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February 14, 2023February 14, 2023

T-Display-S3 Touch ESP32-S3 board adds a touchscreen panel

T-Display-S3 Touch is an update to the T-Display-S3 “Basic” ESP32-S3 board that adds a 320×170 touchscreen using a CST816 I2C touchscreen sensor. The rest of the specifications remains the same with an ESP32-S3R8 dual-core WiFi and Bluetooth LE microcontroller, 16MB flash, a 1.9-inch 320×170 color display, a USB Type-C port, a few I/Os, and support for a LiPo battery. T-Display-S3 Touch 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 long-range support, up to 2Mbps data rate. PCB antenna and external u.FL antenna support Display – 1.9-inch 320×170 IPS full-color LCD using the ST7789V 8-bit parallel display controller and Shenzhen Zhengxin CST816 I2C touchscreen sensor. USB – […]

ATOMS3 Lite ESP32-S3 Infrared Transmitter

February 5, 2023February 5, 2023

M5Stack ATOMS3 Lite is a tiny ESP32-S3 IoT controller with WiFi, Bluetooth, and an infrared transmitter

ATOMS3 Lite is the latest ESP32-S3 IoT platform from the M5Stack Atom series wireless programmable controllers, doing without the 0.85-inch display and IMU sensor found in the ATOM S3 development kit simply using an RGB LED instead. M5Stack ATOM S3 Lite features the ESP32-S3FN8 WiFi and Bluetooth SoC with 8MB SPI flash, an infrared transmitter, a USB-C port for power and programming, a few I/O pins, user and reset buttons all in just a 24x24x9.5mm housing. ATOMS3 Lite specifications: Wireless MCU – Espressif Systems ESP32-S3FN8 dual-core 32-bit Xtensa LX7 microcontroller with AI vector instructions up to 240MHz, RISC-V ULP co-processor, 512KB SRAM, 2.4GHz WiFi 4 (802.11b/g/n), Bluetooth 5.0 BLE + Mesh, 8MB flash Antenna – Internal “3D” antenna Expansion 9x pins with G5, G6, G7, G8, G38, and G39 GPIOs, 5V, 3.3V, and GND 4-pin Grove connector Misc IR LED (infrared transmitter/blaster) WS2812B-2020 RGB LED Reset and user buttons M.2 […]

ArmSoM RK3588 AIModule7 NVIDIA Jetson Nano-compatible SOM

January 10, 2023January 11, 2023

Maker Feather AIoT S3 – An ESP32-S3 board programmable with CircuitPython or Arduino

Cytron Maker Feather AIoT S3 is an ESP32-S3 board compatible with the Adafruit Feather form factor and suitable for makers and STEM education with features like LEDs for GPIOs, a buzzer, expansion headers and connectors, and support for CircuitPython & Arduino. The WiFi and Bluetooth LE IoT board also supports LiPo and Li-Ion batteries, includes a USB Type-C port for power/charging and programming, and a few buttons. It’s suitable for machine learning thanks to the vector extensions found in the ESP32-S3 microcontroller. Maker Feather AIoT S3 specifications: Wireless module – Espressif ESP32-S3-WROOM-1-N8R8 module with ESP32-S3 dual-core LX7 microprocessor @ up to 240 MHz with Vector extension for machine learning, 8MB FLASH, 8MB PSRAM, WiFi 4 and Bluetooth 5 LE/Mesh USB – 1x USB Type-C port power and programming Expansion 2x GPIO headers compatible with Adafruit Feather form factor and FeatherWing add-on boards 3x Maker Ports compatible with Qwiic, STEMMA QT, […]

January 2, 2023

Walter ESP32-S3 board supports NB-IoT, LTE-M, and GPS

QuickSpot Walter is an ESP32-S3 development board with built-in WiFi 4 and Bluetooth LE/Mesh connectivity, as well as NB-IoT, LTE-M, and GNSS support through a Sequans GM02SP 5G IoT modem that appears to be a variant of the Sequans Monarch 2 GM02S with GNSS support. Walter specifications: Wireless modules ESP32-S3-WROOM-1-N16R2 module ESP32-S3 dual-core LX7 microcontroller 2MB QSPI PSRAM 16MB QSPI flash 802.11 b/g/n WiFi 4 up to 150 Mbps with on-board antenna Bluetooth 5 LE up to 2Mbps, Bluetooth Mesh Sequans GM02SP modem LTE Cat M1 (LTE-M) and NB1/NB2 (NB-IoT) GNSS and assisted GNSS using GPS and Galileo constellations NanoSIM for cellular connectivity I/Os 2x 14-pin headers with up to 24x GPIO, UART, VIN, 3.3V, and GND 23x test points 3.3V I/O voltage Power Supply 5V (3.0 to 5.5V) DC via VIN pin 5V via USB Type-C port Dimensions – 55 x 24.8 mm Temperature Range – -40°C to +85°C […]

December 21, 2022

EdgeBox-ESP-100 – An ESP32-S3 industrial controller with RS485, CAN Bus, DIO, 4G LTE, and more

We’ve previously covered the EdgeBox-RPi4 industrial controller powered by a Raspberry Pi Compute Module 4 and plenty of I/Os such as RS485, RS232, digital inputs and outputs, and connectivity options such as Gigabit Ethernet, WiFi 5, Bluetooth 5, and 4G LTE. But if you don’t quite need the power of a Linux controller, the EdgeBox-ESP-100 industrial edge controller based on an ESP32-S3 dual-core WiFi and Bluetooth microcontroller and offering a similar set of features, albeit with twists, may be an interesting option. EdgeBox-ESP-100 specifications: Microcontroller – Espressif Systems ESP32-S3 dual-core Tensilica LX7 microcontroller @ 240 MHz with AI vector instructions, 512KB RAM Memory – 8MB PSRAM Storage – 16MB Flash Network connectivity 10/100M Ethernet RJ45 port 2.4 GHz WiFi 4 and Bluetooth 5.0 LE via ESP32-S3 4G LTE cellular via SIMCom A7670G LTE Cat 1 module Optional support for LoRa (replaces the A7670G module) Serial & I/Os via terminal blocks […]

December 20, 2022

T-Camera S3 – An ESP32-S3 board with camera, display, PIR motion sensor, and microphone

LilyGO has launched a new ESP32-S3 WiFi & BLE camera board with the T-Camera S3 also featuring a small display, a PIR motion sensor, and a microphone, as well as an optional plastic shell. The T-Camera S3 is an evolution of the TTGO T-Camera ESP32 board introduced in 2019 with many of the same features, but the ESP32 microcontroller has been replaced with an ESP32-S3 microcontroller with vector extensions that makes it suitable for machine learning and computer vision applications. The new board also comes with a larger 16 MB SPI flash, more I/Os, and a few other small changes. T-Camera S3 specifications: ESP32-S3-WROOM-1 wireless module SoC – ESP32-S3FN16R8 dual-core Tensilica LX7 microcontroller @ 240 MHz (Note: this SKU is not listed in the official ESP32-S3 datasheet) with 2.4 GHz 802.11n WiFI 4 and Bluetooth 5.0 LE connectivity Memory – 8MB PSRAM Storage – 16MB SPI flash Camera – 2MP […]

Rockchip RK3568, RK3588 and Intel x86 SBCs and SoMs in 2025

December 9, 2022December 9, 2022

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

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 […]

December 7, 2022

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

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 […]