AnalogLamb is an online shop established in 2016, specializing in open-source hardware and innovation electronics. AnalogLamb’s Maple Eye ESP32-S3 is a Wi-Fi-and-Bluetooth AI dev board based on Espressif’s ESP32-S3 dual-core Xtensa LX7 microcontroller and ESP-WHO, Espressif’s AI development framework.

ESP32-S3 is capable of running at 240 MHz. Apart from its 512 KB of internal SRAM, it also comes with integrated 2.4 GHz, 802.11 b/g/n Wi-Fi and Bluetooth 5 (LE) connectivity that provides long-range support. It has 45 programmable GPIOs and supports a rich set of peripherals. ESP32-S3 supports larger, high-speed octal SPI flash, and PSRAM with configurable data and instruction cache.

ESP-WHO is Espressif’s face detection and recognition development framework designed for AIoT applications. You can use it with Espressif’s own ESP-EYE development board, the Amazon FreeRTOS-qualified ESP-WROVER-KIT or other ESP32-based development boards. Then, by adding only a few peripherals, such as cameras and screens, you can easily create complete AIoT solutions, which explains how the Maple Eye ESP32-S3 came about.

Maple Eye ESP32-S3, then, features a 2-Megapixel camera, two LCDs, and a microphone, which are used for image recognition and audio processing. Maple Eye ESP32-S3 (pictured below) offers plenty of storage with an 8 MB Octal PSRAM and an 8 MB flash. It also supports image transmission over Wi-Fi, and debugging through a micro-USB port.

Maple Eye ESP32-S3

Maple Eye ESP32-S3 Specifications

• Compatible with Espressif ESP32-S3-EYE
• ESP32-S3 Module with 8 MB PSRAM & Flash
• SoC supports acceleration for neural network computing
• OV2640 camera with 2 Megapixels
• Two 3.3 cm TFT LCD displays on the front and back. Select which one to use with a switch
• Digital microphone for VAD & ASR
• 3-Axis Accelerometer
• Micro SD Card interface
• Battery connector & charger IC
• 4 x buttons

ESP32-S3-Eye Block Diagram

Software Development

• • ESP-WHO
  • ESP-RS

Documentation

• • Getting Started with ESP32-S3-EYE v2.2