ESP32-S3 WROOM CAM N16R8 Development Board with Dual Type-C and Camera Module

The ESP32-S3 WROOM CAM N16R8 Development Board with Dual Type-C and RHYX M21-45 Camera Module runs on dual core processor with AI acceleration instructions built into the instruction set – that hardware support speeds up neural network inference operations compared to running the same workload on a standard Cortex-M class processor at equivalent clock speed. The ESP32-S3 WROOM CAM N16R8 that processing capability with 16MB of flash in the N16 configuration and 8MB of Octal PSRAM in the R8 configuration.

The PSRAM is the critical differentiator for camera builds – image frames from a camera module require frame buffer storage that standard on-chip SRAM cannot provide.  The 8MB PSRAM holds full JPEG frame buffers and intermediate processing data without competing with the application stack for memory.The esp32 s3 wroom cam n16r8 board includes a camera module and ships with two 20-pin male header strips, making the development board ready for breadboard connection without sourcing additional headers separately.

Dual USB Type-C ports serve different functions – one connects to a UART bridge for Arduino IDE flashing and serial monitoring, while the second provides Native USB/OTG capability for HID device and USB host.  The esp32-s3 wroom n16r8 cam module 3.3V logic level applies to all GPIO, I2C, SPI, and UART pins. Connecting 5V signals to these pins without level shifting risks GPIO damage, which is a common error when pairing this board with 5V Arduino peripheral modules.The n16r8 module suits TinyML image classification, video streaming, and face detection builds. This ESP32-S3 WROOM CAM Development board is available on StemVolt, and its working on ESP32-S3 camera and edge AI electronics projects.

Related Product:

• Checkout ESP32 CAM Board with OV2640 Camera Module

Features:

• 8MB Octal PSRAM stores full camera frame buffers for image capture builds
• 16MB N16 flash accommodates large firmware, OTA partitions, and file systems
• Dual Type-C ports handle UART programming and Native USB OTG simultaneously
• Camera module included removes separate camera sourcing from the project
• AI acceleration speeds TinyML inference beyond standard Cortex-M performance

Technical Specifications:

Applications:

• ESP32-S3 WROOM CAM N16R8 runs face detection TinyML model using onboard camera and PSRAM.
• N16R8 CAM development board streams MJPEG video over WiFi to browser dashboard
• S3 WROOM captures time-lapse frames and stores JPEG images to flash file system
• Dual USB port HID keyboard and custom USB peripheral device projects
• ESP32 wroom cam module suits multi-unit wildlife monitoring camera trap deployment

Package Includes:

• 1 x ESP32-S3 WROOM CAM N16R8 Development Board