Bee Motion S3 – An ESP32-S3 board with a PIR motion sensor (Crowdfunding)

ESP32 S3 board PIR Motion Sensor

The Bee Motion S3 is an ESP32-S3 WiFi and Bluetooth IoT board with a PIR motion sensor beside the more usual I/Os, Qwiic connector, USB-C port, and LiPo battery support. It is at least the third PIR motion wireless board from Smart Bee Designs, as the company previously introduced the ESP32-S2 powered Bee Motion board and the ultra-small Bee Motion Mini with an ESP32-C3 SoC. The new Bee Motion S3 adds a few more I/Os, a light sensor, and the ESP32-S3’s AI vector extensions could potentially be used for faster and/or lower-power TinyML processing. Bee Motion S3 specifications: Wireless module – Espressif Systems ESP32-S3-MINI-1 module (PDF datasheet) based on ESP32-S3 dual-core Xtensa LX7 microcontroller with 512KB SRAM, 384KB ROM, WiFi 4 and Bluetooth 5.0 connectivity, and equipped with 8MB of QSPI flash and a PCB antenna USB – 1x USB Type-C port for power and programming Sensors PIR sensor S16-L221D […]

Hand Gesture Recognition on ESP32-S3 with the ESP-DL library

ESP32-S3 AI Gesture Recognition

Ali Hassan Shah has deployed a deep learning model for hand gesture recognition on the ESP32-S3-EYE  board using the ESP-DL library and achieved AI-powered hand recognition with a 0.7-second latency on the ESP32-S3 camera board. Last year, Espressif released the ESP-DL library for the ESP32-S3 microcontroller with AI vector extensions, as well as ESP32 and ESP32-S2, along with a face detection demo that ran much faster on the ESP32-S3. Ali rolled out his own solution for AI gesture recognition and provided a step-by-step tutorial along the way. The main steps to deploying a custom model with the ESP-DL library include: Model Development that involves Getting or creating datasets. In this case, downloaded from Kaggle with 6 gestures namely Palm, I, Thumb, Index, Ok, and C. Testing, training, and calibrating the datasets Building a (CNN) Model Training a Model Saving a Model to the Hierarchical Data format (.h5) Converting the H.5 […]

Getting Started with CrowBot BOLT smart robot car

Elecrow CrowBot BOLT & Game Controller Assembled

CrowBot BOLT is a smart robot car based on an ESP32 wireless microcontroller and designed for the education market with the ability to program the robot with visual programming, Arduino, or MicroPython. Elecrow sent me a sample of the CrowBot BOLT kit for evaluation so I’ll have a look at the hardware, show how to assemble it, showcase the features of the built-in firmware, and demonstrate how to program the robot with visual programming, Arduino, and MicroPython using some of the provided code samples. CrowBot BOLT unboxing The package lists some of the highlights with 16 teaching courses, support for multiple programming platforms, scalability with Grove connectors, and the inclusion of the Joystick that’s also programmable. The CrowBot BOLT comes as a kit so there will need to be some work to do to assemble the robot, but no soldering is required (in normal cases, more on that later). The […]

Inkplate 2 is a 2.13-inch WiFi ePaper display programmable with Arduino or MicroPython (Crowdfunding)

Inkplate 2 ESP32 color epaper display

Inkplate 2 wireless ePaper display is by far the smallest display from Soldered Electronics with a 2.13-inch 3-color ePaper display while previous Inkplate models rely on 6-inch to 9.7-inch ePaper displays. The tiny display board integrates an ESP32 dual-core wireless microcontroller that drives the display, provides WiFi and Bluetooth connectivity plus some I/Os, and can be programmed with the Arduino IDE or MicroPython. Inkplate 2 specifications: Wireless module – ESP32-WROVER-E module with ESP32 dual-core microcontroller with Wi-Fi 4 & Bluetooth 4.0 connectivity, 8MB PSRAM, 4MB flash (Note: The product’s description lists 8MB flash, and 4MB RAM, but there’s no ESP32-WROVER-E in this configuration) Antenna- External IPX antenna Display – 2.13-inch ePaper display with 212×104 resolution (111 DPI) Red, black, and white colors 15 seconds full refresh time (no partial update) USB – 1x USB Type-C port for power and programming via CH340 USB to TLL chip Expansion 20-pin header with […]

