MEMENTO - Python Programmable DIY Camera - Bare Board

The Adafruit MEMENTO Camera Board is a development board designed for creating programmable camera and vision projects. It includes a 5 MegaPixel camera module, a TFT preview screen, buttons, an SD card slot, and is powered by the ESP32-S3, a powerful dual-core processor with 2 MB of PSRAM for buffering high-resolution images. This board is perfect for building camera-based projects, from simple snapshots to more complex vision systems.

Key Features:

• ESP32-S3 Module: 240 MHz dual-core Tensilica processor with WiFi and Bluetooth LE. Includes 8 MB Flash and 2 MB PSRAM, ideal for camera projects.
• OV5640 Camera Module: 5MP camera with auto-focus motor and 72-degree view, built-in JPEG encoder.
• 1.54" 240x240 Color TFT: For previewing images or designing a user interface.
• MicroSD Card Slot: Store photos or animations on any SPI-compatible microSD card.
• Stemma Ports: Two digital/analog JST PH-3 connectors for adding external buttons, LEDs, or sensors, supporting 3V or 5V power.
• I2C Stemma QT Port: Easily connect I2C sensors using the Stemma QT JST SH port with 3.3V power and logic.
• LIS3DH Accelerometer: Triple-axis accelerometer for detecting movement, orientation, or shaking.
• LiPoly Battery Charging Support: Use a 3.7/4.2V 350mAh or 420mAh LiPoly battery for portable use.
• 6 User Buttons: For changing modes, previewing saved images, or playing games like DOOM.
• Buzzer: For alerts or tones, indicating successful photo capture.
• Analog Microphone: Detect loud sounds (not for audio recording).
• Shutter Button: Connected to GPIO 0 for entering bootloader mode.
• Reset Button: To restart or enter bootloader mode.
• On/Off Switch: To cut power when using a battery.
• USB Type C: For programming, CircuitPython REPL access, and battery charging.
• Breakout Pads for UART: For more intense debugging or console connections.
• M3 Standoffs: For easy mounting or enclosure attachment.

This camera board is ideal for DIY projects, and it supports both Arduino and CircuitPython for development. We recommend using CircuitPython for easier setup and faster development, as it significantly reduces compilation time compared to Arduino. Example code for both platforms is available, allowing you to start creating custom camera applications quickly.