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reComputer Mini J501 Edge AI computer features NVIDIA Jetson AGX Orin 64GB/32GB module, two FAKRA camera connectors

reComputer Mini J501

Designed for robotics applications, the reComputer Mini J501 is an Edge AI computer powered by an NVIDIA Jetson AGX Orin 64GB or 32GB module, delivering up ot 275 TOPS of AI performance. The computer features 10GbE and GbE RJ45 ports, HDMI 2.1 video output, two USB 3.2 ports, two USB 2.0 Type-C Debug/Recovery ports, a 128 M.2 NVMe SSD, two FAKRA connectors for up to eight GMSL2 cameras, and a range of other I/O connectors. reComputer Mini J501 specifications: System-on-module (one or the other) NVIDIA Jetson AGX Orin 32GB  (reComputer Mini J5011 model) CPU – 8-core Arm Cortex-A78AE v8.2 64-bit processor @ 2.2 GHz with 2MB L2 + 4MB L3 cache GPU and AI NVIDIA Ampere architecture with 1792 NVIDIA CUDA cores and 56 Tensor Cores @ 930 MHz DL Accelerator – 2x NVDLA Engines @ up to 1.4 GHz Up to 200 TOPS Video Encode – 1x 4K60 | 3x 4K30 […]

Play games with your brain signals using Octopus 16 wireless EEG device

Octopus 16 biosignal device for gaming

Octopus 16 is a wireless biosignal HID device for the XIAO ESP32-S3 board designed to let users play computer games using brain signals (EEG) with no hands (or implants) needed. The board packs 16 electrodes to measure biosignals, including EEG (electroencephalography), EMG (electromyography), and ECG (electrocardiography), and the coin-sized device is much more compact than other brain-computer interface (BCI) solutions, which typically require a cap kit with 8 to 16 electrodes and wires. Octopus 16 specifications: ADC – 2x Texas Instruments ADS131M08 24-bit, 8-channel, simultaneous-sampling, delta-sigma (ΔΣ) analog-to-digital converters Channels – 16x 24-bit channels (8x per ADC) Programmable gain (PGA) – x1 to x128 (set in firmware; default gain register 0x2222) Input high-pass / DC block – Integrated ADC DC-block filter enabled (≈ >1 Hz) Host interface (to XIAO board) – Power + SPI via 2x 7-pin Brain interface 18x spring-loaded pogo pins 16x electrodes 1x  reference (AINREF) 1x Ground […]

reTerminal Sticky 3.97-inch touch ePaper display is supported by four open-source firmware projects (so far)

reTerminal Sticky

Seeed Studio’s reTerminal Sticky is a 3.97-inch “AI-powered” magnetic touch ePaper display powered by an ESP32-S3 microcontroller, which serves as a sticky-note alternative, an e-reader, a live dashboard, or a home automation controller. The 800 x 480 resolution display comes with 8MB PSRAM, 32MB Flash, a microSD card slot, and next/previous page buttons. It’s “AI-powered” through a microphone and an AI Voice button leveraging the ESP32-S3 Edge AI capabilities for a voice-to-note feature. It also features a temperature and humidity sensor and a 3-axis accelerometer, as well as a built-in magnet and a magnetic ring for easy mounting. reTerminal Sticky specifications: SoC – Espressif ESP32-S3R8 CPU – Dual-core Tensilica LX7 microcontroller up to 240 MHz with vector instructions for AI acceleration Memory – 8MB PSRAM Wireless – 2.4 GHz WiFi 4 and Bluetooth 5.0 LE Storage 32 MB flash MicroSD card slot (SanDisk recommended) Display 3.97-inch monochrome (B&W) ePaper 4-level […]

nRF54L Arduino Core project brings Arduino support to Nordic Semi nRF54L wireless SoCs

nRF54L Arduino Core

nRF54L Arduino Core is an open-source project designed to bring Arduino support for Nordic Semiconductor nRF54L wireless SoCs, starting with Seeed Studio’s XIAO nRF54L15 (Sense) and XIAO nRF54LM20A (Sense) boards, as well as compatible Holyiot nRF54L15 modules. Since the launch of the nRF52840-based Arduino Nano 33 BLE  board in 2019, Nordic nRF52 wireless microcontrollers have been officially supported by the Arduino IDE. However, it’s not quite the case for the newer nRF54L Cortex-M33 microcontrollers. Lolren has decided to change that with the unofficial nRF54 Arduino core project. nRF54L Arduino Core highlights: Dual-core access – Use the 128 MHz Cortex-M33 application CPU and the VPR RISC-V coprocessor without adopting a vendor RTOS Wireless Bluetooth LE support – Peripheral, central, dual-role, GATT server/client, HID, BLE UART, PHY/DLE/MTU control, LE Secure Connections, bonding, OOB, Numeric Comparison, privacy/RPA, and CSRK signed writes Experimental support for Zigbee – Partial stack and device demonstrations; incomplete Zigbee […]

reCamera Pro “Open AI Camera” supports computer vision, LLM, VLM, STT, and TTS workloads

