LilyGO T-Camera S3 ESP32-S3 OV2640 OLED PIR Mic Dev Board

The board is fully compatible with the Arduino IDE using the ESP32 board manager, Espressif's official ESP-IDF framework for advanced features, and MicroPython for rapid scripting. You'll need to install the appropriate board definitions and libraries for the camera, display, and sensors to begin development. Drivers for the OV2640 and OLED are available in the official LilyGO GitHub repository.

Supply 3.3V DC to the board's designated power pins. The operating current varies significantly based on active components: Wi-Fi transmission and camera streaming can draw 200-300mA, while deep sleep with the PIR sensor as a wake-up source can reduce consumption to microamps. For battery operation, connect a 3.7V LiPo to the appropriate terminals and utilize the ESP32-S3's deep sleep modes to maximize lifespan.

Yes, the board supports an optional OV5640 camera module. You must physically replace the OV2640 module, ensuring the connector alignment is correct. Firmware changes are required as the sensor driver and configuration registers differ. Use the sensor-specific examples from the Arducam or Espressif libraries, adjusting the resolution and frame rate settings in your code to match the OV5640's capabilities.

The PIR sensor output is connected to a configurable GPIO pin; read it as a digital input to detect motion. The microphone's analog audio output is routed to an ADC pin; sample it to capture sound levels or waveforms. Example code in the LilyGO GitHub repo demonstrates reading both sensors. For audio processing, consider using the ESP-ADF (Audio Development Framework) for more advanced features like wake-word detection.