Arducam 2MP OV2640M DVP ESP32-S3 Camera Evaluation Kit with Wi-Fi & Bluetooth

Overview

ESP32 S3 Parameters:
Core:
Xtensa® dual-core 32-bit LX7 CPU，frequency up to 240MHz
Memories：
384 KB of ROM
512 KB of SRAM
16 KB of RTCSRAM
8 MB of PSRAM
Working Voltage: 3V to 3.6 V
Up to 45 GPIOs
2*12-bit ADC（up to 20 cahnnels）Communication interfaces：
2 I2C interfaces
2 I2S interfaces
4 SPl interfaces
3 UART interfaces
1 USB OTG interfaces
Security:
4096 bit OTP
AES、SHA、RSA、 ECC、RNG
Secure Boot, Flash Encryption, Digital Signature, HMAC module

The Arducam 2MP OV2640 Mega DVP ESP32-S3 Evaluation Kit is an all-in-one development solution built for smart home automation, industrial sensing, and battery-operated visual AI applications.
By integrating the ESP32-S3-WROOM module with the low-power 2MP OV2640 Mega DVP camera, this kit overcomes the traditional memory and throughput limitations of microcontroller-based vision. The camera's built-in frame buffer and JPEG encoder handle the heavy image capture workload, while the ESP32-S3's hardware vector processing handles Wi-Fi streaming, Bluetooth mesh networking, or light TinyML models (like visual wake words and object presence) effortlessly.
Whether you are building a smart doorbell, an off-grid environmental sensor, or a remote inspection node, this evaluation kit accelerates your journey from concept to deployment.

Applications

• Battery & Solar-Powered Wireless Cameras: Wildlife monitoring, remote agricultural sensors, and off-grid security systems.
• Smart Home & Appliance Automation: Wireless visual doorbells, occupancy detection, utility meter readers, and smart fridge monitoring.
• TinyML & Edge AI Prototyping: Person detection, visual wake words, gesture control, and light object classification using ESP-WHO and TensorFlow Lite for Microcontrollers.
• Industrial & Facility Monitoring: Machine status inspection, automated gauge/dial reading, and inventory tracking.
• Wireless Video Streaming Nodes: Low-latency JPEG web servers, RTSP video streaming, and MQTT cloud snapshot uploading.

Features

• Powerful Dual-Core ESP32-S3 MCU: Driven by an Xtensa 32-bit LX7 dual-core processor with native AI vector instructions, enabling efficient local gesture, face, and motion recognition.
• Low-Power 2MP OV2640M Mega DVP Camera: Features hardware-level JPEG compression and an on-board frame buffer, offloading processing tasks from the MCU and extending battery life in remote IoT deployments.
• Seamless Wireless Connectivity: Built-in 2.4 GHz Wi-Fi (802.11 b/g/n) and Bluetooth 5 (LE) with an on-board PCB antenna for reliable real-time image transmission and remote cloud logging.
• Optimized DVP Interface Setup: Pre-configured hardware interface design eliminates wiring hassles and signal integrity issues between the ESP32-S3 host and the camera module.
• Rich Peripheral & Expansion Ecosystem: Includes onboard USB Type-C for flashing/debugging, MicroSD card slot for local storage, and exposed GPIOs for external sensor integration.

Specifications

Package Including

• 1 x Arducam ESP32 S3 Wroom 1 Camera Evaluation Kit
• 1 x USB2.0 Cable (1m/3.3ft)

Documentation

• Quick Start Guide - ESP32 S3 Camera Evaluation Kit

Note

• Power Optimization: For deep-sleep battery setups, utilize the ESP32-S3 timer or external GPIO wake-up interrupts to power down both the MCU and camera when idle.
• Wi-Fi Streaming Performance: Selecting JPEG compression format in UXGA or SVGA resolutions significantly reduces memory usage and speeds up Wi-Fi packet transmission compared to uncompressed RGB/YUV formats.
• SDK & Example Code: Complete firmware examples, including Web Server streaming, SD card snapshot logging, and MQTT image uploading, are available on the official Arducam GitHub repository.