reCamera Pro RV1126B AI camera

Seeed Studio’s reCamera Pro is an AI camera powered by a Rockchip RV1126B quad-core Cortex-A53 SoC with a 3 TOPS NPU for on-device AI vision, but also large language models (LLMs), vision language models (VLMs), as well as speech-to-text (STT) and text-to-speech (TTS) with built-in audio capabilities. It offers a powerful update to the earlier reCamera modular AI camera based on an SG2002 RISC-V AI SoC, with up to 4GB RAM, 16GB eMMC flash, an 8MP camera sensor supporting up to 4K @ 30 FPS, an M12 lens mount, a built-in 1W speaker, two microphones, Gigabit Ethernet with PoE, dual-band WiFi 5 connectivity, a USB-C port for power and data, and and expansion through a GPIO and MIPI DSI connectors. reCamera Pro specifications: SoC – Rockchip RV1126B CPU – Quad-core Arm Cortex-A53 up to 1.2 GHz with 32KB L1 I-Cache and 32KB L1 D-Cache, unified 512KB L2 Cache MCU – […]

XIAO nRF54LM20A (Sense) board enables ultra-low-power Bluetooth 6.0, Matter, Thread, Zigbee, or 2.4 GHz proprietary applications

XIAO NRF54LM20A Sense board

Seeed Studio XIAO nRF54LM20A and XIAO nRF54LM20A Sense are tiny USB-C IoT boards based on Nordic Semiconductor’s nRF54LM20A wireless SoC offering Bluetooth 6.0, Matter, Thread, Zigbee, NFC, Amazon Sidewalk, and 2.4 GHz proprietary connectivity. Both variants come with on-chip 2 MB flash and 512 KB RAM, as well as an 8 MB flash, an nPM1300 PMIC for power management, up to 28 GPIOs, and an RGB LED. The Sense model adds a digital microphone and 6-axis IMU with motion-triggered wake-up for ultra-low power applications. XIAO nRF54LM20A (Sense) specifications: Wireless SoC – Nordic Semiconductor nRF54LM20A CPU Arm Cortex-M33 application processor clocked at up to 128 MHz RISC-V coprocessor running at 128 MHz Memory – 512 kB of RAM Storage – 2 MB of Non-Volatile Memory (NVM) Wireless Bluetooth LE 6.0 with PHY rates of 125 kbit/s, 500 kbit/s, 1 Mbit/s, and 2 Mbit/s Bluetooth Channel Sounding, Bluetooth LE long range (coded PHY), […]

$7.99 Seeed Studio Wio-S3 WiFi, Bluetooth LE, and LoRa IoT module combines ESP32-S3 and SX1262 RF transceiver

Seeed Studio Wio S3 IoT module

Seeed Studio Wio-S3 is a compact (21.6 x 16.5 x 3.3 mm) wireless module that combines an ESP32-S3R8 dual-core WiFi 4 and Bluetooth LE MCU and a Semtech SX1262 LoRa transceiver. The module includes 16MB Flash and 8MB PSRAM, and supports LoRa (EU868/US915) with up to +20.9 dBm transmit power and -137 dBm sensitivity. It also supports Wi-Fi 4 and BLE 5.0, and comes with two IPEX connectors for external antennas. With interfaces such as UART, I2C, SPI, ADC, and USB, and support for -40°C to 85°C operation, it is designed for remote monitoring, industrial automation, smart agriculture, and IoT data logging. Seeed Studio Wio-S3 module specifications: SoC – Espressif ESP32-S3R8 CPU – Dual-core Tensilica LX7 microcontroller up to 240 MHz with vector instructions for AI acceleration Memory – 8MB PSRAM Wireless – 2.4 GHz 802.11b/g/n WiFi 4 and Bluetooth 5.0 LE + Mesh connectivity Storage – 16MB external SPI flash […]

reComputer RK3576/RK3588 Edge AI computers are supported by reComputer AI Lab one-click deployment platform

reComputer RK3576 RK3588 AI Lab

Seeed Studio has just launched the reComputer RK3576/RK3588 Edge AI computers designed for developers, embedded AI innovators, robotics, industrial AI, vision AI, local LLMs, and real-world edge deployment. Rockchip RK3576 and RK3588 computers are pretty common these days, and the Seeed Studio models offer triple video output, dual Ethernet (GbE or 2.5GbE), several USB ports, and M.2 expansion. But the most interesting part is probably the software with Armbian-based Linux OS and support for the reComputer AI Lab platform that enables one-click deployment of AI-accelerated computer vision, audio, and LLM/LVM demos. reComputer RK3576/RK3588 specifications: SoC (one or the other) Rockchip RK3576 Octa-core CPU – 4x Cortex-A72 cores at 2.2GHz, 4x Cortex-A53 cores at 1.8GHz GPU – ARM Mali-G52 MC3 GPU NPU – 6 TOPS (INT8) AI accelerator with support for INT4/INT8/INT16/BF16/TF32 mixed operations. VPU Video Decoder: H.264, H.265, VP9, AV1, and AVS2 up to 8K at 30fps or 4K at […]