LILYGO T3S3 E-Paper is an ESP32-S3 WiFi and Bluetooth LE development board with a 2.13-inch e-Paper display and an SX1262 LoRa module that should make it suitable for off-grid messsaging even under sunlight. LILYGO has made some ESP32-S3 boards with an e-Paper display and some ESP32-S3 boards with a LoRa module, but unless I’m mistaken, the T3S3 E-Paper is the first board from LILYGO that combines ESP32-S3 SoC with e-Paper display and a LoRa module. It builds upon the earlier LILYGO T3S3 board with a 0.96-inch OLED. LILYGO T3S3 E-Paper specifications: ESP32-S3-WROOM-1U wireless module SoC – ESP32-S3FH4R2 dual-core Tensilica LX7 microcontroller @ up to 240 MHz with 2.4 GHz 802.11n WiFi 4 and Bluetooth 5.0 LE connectivity Memory – 2MB PSRAM Storage – 4MB SPI flash IPEX antenna connector Storage – MicroSD card slot Display – 2.13-inch e-Paper display (DEPG0213BN) with 250×122 resolution; size: 48.55 x 23.70mm Wireless 2.4 GHz […]
ESP32-S3 LCD Driver Board supports both circular and square displays
Waveshare ESP32-S3 LCD Driver Board is a compact development board designed to simplify the GUI development process. The company mentions that the board supports 2.1-inch, 2.8-inch, and 4-inch displays and with an additional SPI and I2C header it can support a wide range of LCD panels. Additionally, the board features an onboard lithium battery charger and 15 usable GPIO pins for added flexibility. These features make this device suitable for applications like smart home devices, industrial control panels, and interactive kiosks. It seems like the board supports the 4-inch LF40 square touchscreen display that we wrote about just yesterday. other than that it also supports 2.1-inch and 2.8-inch circular displays. Seeking off circular displays, we have previously written about some ESP32-powered development boards with circular displays like the Waveshare 1.69-inch IPS touch LCD, the Waveshare RP2040-LCD-0.99-B, the Waveshare ESP32-S3-LCD-1.28 and many other types of displays. Feel free to check those […]
Microchip PIC64GX is a quad-core 64-bit RISC-V microprocessor for real-time processing
Microchip has introduced its first 64-bit RISC-V microprocessor family with the PIC64GX pin-to-pin compatible with the company’s PolarFire SoC FPGA devices and designed for edge designs for the industrial, automotive, communications, IoT, aerospace, and defense segments. The PIC6GX MPU supports asymmetric multiprocessing (AMP) to run Linux, real-time operating systems, and bare metal in a single processor cluster with secure boot capabilities. The company further claims the PIC64GX MPU is “the first RISC-V multi-core solution that is AMP capable for mixed-criticality systems”. The first member of the PIC64GX RISC-V family is the PIC64GX1000 microprocessor. Microchip PIC64GX1000 specifications: CPU Quad-core SiFive U54 64-bit five-stage, single-issue, in-order pipeline RISC-V (RV64GC) processor at up to 625 MHz with AMP and deterministic latencies, PMP and MMU units Single-core SiFive E51 64-bit RISC-V (RV64IMAC) monitor processor core at up to 625 MHZ with PMP unit Cache L1 memory subsystem with Single-Error Correct, Double-Error Detect (SECDED) Flexible […]
SkyByte Mini Wi-Fi-controlled drone runs the open-source ESP32-Drone firmware (Crowdfunding)
The SkyByte Mini is a simple, miniature drone powered by the ESP32-WROOM-32 WiFi and Bluetooth module, and comprised of an MPU6050 inertial measurement unit, coreless motors, and plastic propellers. The Espressif ESP32-WROOM-32 module on the board provides a wireless connection that can be used to control the drone from a mobile app. The printed circuit board uses an “all-in-one” design that removes the need for 3D-printed parts and makes for a more compact final product. The drone’s functionality can be extended with external sensors to suit desired applications. It can be used for hobbyist and educational purposes. SkyByte Mini drone specifications: Wireless Module – ESP32-WROOM-32 module, dual-core Tensilica processor, with integrated Wi-Fi + Bluetooth 4.2 LE Motor control – 4x SI2302 N-Channel 20V MOSFET USB – USB-C port for power and programming Sensor – TDK Invensense MPU6050 IMU 3-axis gyroscope and 3-axis accelerometer Misc- 3x debugging LEDs, 1x power LED, […]