LOLIN S3 Pro ESP32-S3 board offers display port, MicroSD card slot


LOLIN S3 Pro is a WiFi & Bluetooth LE IoT board built around the ESP32-S3-WROOM-1 modules with various I/Os including a display port, a microSD card slot, and a LOLIN I2C connector. The wireless module ships with 16MB QSPI flash and 8MB PSRAM, and the board also features two 16-pin headers with ADC, DAC, I2C, SPI, UART, etc…, a USB Type-C port, and support for a LiPo batteries with 500mA charging.   LOLIN S3 Pro specifications: Wireless module – ESP32-S3-WROOM-1 module with: Espressif Systems ESP32-S3 dual-core Tensilica LX7 @ up to 240 MHz with vector instructions for AI acceleration, 512KB RAM, 2.4 GHz WiFi 4 and Bluetooth 5.0 LE with support for long-range, up to 2Mbps data rate, mesh networking 16MB QSPI flash 8MB PSRAM PCB antenna Storage – MicroSD card socket Display I/F – Display port for “TFT and EPD” displays USB – 1x USB Type-C port Expansion 2x […]

EsPiFF board combines ESP32 module with RP2040 MCU in the Raspberry Pi 4 form factor (Crowdfunding)

Raspberry Pi 4 SBC ESP32 RP2040 MCU

The EsPiFF board may look like a Raspberry Pi 4 Linux SBC but it is equipped with an ESP32-WROVER WiFi and Bluetooth module together with a Raspberry Pi RP2040 microcontroller that acts as a co-processor. The goal here is to provide a Raspberry Pi 4 replacement for applications that require higher reliability and even 24/7 operation without necessarily needing the processing power and multimedia capabilities of the Broadcom BCM2711 Arm processor found in the Pi or the versatility of a Linux operating system. EsPiFF board specifications: Wireless module – ESP32-WROVER module with dual-core ESP32-D0WDQ6 microcontroller with 2.4 GHz WiFi 4 and Bluetooth, 8 MB PSRAM and 16 MB flash Co-processor – Raspberry Pi RP2040 dual-core Cortex-M0+ microcontroller @ up to 133 MHz with 16MB flash used to emulate the Raspberry Pi’s GPIOs on the 40-pin header Additional storage 2 KB of fast FRAM for permanent storage of process data. (faster […]

Matter compatible ESP-ZeroCode modules enable plug-and-play automation solutions

ESP-ZeroCode modules

Espressif Systems has just announced the Matter-compatible ESP-ZeroCode modules with Wi-Fi and/or Thread (802.15.4) wireless connectivity that are designed as plug-and-play solutions for LED lights, outlets, switches, dimmers, relays, fans, and other lighting and electrical devices. I was only recently introduced to no-code programming in a recent post by Ninephon Kongangkab explaining how to use SenseCraft firmware for no-code programming on Wio Terminal. Basically, there’s no need to know Arduino, MicroPython, or any programming language, as the user just has to press a few buttons to configure an IoT device to meet his/her requirements. With the ESP-ZeroCode modules, Espressif offers something similar using several of their ESP32 chips. The first ESP-ZeroCode modules will be offered with either ESP32-C3 (aka ESP8685) or ESP32-C2 (aka ESP8684) WiFi & BLE RISC-V SoCs, or ESP32-H2 802.15.4 & BLE RISC-V microcontroller, and ships with a Matter compatible firmware that enables “near-zero investment in development”. Not […]

Giveaway Week – GL.iNet GL-S10 BLE to MQTT Gateway

GL.inet GL-S10 review

The sixth prize of this year’s Giveaway Week will be GL.iNET GL-S10 BLE to MQTT gateway based on the ESP32 microcontroller and offering Ethernet, WiFi, and Bluetooth LE connectivity. The gateway is used to gather data from Bluetooth LE devices such as beacons and can be used in warehouses, shopping malls, airports, exhibition halls, tourist attractions, etc… for personnel management, asset management, environmental monitoring, indoor navigation, and more. I reviewed the ESP32-based BLE to MQTT gateway with the provided BLE beacon at the end of last year using MQTT X open-source client and the GL-S10 Tool App for Android. It allowed me to send commands through MQTT topics, for example, to set or retrieve the beacon’s (WiFi) configuration, and receive the data through MQTT subscriptions. Some of the data include the MAC address, RSSI, ad (Broadcast data advData), and a timestamp. It took some effort to get it working, but […]

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