ESP32-S3-CAM using ESP32-S3-WROOM-1 development board 40pins with N16R8 CP2102 Chip 2×Type-C interface

SKU: FA1053-0-1-12
Module

ESP32-S3-WROOM-1 (N16R8)
Processor

Dual-core 32-bit Xtensa® LX7, up to 240 MHz
Flash / PSRAM

16MB Flash / 8MB PSRAM
Wireless

Wi-Fi (2.4 GHz) + BT 5.0 / BLE / Mesh
USB Interface

Dual Type-C (USB-to-Serial + Native USB OTG)
Serial Chip

Silicon Labs CP2102
Camera Support

Dedicated DVP header (Supports OV2640, OV5640, etc.)
I/O Pins

40-pin header with up to 45 programmable GPIOs
Operating Temp

-40°C to +65°C
This high-performance ESP32-S3-CAM development board features the ESP32-S3-WROOM-1 (N16R8) module, optimized for advanced AIoT and vision applications. It is uniquely configured with dual Type-C interfaces and a CP2102 serial chip for stable, high-speed professional development.
Product Description
The ESP32-S3-CAM N16R8 is a flagship-tier development platform combining a dual-core Xtensa® LX7 processor with massive memory (16MB Flash / 8MB PSRAM). Designed specifically for “Edge AI,” it features integrated vector instructions that accelerate neural network computing and signal processing.
Unlike entry-level boards, this model includes dual Type-C ports: one dedicated to the CP2102 USB-to-UART bridge for reliable debugging, and a second connected to the native USB OTG interface for peripheral emulation (e.g., keyboard, mouse, or disk drive). The 40-pin layout provides extensive GPIO access for sensors and actuators.
Key Features
  • Massive Storage (N16R8): 16MB SPI Flash and 8MB Octal PSRAM allow for high-resolution video streaming and complex AI model deployment.
  • Dual Type-C Interfaces: Supports simultaneous programming/debugging and USB OTG functionality.
  • AI Acceleration: Dedicated hardware support for neural networks, enabling on-device face detection and voice recognition.
  • Superior Connectivity: Wi-Fi (802.11 b/g/n) and Bluetooth 5.0 (LE) with mesh support for reliable IoT networking.
  • Independent LCD-CAM Interface: Dedicated hardware for camera and display peripherals, supporting higher clock frequencies (up to 40MHz) than previous ESP32 generations.
Usage Scenarios
  • Single Users/Makers: Ideal for DIY smart home cameras, time-lapse photography, and exploring machine learning with MicroPython or Arduino.
  • Business/Commercial: Used for rapid prototyping of industrial gateways, smart retail kiosks with face detection, and voice-controlled smart appliances.
  • Advanced AIoT: Suitable for edge computing nodes that require high memory for data encryption and local AI processing.
Q: Why are there two Type-C ports?

The UART port (connected to the CP2102) is used for standard programming and serial debugging. The USB port (Native OTG) allows the ESP32-S3 to act as a USB device (like a webcam or HID) or a USB host.

Q: Does this board include the camera module?

Typically, the board features a camera header. Check your specific package to see if an OV2640 or OV5640 lens is included.

Q: How do I utilize the 8MB PSRAM in my code?

In the Arduino IDE, you must select the “ESP32S3 Dev Module” and set “PSRAM” to “OPI PSRAM” in the Tools menu.

Q: Can this board run AI models?

Yes. The ESP32-S3 features specialized vector instructions designed to accelerate neural network computations, making it much faster than the standard ESP32 for AI tasks.

Q: Is it 5V or 3.3V?

The board is powered by 5V via either Type-C port. However, all GPIO pins use 3.3V logic; connecting 5V sensors directly to these pins will damage the board.

Q: Is it compatible with standard DevKitC pinouts?
The board is designed to be compatible with the pinout of the official ESP32-S3-DevKitC-1, allowing you to use existing expansion shields and breadboard designs.

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