MyoWare 2.0 Muscle Sensor Wireless Kit targets electromyography (EMG) applications
The MyoWare 2.0 Muscle Sensor Wireless Kit is an Arduino-compatible electromyography (EMG) sensor kit capable of detecting and measuring the electrical signals generated by muscle fibers in the body. The MyoWare 2.0 kit is a collaborative product by SparkFun and Advancer Technologies. The MyoWare 2.0 ecosystem brings several improvements over the previous generation, including a compact design, solderless snap connectors, and an upgraded chipset for improved reliability and performance. It includes shields designed to seamlessly interface with the MyoWare 2.0 Muscle sensor, a wearable, Arduino-compatible EMG sensor. The Muscle Sensor’s wearable design makes it possible to directly attach biomedical sensor pads and add-on shields to the board. It operates on a single-supply voltage between +3.3V to +5V and supports three separate output modes. It analyzes filtered and rectified activity from muscle movement and outputs a signal from 0 to the power source voltage (VIN) that represents the intensity of flex. […]
Forlinx FET3562J-C SoM features Rockchip RK3562(J) SoC with 1 TOPS NPU, dual Ethernet, camera, display interfaces
The Forlinx FET3562J-C is a Rockchip RK3562/RK3562J powered System-on-Module (SoM) built with a 22nm process and features four high-performance ARM Cortex-A53 cores running at up to 2GHz. It also can support up to 2GB LPDDR4 RAM and can be configured with up to 16GB eMMC storage. Additionally, it has 1 TOPS NPU and standard peripherals like Ethernet, Wifi, Bluetooth, LVDS, MIPI DSI, and much more. All these features make this SoM useful for IoT, automation, and consumer electronic applications. Previously, we have seen Forlinx launch similar SoM with development boards such as the Forlinx RZ/G2L, the FET-MX9352-C, the OK335xS-II and much more feel free to check those out if you are interested in the topic. Forlinx FET3562J-C SoM and carrier board specifications SoM Specifications SoC (one or the other) Rockchip RK3562J – ARM Cortex-A53 quad-core @ 1.8GHz Rockchip RK3562 ARM Cortex-A53 quad-core @ 2.0 GHz NPU – 1 TOPS INT8 […]
Sipeed Tang Mega 138K Dock is a lower-cost GOWIN GW5AST FPGA + RISC-V development board
The Sipeed Tang Mega 138K Dock is a low-cost version of the Tang Mega 138K Pro development board launched last year with the GOWIN GW5AST FPGA + RISC-V SoC, two SPF+ cages, a PCIe 3.0 x4 interface, and DVI Rx and Tx ports. The new Tang Mega 138K Dock keeps a GW5AST FPGA SoC but with a 484-ball package that fits on a smaller system-on-module, and does without the SPF+ cages, replaces the PCIe 3.0 x4 interface with a PCIe 2.0 x4 interface, and only uses a single HDMI port for DVI Rx or Tx. Sipeed Tang Mega 138K system-on-module Let’s first have a look at the specifications of the SoM itself: SoC FPGA – GOWIN GW5AST-LV138FPG484A with 138,240 LUT4 1,080 Kb Shadow SRAM (SSRAM) 6,120 Kb Block SRAM (BSRAM) Number of BSRAM – 340 298x DSP slices 12x PLLs 16x global clocks 24x HCLK 8x transceivers at 270Mbps to […]
Infineon CY8CKIT-062S2-AI PSoC 6 Edge AI evaluation kit features multiple sensors, Arduino headers, Pmod connectors
Infineon CY8CKIT-062S2-AI evaluation kit is a hardware platform built around the PSoC 6 family of MCUs and designed to help developers easily create and test edge AI applications. The dev board features an array of sensors including radar, microphone, magnetometer, IMU, and an air pressure sensor, which make it easy for data collection applications. The board also features Wi-Fi and Bluetooth connectivity and includes an additional expansion header that can be used to connect other modules and sensors. All of these features make this board useful for building a wide range of AI-powered applications, including smart home automation, industrial monitoring, wearables, healthcare devices, and robotics. Previously we have written about similar low-power edge AI modules such as the Digi ConnectCore MP25, the Axiomtek AIE110-XNX, and the Arducam KingKong feel free to check those out if you are interested in such low-power modules. Infineon CY8CKIT-062S2-AI Evaluation Kit specifications: MCU – Infineon […]