

Elecrow AI Starter Kit for the NVIDIA Jetson Orin Nano turns the NVIDIA Jetson Orin Nano into a learning and educational kit for students, educators, and hardware enthusiasts looking for a rapid and powerful prototyping platform. The kit integrates an 11.6-inch IPS touchscreen, an 8MP servo-controlled gimbal camera, a voice interaction module, and 30 common electronics modules embedded in the kit. The company also provides 39 Python tutorials for sensor control, computer vision, and basic AI workflows. In addition to the display, camera, and audio features, the kit also includes expansion through I2C, UART, and GPIO. Jetson Orin Nano AI Starter Kit specifications: Main Board – NVIDIA Jetson Orin Nano (Not included in the kit) Display – 11.6-inch IPS touchscreen display with 1366 × 768 resolution Onboard modules Input modules Multimedia – 8MP IMX219-based camera with dual-servo gimbal (PTZ-style control) Sensors Temperature & humidity sensor Ultrasonic distance sensor PIR motion […]

Posted on by Debashis Das - 10 Comments on Bit-Brick Cluster K1 – A 4-slot RISC-V cluster board for SpacemiT K1-based SSOM-K1 system-on-module

Bit-Brick Cluster K1 – A 4-slot RISC-V cluster board for SpacemiT K1-based SSOM-K1 system-on-module

Bit Brick Cluster K1

Bit-Brick Cluster K1 is a cluster board designed to mount up to four SSOM-K1 system-on-modules powered by a SpacemiT K1 octa-core RISC-V processor. The board targets developers, researchers, and system integrators working on edge computing, AI workloads, and high-performance embedded applications. The Cluster K1 relies on an onboard Gigabit Ethernet switch chip to interconnect four core boards, giving each board an independent network port for fast and stable inter-node communication with automatic IP assignment. Other key features include USB 3.0/2.0 ports, HDMI output (master slot only), a USB Type-C debug port, an M.2 M-Key slot for storage expansion, a 3-pin fan power header, and dedicated power, reset, and download buttons. The SSOM-K1 system-on-module features a K1 octa-core 64-bit RISC-V CPU with vector extension and AI acceleration up to 2 TOPS. It ships with up to 8GB dual-channel LPDDR4X memory, up to 64GB eMMC flash, and offers dual Gigabit Ethernet, HDMI 1.4 […]

Posted on by Debashis Das - No Comments on Forlinx FCU3011 – An NVIDIA Jetson Orin Nano fanless industrial computer with 4x GbE, optional 4G/5G and Wi-Fi connectivity

Forlinx FCU3011 – An NVIDIA Jetson Orin Nano fanless industrial computer with 4x GbE, optional 4G/5G and Wi-Fi connectivity

Forlinx FCU3011 AI Edge Computing Box

Forlinx Embedded has recently released the FCU3011, a compact, fanless industrial AI edge computer built around the NVIDIA Jetson Orin Nano, designed for 24/7 operations in manufacturing, smart cities, robotics, and machine vision systems, where real-time processing is needed. The fanless system supports NVIDIA Jetson Orin Nano 4GB (34 TOPS) or 8GB (up to 67 TOPS) configurations, with 4GB/8GB LPDDR5 memory and a 128GB PCIe x4 NVMe SSD. Connectivity options include up to four Gigabit Ethernet ports, USB 3.0/2.0, HDMI 2.0 (4K), an SD card slot, optional 4G/5G and dual-band Wi-Fi via M.2 modules, along with industrial interfaces such as isolated RS-485, CAN, opto-isolated inputs, relay outputs, and an RTC. The system takes a wide 9–24V DC power input, features ESD-protected interfaces, and can be used for AGVs, visual inspection, smart factories, intelligent traffic analysis, medical devices, and small commercial robots. Forlinx FCU3011 specifications: SoM options NVIDIA Jetson Orin Nano […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 5 Comments on NASP NeuroVoice VAD chip enables always-on voice activity detection at microwatt-level power consumption

NASP NeuroVoice VAD chip enables always-on voice activity detection at microwatt-level power consumption

NeuroVoice VAD Voice Activity Detection chip

POLYN Technology’s Neuromorphic Analog Signal Processor (NASP) NeuroVoice VAD is an always-on, ultra-low-power chip that detects voice in any noisy background, at microwatt-level power consumption and microsecond-scale latency. Everything happens on the chip, so no Internet is needed. Potential applications include smart remote controls, earbuds, wearables, voice access, IoT, Industry 4.0, robotics, Smart Home/Factory, mobility, and more. NASP NeuroVoice VAD chip (NV-VAD 100) specifications: Features Voice detection at ultra-low power consumption Voice passthrough – Passes voice and mutes background sounds Background signal bypass – Wake Word Detection (WWD) command to activate transparent voice bypass Speech/command intelligibility in noisy spaces – Increases voice command intelligibility for WWD/KWS (Keyword Spotting) functionality in noisy environments for Smart Home, Smart Factory, Wearables, etc. Audio Interfaces – PDM/I2S Voice delay detection – 25 ms Host interfaces – SPI/I2C used for initial configuration and status readout, VAD pin Debugging – Boundary Scan and Debug unit access […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Fusion HAT+ Raspberry Pi expansion board targets motor and servo control with AI and LLMs

Fusion HAT+ Raspberry Pi expansion board targets motor and servo control with AI and LLMs

