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. This makes it a powerful tool for AI application

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 – 5MP OV5640 H626 normal lens
• Display – 0.96″ 128×64 OLED display connected via SSD1306 I2C display controller
• Audio – Microphone
• USB – 1x USB Type-C port for power and programming
• Sensors
  • AS312 PIR motion sensor
• Expansion
  • 5-pin connector with IO16, IO15, 5V,3.3V, and GND
  • 5-pin header with 3x GPIO, 3.3V, and GND
  • 6-pin header with UART (Tx, Rx), and 4x GPIO.
• Misc – Reset button (under the camera) , Power and boot buttons
• Power Supply
  • 5V via USB Type-C port
  • Support for LiPo battery via 2-pin header and AXP210 charging chip
• Dimensions
• Board only: 69 x 28 x 18.5 mm (including PIR dome)
• Shell only: 75 x 35 x 12 mm

Package include:

• T-Camera-S3 
• 2mm 5 pin to jumper wire(20cm)
• JST 2,0mm 20 cable
• 2.54 male pin header(5pin)
• 2.54 male pin header(6pin)
• Plastic CASE with bolts

Documentation

• GitHub Repository: https://github.com/Xinyuan-LilyGO/LilyGo-Cam-ESP32S3
• On Arduino IDE select: ESP32S3 Dev Module