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

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 […]

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

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 […]

Khadas Edge2 Arm mini PC
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AMD Ryzen Z1 “Zen4” processors target Windows-based handheld gaming consoles

AMD has just unveiled the new power-efficient Ryzen Z1 “Zen4” Series processor family designed for handheld gaming consoles running Windows and equipped with AMD RDNA 3 architecture-based graphics. The new series features two processors at launch, namely the Ryzen Z1 hexa-core processor with 4 RDNA 3 Compute Units and the Ryzen Z1 Extreme octa-core processor with 12 RDNA 3 Computer Units for “ultimate high-performance for handheld gaming”. Highlights of Ryzen Z1 and Z1 extreme specifications: Both processors support LPDDR5/LPDDR5x memory, and USB4 interface, as well as the following AMD technologies: AMD Link – Mobile app to connect your phone, tablet, TV, or Windows-based PC, and stream games. AMD Radeon Super Resolution – In-driver feature upscaling lower resolutions set in-game to the native resolution of the active display for higher FPS performance. AMD Radeon Boost – Dynamically lowers the resolution of the entire frame when fast on-screen character motion is detected […]

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100ASK-V853-Pro – A feature-rich Allwinner V853 board designed for AI vision applications

The 100ASK-V853-Pro board is a development kit consisting of an Allwinner V853 system-on-module board (SoM) and a feature-rich carrier board with a large number of interfaces. Allwinner V853 supports up to 1TOPS of NPU computing power and is mainly for AI vision application development. The core board contains a DDR and eMMC as well as a PMU chip (AXP2101) and is connected to the carrier board through a board-to-board connector. All the functional resources of the V853 are drawn out through the carrier board. The carrier board comes with 2-channels CSI camera interfaces as well as RGB and MIPI DSI display interfaces. Although 1 TOPS of AI computing power is not outstanding, the NPU can still be used to accelerate AI vision applications at the edge. The board also comes with four USB 2.0 ports (two Type-A, two Type-C), an 100Mbps Ethernet port, a 22-pin header for expansion, and five […]

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Pine64 Star64 SBC with StarFive JH7110 RISC-V SoC with GPU to launch for $69.99 and up

Pine64 Star64 is a single board computer (SBC) powered by StarFive JH7110 quad-core 64-bit RISC-V processor equipped with an Imagination BXE-4-32 GPU, and in a form factor similar to the earlier Pine64 model A boards such as the Quartz64 Model A. The Star64 SBC ships with either 4GB or 8GB of RAM, an HDMI 2.0 video output connector, two Gigabit Ethernet ports, a WiFi 6 and Bluetooth 5.2 module, USB 3.0 ports, a PCIe slot, and a GPIO header for expansion. Star64 specifications: SoC – StarFive JH7110 with CPU – Quad-core 64-bit RISC-V (SiFive U74 – RV64GC) processor @ up to 1.5 GHz GPU – Imagination BXE-4-32 GPU @ up to 600 MHz supporting OpenGL ES 3.2, OpenCL 1.2, Vulkan 1.2 VPU 4Kp60 H.265/H.264 video decoder 1080p30 H.265 video encoder System Memory – 4GB or 8GB LPDDR4 Storage – MicroSD card slot, eMMC flash module socket up to 128GB, 128Mbit […]

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2-channel DSO-500K WiFi oscilloscope is based on Raspberry Pi Pico W board

FHDM TECH DSO-500K is a 2-channel 500kS/s WiFi oscilloscope based on Raspberry Pi Pico W board that can also work over USB, and offers an analog bandwidth of up to 150kHz. We previously had seen the Raspberry Pi Pico board used as a logic analyzer, so it should come as no surprise that somebody has also come up with a Raspberry Pi Pico W-based oscilloscope that enabled visualization on Android over WiFi or USB. DSO-500K specifications and features (through the Scoppy app): MCU board – Raspberry Pi Pico W board with RP2040 dual-core Cortex-M0+ microcontroller, 2MB SPI flash, WiFi 4 and Bluetooth connectivity Sample rate – Up to 500kS/s sample rate (250kS/s with both channels enabled) Analog bandwidth – 150kHz Record length – 2048 samples per channel in RUN mode, 100kS total for single shot captures Inputs – BNC connectors or 0.1-inch headers Input Impedance – 1MΩ / 22pF Input […]

Rockchip RK3568/RK3588 and Intel x86 SBCs
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Allwinner TV303 quad-core Cortex-A53 “Smart Screen” processor is made for projectors

Previously known for its tablet SoCs, Allwinner has been focusing on low-cost Cortex-A7 and Cortex-A53 processors for consumer devices in recent years, and the Allwinner TV303 quad-core Cortex-A53 processor is yet another one and appears to be the first of Allwinner TV-series processors designed for “smart screens”, notably smart Android projectors. I could not find any references for TV303 on the Allwinner website, but the company did publish a post on Weixin about a “Smart Android Projector” by Hotack based on the new processor and showcased at CES 2023. Allwinner TV303 preliminary specifications: CPU – 4x Arm Cortex-A53 GPU – Arm Mali-G31 VPU – 4K hardware video decoding + image quality engine Video Output – Up to Full HD Video Input – HDMI input The projector itself features two stereo speakers, WiFi 6 connectivity, and can be turned into a Bluetooth speaker. It also supports keystone correction and autofocus. Allwinner […]

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Allwinner T3 automotive-grade processor powers industrial-grade SoM

Allwinner T3 is a quad-core Cortex-A7 automotive-grade processor that supports a wide industrial temperature range of -40°C to +85°C. After comparing the specifications of Allwinner T3, I think it is the same as Allwinner A40i, as Allwinner has different business units and the T-series is for the automotive-grade market, while the A-series has historically been for the tablet market, but is now also used in the industrial-grade market. Tronlong SOM-TLT3 and SOM-TLT3-B are Allwinner T3 system-on-modules (SoM) of Allwinner T3. Both modules have basically the same specifications but the SOM-TLT3 comes with castellated holes for soldering to the carrier board, while the SOM-TLT3-B features board-to-board connectors. Tronlong SOM-TLT3 / SOM-TLT3-B specifications: CPU – Allwinner T3 quad-core Arm Cortex-A7 @ 1.2 GHz with 32KB L1 I-cache + 32KB L1 D-cache, 512KB L2 cache. GPU – Arm Mali-400 MP2 with support for OpenGL ES 1.1/2.0, Open VG 1.1 Memory – 1/2GByte DDR3 […]

Khadas VIM4 SBC