SunFounder Fusion HAT+

SunFounder Fusion HAT+ for Raspberry Pi 5/4/3B+ and Zero single board computers is a motor control and GPIO expansion board designed to work with LLMs such as ChatGPT or Gemini using the board’s built-in speaker and microphone for voice interaction. It features four DC motor drivers, twelve PWM servo channels, four ADC inputs, I2C, SPI, and UART interface for sensors, and ships with two 18650 rechargeable batteries with smart power management & safe shutdown. It can be used in smart cars, humanoid robots, robotic arms, multi-legged spiders, and smart home systems. Fusion HAT+ specifications: MCU – Gigadevices GD32E203C8T6 Arm Cortex-M23 microcontroller @ 72MHz with 64KB flash, 8KB SRAM. Motor control – 4x motor ports Audio 2030 audio chamber speaker connected to an I2S audio port MEMS microphone Expansion 4-channel digital pins 4-pin I2C interface compatible with Qwiic/STEMMA Qt 7-pin SPI interface 4-pin UART interface 12-channel PWM pins for servos 4-channel […]

Posted on by Debashis Das - 7 Comments on Up to 16-core AMD EPYC Embedded 2005 Series Zen 5 processors support up 28 PCIe Gen5 lanes, offer 10-year availability

Up to 16-core AMD EPYC Embedded 2005 Series Zen 5 processors support up 28 PCIe Gen5 lanes, offer 10-year availability

AMD EPYC Embedded 2005 Series Processors

After the release of the high-performance EPYC Embedded 9005, AMD has now introduced the EPYC Embedded 2005 Series, a mid-range processor family also based on the “Zen 5” architecture and designed for space-constrained networking, storage, and industrial edge applications. The new SoCs feature up to 16 cores (32 threads) with 64 MB L3 cache, support dual-channel DDR5-5600 memory with ECC, and offer 28 lanes of PCIe Gen5 connectivity. It also supports advanced RAS capabilities, BMC, PCIe Hot Plug, multi-SPI ROM, and AMD Infinity Guard security. The processors come in a compact 40 x 40mm BGA package, which, according to AMD, is up to 2.4x smaller than competing enterprise solutions (Intel Xeon 6500P-B). Yet, they are designed for 24/7 operation, with up to 10 years of availability with full open-source software support. These features make it suitable for networking switches/routers, cold storage systems, aerospace, robotics, and other high-reliability embedded infrastructure. EPYC […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on STEVAL-ROBKIT1 – A robot evaluation kit based on STM32H725 and STM32G0 microcontrollers

STEVAL-ROBKIT1 – A robot evaluation kit based on STM32H725 and STM32G0 microcontrollers

STEVAL-ROBKIT1 STM32H725 robot evaluation kit

The STEVAL-ROBKIT1 is an evaluation kit for robotics applications based on ST’s STM32H725 and STM32G0 Arm microcontrollers. It’s the first such robot kit from the company, and it targets both traditional engineering teams, educators, and students. The kit features an STM32H725 main board, an STM32G0 motor-control PCB, and a 1.53MP camera + ToF sensor module, as well as a robotic frame, wheels, and motors with encoders. It does not require a soldering iron for assembly to make it easier for students. STEVAL-ROBKIT1 key components and features: Main board – STEVAL-ROBKIT1-1 SoC – STMicro STM32H725IGT6 Arm Cortex-M7 microcontroller @ 550 MHz with 1MB flash, 564 KB SRAM with ECC Wireless – BlueNRG-M2 Bluetooth LE 5.2 SoC Sensors 6-axis IMU (LSM6DSV16BX) Magnetometer (LIS2MDL) Microphone (MP34DT06J) Expansion – 40-pin Raspberry Pi-like header Motor control board – STEVAL-ROBKIT1-2 SoC – STMicro STM32G071CBT6 Arm Cortex-M0+ microcontroller at 64 MHz with 128 KB flash, 36KB SRAM Motor […]

Posted on by Debashis Das - No Comments on Radxa C200 Orin Developer Kit – An NVIDIA Jetson Orin NX 8GB devkit with three M.2 PCIe 4.0 slots

Radxa C200 Orin Developer Kit – An NVIDIA Jetson Orin NX 8GB devkit with three M.2 PCIe 4.0 slots

Radxa C200 Orin

The Radxa C200 is a compact developer kit built around the NVIDIA Jetson Orin NX 8GB module. It features three PCIe 4.0 NVMe slots and 117 TOPS AI “Super Mode” for high-speed storage expansion, fast-bootable SSDs, and data-intensive AI workloads. It supports 8GB LPDDR5 memory, two M.2 M-Key slots (PCIe 4.0 x2/x4) for NVMe storage or other expansion, and an M.2 E-key (PCIe 4.0 x1) slot for Wi-Fi/BT or other compatible modules. Ports include DisplayPort 1.2 video output, four USB 3.2 Gen2 Type-A ports, a USB Type-C port with recovery mode, Gigabit Ethernet, two MIPI CSI interfaces, and a 40-pin GPIO header. Additional features include CAN bus, PoE headers, RTC battery, and a PWM fan connector, extending system integration options. Radxa C200 Orin Developer Kit specifications: SoM – NVIDIA Jetson Orin NX 8GB module CPU – 6-core Arm Cortex-A78AE v8.2 64-bit CPU, 1.5MB L2 cache + 4MB L3 cache de […]

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