ESP32 CAM OV2640 Camera WiFi Wireless Module

Original price was: KSh1,600.00.Current price is: KSh1,500.00.

Compact ESP32-CAM OV2640 WiFi Camera Module with built-in ESP32 dual-core MCU, 2 MP OV2640 sensor, and microSD card slot. Perfect for IoT camera, face recognition, and wireless video streaming projects using Arduino or ESP-IDF.

💰 Price in Kenya: KSh 1500

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Description

Product Description

The ESP32-CAM OV2640 Module is a compact and cost-effective WiFi-enabled camera development board based on the ESP32-S chip. It integrates a powerful dual-core processor, OV2640 2MP camera, and microSD card slot, enabling real-time image capture, video streaming, and wireless transmission over WiFi or Bluetooth®.

This versatile module is ideal for IoT security systems, remote monitoring, facial recognition, and image-based automation. It can be programmed easily using the Arduino IDE, ESP-IDF, or MicroPython, and supports integration with cloud-based or local IoT servers.

With its low power consumption, built-in antenna, and strong wireless performance, the ESP32-CAM is perfect for developers building smart camera solutions, DIY surveillance systems, and AI-enabled edge devices.


Key Features

  • Model: ESP32-CAM with OV2640 Camera

  • Microcontroller: ESP32-S (dual-core 32-bit LX6 processor)

  • Clock Frequency: Up to 240 MHz

  • Camera Sensor: OV2640 2MP (1600×1200 resolution)

  • Connectivity:

    • Wi-Fi: 802.11 b/g/n (2.4 GHz)

    • Bluetooth®: BLE + Classic Bluetooth

  • Flash Memory: 4 MB

  • SRAM: 520 KB

  • Storage: microSD card slot (up to 4 GB)

  • GPIO Pins: 9 (multi-function I/O)

  • Operating Voltage: 5 V DC (via 5 V pin)

  • Logic Level: 3.3 V

  • Interfaces: UART, SPI, I2C, PWM

  • Image Formats: JPEG / BMP

  • Antenna: On-board PCB + U.FL external antenna connector

  • Dimensions: 27 mm × 40.5 mm × 4.5 mm

  • Programming: Arduino IDE, ESP-IDF, MicroPython

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Advantages

  • Integrated 2 MP camera for photo and video streaming.

  • Dual-core WiFi + Bluetooth® microcontroller.

  • On-board microSD card slot for image storage.

  • Compact, low-power design ideal for embedded systems.

  • Supports face detection and object recognition through ESP-IDF AI libraries.

  • Compatible with Arduino IDE and open-source camera libraries.


Applications

  • Wireless IP cameras and smart surveillance

  • IoT image capture and monitoring

  • Face and object detection projects

  • Smart doorbells and vision-based automation

  • Remote security and baby monitoring systems

  • Robotics and environmental monitoring

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