The M5Stack Module LLM is yet another box-shaped device from the company that provides artificially intelligent control without internet access. It is described as an “integrated offline Large Language Model (LLM) inference module” which can be used to implement local LLM-based solutions in smart homes, voice assistants, and industrial control. Module LLM is powered by the AX630C SoC, equipped with 4GB LPDDR4 memory, 32GB storage, and a 3.2 TOPS (INT8) or 12.8 TOPS (INT4) NPU. M5Stack says the main chip has an average runtime power consumption of 1.5W, making it suitable for long-term operation. It has a built-in microphone, speaker, microSD card slot, and USB OTG. The USB port can connect peripherals such as cameras and debuggers, and the microSD card slot supports cold and hot firmware updates. The M5Stack Module LLM joins the list of other offline, on-device LLM-based solutions, such as the SenseCAP Watcher, Useful Sensors’ AI in […]
USB Insight Hub is an open-source, ESP32-S2-based tool for testing USB devices (Crowdfunding)
The USB Insight Hub is a USB testing tool based on the ESP32-S2 wireless SoC made by Ecuador-based company Aerio Solutions SAS and aimed at developers and tech enthusiasts. The Insight Hub connects to a computer via a USB Type-C port and expands it to three downstream ports, each with a 1.3-inch color display screen that displays information about the serial device such as its assigned enumeration name, voltage, and current. The enumeration name displayed helps to identify all virtual ports running through the Insight Hub. This feature is quite handy when multiple devices are connected. Although the hub features a Wi-Fi-enabled SoC, it doesn’t currently support wireless networking. Each downstream port is connected to a dedicated voltage and current meter for real-time feedback. Also, the hub implements configurable short-circuit, over-current, and back-current protection. It also allows you to control the individual activation and deactivation of the D+/D- data lines […]
MicroPython v1.24 release adds support for RP2350 and ESP32-C6 microcontrollers, various RISC-V improvements
MicroPython has become one of the most popular ways of programming microcontrollers, and the just-released MicroPython v1.24 adds support for the widely-used Raspberry Pi RP2350 and Espresif ESP32-C6 microcontrollers and a range of other changes. Those include improved RISC-V support with native code generation, an updated Zephyr v3.7.0 RTOS with threading support, unified TinyUSB bindings across ports, a portable UART IRQ API, and enhanced mpremote recursive copy. Damien George goes into more detail about the RISC-V improvements: … include an RV32IMC native code emitter, native NLR and GC register scanning implementations for 32- and 64-bit RISC-V, support for placing RV32IMC native code in .mpy files and also freezing it, and RISC-V semihosting support. Testing for RISC-V is done with the qemu and unix ports, and the support is utilised in the esp32 and rp2 ports. The Raspberry Pi RP2350 comes with both Arm Cortex-M33 and RISC-V cores, and the good […]
CodeCell is a ESP32-C3 mini development board for robots, wearables, smart home projects
Engineer and YouTuber Carl Bugeja recently developed CodeCell, a tiny ESP32-C3 development board designed as the brain for robots, wearables, and smart home devices. This module features a nine-axis inertial measurement unit (IMU) for motion fusion and an optional VCNL4040 light sensor. It includes a USB Type-C port for data and power as well as a lithium-polymer battery with a charging circuit. Measuring just 18.5 x 18.5mm this compact board is even smaller than other tiny ESP32 development boards such as Waveshare’s ESP32-S3-Zero and Seeed Studio’s XIAO ESP32S3. However, the Epi C3 is smaller at 23 x 12.75 mm, and so are the Unexpected Maker NANOS3 (25 x 10 mm) and Unexpected Maker OMGS3 (28 x 11 mm). CodeCel ESP32-C3 mini development board specification Microcontroller – ESP32-C3 RISC-V MCU 160MHz 32-bit RISC-V processor core 400kB SRAM, 4MB flash storage Wi-Fi 4 and Bluetooth Low Energy (BLE) connectivity Sensors Vishay VCNL4040 light […]
OpenUC2 10x is an ESP32-S3 portable microscope with AI-powered real-time image analysis
