HealthyPi 5 WiFi & BLE biosignal-acquisition sensor platform captures body temperature, ECG, PPG, SpO₂, and other vitals (Crowdfunding)

Standalone Vital Sign Monitor

HealthyPi 5 is an open-source sensor platform for biosignal acquisition based on Raspberry Pi RP2040 microcontroller and ESP32-C3 WiFi & BLE module used to capture vitals such as electrocardiogram (ECG), respiration, photoplethysmography (PPG), oxygen saturation (SpO₂), and body-temperature data. It is a complete redesign of the HealthyPi v4 Raspberry Pi HAT with many of the same features. While the HealthyPi 5 also follows the Raspberry Pi HAT form factor and can be connected to a Raspberry Pi SBC to analyze the data, it can also be used as a standalone device with the processing handled by the RP2040 dual-core Cortex-M0+ microcontroller and connectivity through an ESP32-C3 wireless module, and data visualized on a 3.5-inch SPI display or a smartphone over WiFi or Bluetooth. HealthyPi 5 specifications: MCU – Raspberry Pi RP2040 dual-core Arm Cortex-M0+ microcontroller @ 133 MHz with 264 KB SRAM Wireless Module – ESP32-C3 RISC-V module with 2.4 […]

AMD Radeon PCIe graphics card tested with a Rockchip RK3588 SBC (Radxa Rock 5B)

AMD Radeon PCIe graphics card Rockchip RK3588 SBC

When Rockchip first introduced the Rockchip RK3399 processor with a PCIe interface people initially hoped they could connect graphics card, but those hopes were quickly squashed due to a 32MB addressing limit. However, the PCIe implementation on the newer Rockchip RK3588 processor does not have such a limitation, and last November, Radxa teased a demo with an AMD Radeon Pro WX 5100 PCIe graphics card connected to the Rock 5B SBC running the glxgears demo on the Radeon GPU. I couldn’t find any instructions to reproduce this setup, but this got Jasbir interested, and he tried to do a test of his own with the Radxa Rock 5B connected to an AMD Radeon R7 520 (XFX R7 250 low-profile) through an “M.2 Key M Extender Cable to PCIE x16 Graphics Card Riser Adapter” ($14 plus taxes on Aliexpress) and powered by an LR1007 120W 12VDC ATX board. The experiment was […]

BIGTREETECH Pad 7 7-inch 3D printer control display runs Klipper on Allwinner H616 SoM or Raspberry Pi CM4

BIGTREETECH Pad 7 Settings

Yesterday, I wrote about the BTT Pi V1.2 Allwinner H616 SBC designed for 3D printers, but also mentioned I had received the Pad 7 from BIGTREETECH which is a software-compatible, but more complete solution with a 7-inch display and an Allwinner H616-powered CB1 system-on-module compatible with the Raspberry Pi CM4. The BIGTREETECH Pad 7 should be more convenient to use with its integrated 7-inch touchscreen display, and if you ever decided you didn’t need it to control your 3D printer anymore, it could always be used as a small Linux computer running Raspberry Pi OS or another operating system. BIGTREETECH Pad 7 specifications: Supported modules BIGTREETECH CB1 v2.2 (included in the kit) – Allwinner H616 quad-core Cortex-A53 CPU with Mali-G31 MP2 GPU, 1GB RAM, 802.11 b/g/n WiFi 4 Raspberry Pi CM4 module with Broadcom BCM2711 quad-core Cortex-A72 CPU with VideoCore IV GPU, 1 to 8GB RAM, 0 to 32GB eMMC […]

ESP32-H2-DevKitM-1 ESP32-H2 development board launched for $10

ESP32-H2-DevKitM-1

Espressif Systems unveiled the ESP32-H2 Bluetooth 5.2 LE & 802.15.4 RISC-V microcontroller in August 2021, but the ESP32-H2-DevKitM-1 development board based on the ESP32-H2-MINI-1 module has only been selling on the official Espressif’s Aliexpress store for $9.90 for a few weeks. The ESP32-H2-DevKitM-1 development board allows the development of applications with Bluetooth 5.2 LE, Zigbee, Thread, and/or Matter connectivity, features two USB Type-C ports, Boot & Reset buttons, and RGB LED, and two rows of 15 pins exposing all I/Os from the ESP32-H2-MINI-1 module. ESP32-H2-DevKitM-1 specifications: Wireless module – ESP32-H2-MINI-1 MCU – Espressif Systems ESP32-H2 32-bit RISC-V microcontroller at up to 96 MHz with 320 KB SRAM, 128 KB ROM, 4 KB LP memory, Bluetooth 5.2 LE/Mesh and 802.15.4 (Zigbee/Thread/Matter) radios. Storage – 4MB flash storage (E1N4 on the photo above should mean 4MB, but there are also ESP32-H2-MINI-1 modules with 1MB and 2MB flash) PCB antenna Dimensions – 13.2×16.6×2.4 […]

