Raspberry Pi

Posted on by Jean-Luc Aufranc (CNXSoft) - 13 Comments on MediaTek Genio 1200 system-on-module powers Cortex-A78/A55 AIoT & robotics development kit

MediaTek Genio 1200 system-on-module powers Cortex-A78/A55 AIoT & robotics development kit

I-Pi SMARC 1200

ADLINK Technology’s SMARC 2.1 compliant LEC-MTK-I12000 system-on-module (SoM) features the MediaTek Genio 1200 octa-core Cortex-A78/A55 AIoT processor coupled with up to 8GB RAM and 256GB UFS storage, and powers the I-Pi SMARC 1200 development kit designed for robotics and AIoT applications. LEC-MTK-I1200 MediaTek Genio 1200 system-on-module LEC-MTK-I1200 SoM specifications: SoC – MediaTek Genio 1200 (MT8395) octa-core processor with 4x Cortex-A78 cores @ 2.2GHz, 4x Cortex-A55 cores @ 2.0GHz with penta-core Arm Mali-G57 GPU @ 880MHz with support for OpenGL ES 3.2/2.0/1.1, Vulkan 1.1/1.0, OpenCL 2.2, 5.0 TOPS NPU, HiFi 4 audio DSP, etc… System Memory – 4 or 8 GB LPDDR4X Storage – 32, 64, 128, or 256 GB UFS storage, compatible with UFS gear 2.1 Wireless – 802.11b/g/n/ac WiFi 5 2×2 MU-MIMO, Bluetooth 5.0 314-pin MXM connector with Storage – 1x SDIO (4-bit) compatible with SD/SDIO standard, up to version 3.0 Display HDMI 2.0b up to 4Kp60 Dual-channel LVDS […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 38 Comments on Lichee Pi 4A RISC-V SBC takes on Raspberry Pi 4 with TH1520 processor

Lichee Pi 4A RISC-V SBC takes on Raspberry Pi 4 with TH1520 processor

Lichee Pi 4A RISC V SBC

Lichee Pi 4A is a single board computer (SBC) powered by Alibaba T-Head TH1520 quad-core RISC-V Xuantie C910  processor @ 2.0 GHz with an Imagination GPU and a 4 TOPS NPU for AI that can compete against the Raspberry Pi 4 in terms of performance and features. We previously mentioned the Lichee Pi 4A (LPi4A) in our article about the Sipeed LM4A RISC-V system-on-module, but at the time we only had some benchmarks for the board and no photos and specifications about the SBC. Sipeed has now released photos, published detailed specifications, and is taking orders for the board. So let’s have a closer look. Lichee Pi 4A specifications against the ones for Raspberry Pi 4.   The TH1520 used to be advertised at up to 2.5 GHz, but it seems to have now come down to 2.0 GHz. Software support will include Debian, OpenWrt, and Android which should then […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 4 Comments on PicoVNA 5 software for vector network analyzers supports Windows, Linux, MacOS, and Raspberry Pi

PicoVNA 5 software for vector network analyzers supports Windows, Linux, MacOS, and Raspberry Pi

PicoVNA 108 vector network analyzer

Pico Technology has released PicoVNA 5 control software for their vector network analyzers for Windows x86 64-bit, Mac, Linux x86 64-bit, and Raspberry Pi 3 and greater single board computers, superseding the Windows-only PicoVNA 3 software. As a Ubuntu user, I hate it when some hardware tool forces me to install software on Windows when there’s no Linux alternative, so any company that provides cross-platform tools is making the right move. I’m also not quite sure what a “vector network analyzer” (VNA) is, so I’ll first look into the PicoVNA 106 and PicoVNA 108 6/8.5 GHz VNAs from the company. PicoVNA 106/108 vector network analyzers highlights and specifications: Frequency ranges PicoVNA 106 – 300 kHz to 6 GHz PicoVNA 108 – 300 kHz to 8.5 GHz Up to 5500 dual-port S-parameters per second > 10 000 S11 + S21 per second Quad RX four-receiver architecture Up to 124 dB dynamic […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on HealthyPi 5 WiFi & BLE biosignal-acquisition sensor platform captures body temperature, ECG, PPG, SpO₂, and other vitals (Crowdfunding)

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 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 4 Comments on BIGTREETECH Pad 7 7-inch 3D printer control display runs Klipper on Allwinner H616 SoM or Raspberry Pi CM4

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 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 25 Comments on BIGTREETECH Pi v1.2 – A Raspberry Pi-sized Allwinner H616 SBC for 3D printers

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 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 3 Comments on MicroPython 1.20 released with Raspberry Pi Pico W support, mip package manager, smaller footprint

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 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on LattePanda Sigma – An Intel Core i5-1340P Raptor Lake SBC with ATmega32U4 MCU for Arduino support

LattePanda Sigma – An Intel Core i5-1340P Raptor Lake SBC with ATmega32U4 MCU for Arduino support

LattePanda Sigma

LattePanda Sigma is a 3.5-inch single board computer (SBC) with an Intel Core i5-1340P Raptor Lake-P processor and a Microchip ATmega32U4 microcontroller to control I/Os with Arduino programming. The board comes with 16GB soldered-on LPDDR5 RAM, supports M.2 NVMe/SATA SSDs and SATA drives for storage, offers HDMI 2.1, eDP, and USB-C DisplayPort video outputs, dual 2.5GbE networking, two Thunderbolt 4 ports, and three M.2 sockets for expansion sich as WiFi or  4G/5G modules. LattePanda Sigma specification SoC – Intel Core i5-1340P 12-core (4P+8E)/16-thread Raptor Lake hybrid processor @ up to 4.6 GHz (Performance cores), 3.4GHz (Efficient cores), 12MB L2 Cache, 80EU Intel Iris Xe Graphics @ up to 1.45 GHz; PBP: 28 W MCU – Microchip ATmega32U4-MU 8-bit AVR microcontroller with 32 KB flash, 2.5 KB SRAM, 1 KB EEPROM System Memory – 16GB dual-channel LPDDR5-6400 Storage – M.2 SSD (NVMe/SATA) socket, SATA III port Display I/F HDMI 2.1 up […]