Seeed Studio has recently launched the OpenUC2 10x AI portable microscope built around the XIAO ESP32-S3 Sense module. Designed for educational, environmental research, health monitoring, and prototyping applications this microscope features an OV2640 camera with a 10x magnification with precise motorized focusing, high-resolution imaging, and real-time TinyML processing for image handling. The microscope is modular and open-source making it easy to customize and expand its features using 3D-printed parts, motorized stages, and additional sensors. It supports Wi-Fi connectivity with a durable body, uses USB-C for power and swappable objectives make it usable in various applications. Previously we have written about similar portable microscopes like the ioLight microscope and the KoPa W5 Wi-Fi Microscope, and Jean-Luc also tested a cheap USB microscope to read part number of components. Feel free to check those out if you are looking for a cheap microscope. OpenUC2 10x specifications: Wireless MCU – Espressif Systems ESP32-S3 CPU […]
Waveshare ESP32-S3 ETH board provides Ethernet and camera connectors, supports Raspberry Pi Pico HATs
Waveshare has recently launched the ESP32-S3-ETH development board with an Ethernet RJ45 jack, a camera interface, and compatibility with Raspberry Pi Pico HAT expansion boards. This board includes a microSD card interface and supports OV2640 and OV5640 camera modules. Additionally, it offers an optional Power over Ethernet (PoE) module, making it ideal for applications such as smart home projects, AI-enhanced computer vision, and image acquisition. Previously, we have written about LILYGO T-ETH-Lite, an ESP32-S3 board with Ethernet and optional PoE support. We have also written about LuckFox Pico Pro and Pico Max, Rockchip RV1106-powered development boards with 10/100M Ethernet and camera support. The ESP32-S3-ETH board is like a combination of those two, where you get an ESP32-S3 microcontroller, Ethernet (with optional PoE), and a camera interface. ESP32-S3 ETH development board specifications: Wireless module ESP32-S3R8 MCU – ESP32-S3 dual-core LX7 microprocessor @ up to 240 MHz with Vector extension for machine learning Memory – 8MB PSRAM Storage […]
ESP32-S3 board features 1.91-inch AMOLED display and QMI8658 6-axis motion sensor
Waveshare has launched an ESP32-S3 1.91-inch AMOLED development board with a 6-axis motion sensor designed for the rapid prototyping of IoT and portable projects with interactive displays. The board is built around the ESP32-S3R8 chip, featuring a 32-bit LX7 dual-core processor running at up to 240MHz, with integrated 2.4GHz Wi-Fi and Bluetooth BLE 5. It also includes 16MB Flash, 8MB PSRAM, 512KB SRAM, and 384KB ROM for efficient processing and memory management. At the core of its display capabilities is a 1.91-inch AMOLED screen with a 240×536 resolution, supporting 16.7 million colors. Powered by the RM67162 controller and connected via the QSPI interface, the display is ideal for running GUI applications like LVGL. The board is available in both touch and non-touch versions, with the touch-enabled models using the FT3168 touch IC. Other features include a QMI8658 6-axis IMU, a microSD card slot, and a Lithium battery header. The ESP32-S3 […]
Seeed Studio launches ESP32-C6-powered 60GHz mmWave human fall detection and breathing/heartbeat detection sensor kits
Last year, we reviewed the MR60FDA1 60GHz mmWave fall detection sensor kit, which utilizes the XIAO ESP32C3 module as its core. This module, featuring both Wi-Fi and Bluetooth connectivity, opens up various IoT applications. Now, Seeed Studio has introduced advanced mmWave sensor modules specifically designed for enhanced fall detection and heartbeat monitoring. The MR60FDA2 is optimized for fall detection, while the MR60BHA2 is designed for heartbeat monitoring. Powered by an ESP32-C6 WiFi 6 and RIS-Bluetotoh LE microcontroller, these modules offer reliable detection for real-time fall monitoring and accurate heartbeat tracking. They also feature customizable RGB LEDs and ambient light sensors, providing additional flexibility. With expansion options via Grove GPIO ports, these versatile modules are well-suited for applications like smart home integration and healthcare monitoring. Previously, we covered the RoomSense IQ and the DesignCore RS-6843AOPU with mmWave technology. The RoomSense IQ is an ESP32-S3-based modular room monitor with mmWave radar presence […]