BIGTREETECH Pi v1.2 – A Raspberry Pi-sized Allwinner H616 SBC for 3D printers

Allwinner H616 BTT Pi v1.2 SBC

BIGTREETECH Pi v1.2, also known as the BBT Pi v1.2, is a Raspberry Pi-sized Allwinner H616 single board computer (SBC) specially designed for 3D printers with many of the same ports as the Raspberry Pi 3/4, but also features 12V-24V DC power input and connectors for the ADXL345 3-axis accelerometer, CAN Bus, and so on. The board is equipped with 1GB RAM, a microSD card slot to run the operating system (Debian 11 with Klipper), a 4K capable micro HDMI port, Fast Ethernet and WiFi 4 networking, four USB ports, and the usual 40-pin Raspberry Pi header. BTT Pi specifications: SoC – Allwinner H616 quad-core Arm Cortex-A53 @ 1.5GHz with Arm Mali G31 MP2 with support for OpenGL ES 3.2 System Memory – 1GB DDR3L SDRAM Storage – MicroSD card slot Video Output Micro HDMI 2.0a port up to 4Kp60 resolution SPI port for display Audio – 3.5mm audio jack […]

MicroPython 1.20 released with Raspberry Pi Pico W support, mip package manager, smaller footprint

MicroPython 1.20 Pico W

Damien George has recently announced the release of MicroPython 1.20 with support for the Raspberry Pi Pico W board., a new lightweight package manager called mip, a smaller footprint thanks to the use of compressed type structs, and many other changes. mip package manager The new mip package manager uses a custom protocol optimized for embedded systems to query and install packages, and intends to replace upip for installing packages from micropython-lib or any URL. Mip can be run directly on a device, as long as it has network connectivity, or via mpremote from a host computer. Damien explains all pure-Python drivers have been moved from the micropython repository to the micropython-lib repository as part of the change in order to make it easier to install the packages needed for a given project. MicroPython is getting smaller The MicroPython binary size has been reduced by many kilobytes for all ports […]

Tinker Board S R2.0 SBC features Rockchip RK3288-CG W processor

Rockchip RK3288-CG W SBC

ASUS Tinker Board S R2.0 is a revision of the original Tinker Board S board launched in 2018 with a 16GB eMMC flash. The R2.0 model relies on Rockchip RK3288-CG W quad-core Cortex-A17 processor and gets an upgrade to Bluetooth 4.2 from Bluetooth 4.0. The rest of the specifications remain the same with 2GB DDR3, HDMI 2.0 and MIPI DSI video interface, a MIPI CSI camera interface, a 3.5mm audio jack, Gigabit Ethernet, a WiFi 4 and Bluetooth 4.x module, four USB 2.0 host ports, and a 40-pin color-coded Raspberry Pi compatible header. Tinker Board S R2.0 specifications: SoC – Rockchip RK3288-CG.W quad-core ARM Cortex A17 processor up to 1.8 GHz with Mali-T764 GPU @ up to 600 MHz supporting OpenGL ES 1.1/2.0 /3.0, and OpenCL 1.1 System Memory – 2GB dual-channel DDR3 Storage – 16GB eMMC flash + microSD slot Video output & Display I/F 1x HDMI 2.0 up […]

Mixtile Core 3588E Rockchip RK3588 system-on-module works with NVIDIA Jetson TX2 NX carrier boards

Rockchip RK3588 SoM NVIDIA Jetson TX2 NX alternative

Mixtile Core 3588E is a system-on-module powered by a Rockchip RK3588 SoC and equipped with the 260-pin SO-DIMM connector found in the NVIDIA Jetson TX2 NX (and Jetson Nano, Xavier NX, Orin Nano modules). We’ve seen several companies make Raspberry Pi CM4 alternatives such as Radxa CM3 or Pine64 SoQuartz, and Mixtile even has its own Core 3568M SoM that can be used as a drop-in replacement for the Raspberry Pi CM4. But I had not seen companies try to make system-on-modules based on NVIDIA Jetson’s 260-pin SO-DIMM edge connector, and that’s exactly what the Mixtile Core 3588E has to offer. Mixtile Core 3588E specifications: SoC – Rockchip RK3588 CPU – Octa-core processor with 4x Arm Cortex-A76 cores @ up to 2.4 GHz, 4x Arm Cortex-A55 cores GPU – Arm Mali-G610 MP4 GPU with support for OpenGL ES3.2, OpenCL 2.2, Vulkan1.1 AI accelerator – 6 TOPS NPU with support for […]

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