RejsaCAN-ESP32-S3 review

Programming RejsaCAN-ESP32-S3 CAN bus board with Arduino for car “hacking”

The RejsaCAN-ESP32-S3 is an ESP32-S3 board suitable for developers who want to build a car-related project. It can control or read the data from the OBD-II connector in your car using 2.4 GHz Wi-Fi or/and Bluetooth 5 (LE), or for IoT projects, connecting a sensor to the board and sending data to an app, the cloud, or log the data to a microSD Card. The board is designed to be small enough to be installed in a car.   The board is an evolution of the previous ESP32-based RejsaCAN-ESP32 with the developer – Magnus Thomé –  switching to the ESP32-S3 chip as previously announced. The main specifications are similar, but the ESP32-S3 is a newer LX7 processor with Bluetooth LE 5.0 support, and the ESP32 board had to use a USB-to-serial chip to communicate or upload the program through a PC, but the new board uses the USB interface on […]

Banana Pi BPI-Centi-S3 ESP32-S3 display board

Banana Pi BPI-Centi-S3 – An ESP32-S3 board with an 1.9-inch TFT display and a rotary encoder

Banana Pi BPI-Centi-S3 is an ESP32-S3 WiFi & BLE IoT board with a 1.9-inch color TFT display, a rotary encoder, and a few I/Os, which offers an alternative to the T-Track ESP32-S3 board with AMOLED and trackball we covered a few days ago. The Banana Pi board also comes with a 2MB on-chip PSRAM, an 8MB SPI flash, a USB Type-C port for power and debugging, two buttons, a buzzer, and an RGB LED. Besides powering the board with its USB-C port, you can also connect a LiPo battery with charging support. Banana Pi BPI-Centi-S3 specifications: SoC – Espressif Systems ESP32-S3 dual-core Tensilica LX7 @ up to 240 MHz with vector instructions for AI acceleration, 512KB RAM, 2MB PSRAM, wireless connectivity Storage – 8MB SPI flash Connectivity via ESP32-S3 2.4 GHz 802.11 b/g/n Wi-Fi 4 with 40 MHz bandwidth support up to 150 Mbps Bluetooth Low Energy (BLE) 5.0 connectivity […]

ArmSoM RK3588 AIModule7 NVIDIA Jetson Nano-compatible SOM
LILYGO T-Track board

LILYGO T-Track ESP32-S3 board combines 1.1-inch AMOLED display with trackball

After the T-Display-S3 AMOLED board, LILYGO has launched another ESP32-S3 board with an AMOLED display named the T-Track that features a smaller 1.1-inch AMOLED display and a trackball that allows the user to navigate any menu or user interface shown on the display. The rest of the board’s specifications are very similar with an ESP32-S3R8 dual-core chip with 8MB PSRAM providing WiFi and BLE connectivity, a 16MB SPI flash for storage, two rows of pins for up to 18x GPIOs, a Qwicc connector for module expansion, and support for USB-C charging and a LiPo battery for power. T-Track specifications: Wireless MCU – Espressif Systems ESP32-S3R8 dual-core Tensilica LX7 @ up to 240 MHz with vector instructions for AI acceleration, 512KB RAM, 8MB PSRAM, wireless connectivity Storage – 16MB flash Connectivity via ESP32-S3 2.4 GHz 802.11 b/g/n Wi-Fi 4 with 40 MHz bandwidth support Bluetooth Low Energy (BLE) 5.0 connectivity with […]

LOLIN S3 Mini

Lolin S3 Mini – Tiny $5 ESP32-S3 board follows Wemos D1 Mini form factor

LOLIN S3 Mini is a tiny ESP32-S3 WiFi and Bluetooth IoT development board that follows the Wemos D1 Mini form factor and supports its equally tiny stackable shields to add relays, displays, sensors, and so on. Wemos/LOLIN introduced their first ESP32-S3 board last year with the LOLIN S3 board with plenty of I/Os and an affordable $7 price tag.  But I prefer the company’s Mini form factor because of its size and the ability to select add-on boards to easily add a range of features to your projects. So I’m pleased to find out the company has now launched the LOLIN S3 Mini following the ESP32-C3 powered LOLIN C3 Mini board unveiled in March 2022. LOLIN S3 Mini specifications: WiSoC – Espressif Systems ESP32-S3FH4R2 CPU – dual-core Tensilica LX7 @ up to 240 MHz with vector instructions for AI acceleration Memory – 512KB RAM, 2MB PSRAM Storage – 4MB QSPI […]

PicoVNA 108 vector network analyzer

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

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 […]

ESP32-H2-DevKitM-1

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

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 […]

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MicroPython 1.20 Pico W

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

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 […]

Rockchip RK3288-CG W SBC

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

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 […]

Boardcon LGA3576 Rockchip RK3576 System-on-Module designed for AI and IoT applications