ESP32-S3-CAM Development Board with OV3660 Camera, ESP32-S3-WROOM N16R8 Module with Dual Type-C Interface Support Wi-Fi and Bluetooth MCU Microcontroller for IoT, DIY Projects and AI Project

ESP32-S3-CAM Development Board with OV3660 Camera, ESP32-S3-WROOM N16R8 Module with Dual Type-C Interface Support Wi-Fi and Bluetooth MCU Microcontroller for IoT, DIY Projects and AI Project

약 22,513원
$15.39 환율 $1 = ₩1,463
아마존에서 확인·구매
해외직접배송 · 관세·배송비 별도 미국 낙타 가격이력
역대 최저
약 22,513원
$15.39
2026-07-18
역대 최고
약 22,513원
$15.39
2026-07-18
평균가
약 22,513원
$15.39

달러 가격을 현재 환율 $1 = ₩1,463 (2026-07-26 기준)로 환산한 원화입니다.

가격 변동 그래프

아마존 달러(USD) 가격을 각 날짜의 환율로 원화 환산해 표시합니다. 현재 환율 $1 = ₩1,463 (2026-07-26 기준)

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쿠팡에서 "ESP32-S3-CAM Development Board OV3660 Camera" 검색

이 포스팅은 쿠팡 파트너스 활동의 일환으로, 이에 따른 일정액의 수수료를 제공받습니다.

상품 특징

  • Dual-core processor: The ESP32 module is based on the powerful ESP32-S3-WROOM N16R8 module and is equipped with a dual-core 32-bit LX7 processor. Its excellent AI computing performance, real-time processing capabilities, and low power consumption make it ideal for image recognition, edge AI, and complex IoT applications
  • Integrated 2-megapixel OV3660 camera: Built-in OV3660 camera to capture clear images and stream video in real time. Perfect for smart surveillance, face recognition, and AI-based computer vision projects. It is the preferred solution for DIY makers and professionals to build camera-enabled IoT systems
  • Dual Type-C ports for OTG and serial debugging: Designed with two USB Type-C interfaces - one supports USB OTG for host/device functions, and the other provides TTL serial for easy programming and debugging
  • Shared antenna: Supports IEEE 802.11b/g/n Wi-Fi (2.4GHz) and Bluetooth 5 (LE and Mesh), using shared antennas to optimize wireless performance. Enhanced 2 Mbps PHY and long-distance communication (Coded PHY) ensure stable multitasking in harsh environments
  • Multi-scenario applications: The ESP32 S3 development board maintains high stability even at high temperatures, making it ideal for industrial environments, educational purposes, and AI-driven projects. It is a versatile choice for robots, smart devices, and machine vision in lab or field applications