It features an integrated 2MP OV2640 camera, a microSD card slot for image and video storage, and a USB Type-C interface for easy programming and power. The board also supports AI acceleration instructions and TensorFlow Lite Micro, making it perfect for computer vision, image classification, motion detection, and streaming applications.

With GPIOs for sensor or peripheral expansion, the Freenove ESP32-S3 CAM board is ideal for developers building smart security cameras, IoT vision systems, face recognition devices, and edge AI prototypes.

Key Features:

• Microcontroller: ESP32-S3, Dual-core Xtensa LX7 @ 240MHz

• Wireless Connectivity:

  • Wi-Fi 802.11 b/g/n

  • Bluetooth 5.0 (LE)

• Camera: OV2640 2MP camera module (included)

• Memory: 8MB PSRAM, 16MB Flash

• Storage: MicroSD card slot

• USB Interface: USB Type-C (power + programming)

• AI Support: TensorFlow Lite Micro and ESP-DL compatible

• GPIO: Multiple pins exposed for sensors and external modules

• Power Supply: 5V via USB-C or external 5V input

• Operating Voltage: 3.3V logic level

• Size: Compact PCB layout suitable for embedded projects

Applications:

• Smart security and surveillance systems

• AI vision and image recognition

• IoT camera streaming and monitoring

• Robotics and automation

• Smart doorbell or visual access control systems

• Edge AI and TensorFlow Lite applications

It comes with built-in microSD card support for image/video storage, GPIO pins for peripherals, and compatibility with Arduino IDE, ESP-IDF, and MicroPython. This module is ideal for DIY smart CCTV cameras, wireless security systems, face detection, object tracking, smart doorbells, robotics vision, and IoT telemetry.