ESP32 CAM OV2640 Camera WiFi Wireless Module
KSh1,600.00 Original price was: KSh1,600.00.KSh1,500.00Current 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
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
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Model: ESP32-CAM with OV2640 Camera
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Microcontroller: ESP32-S (dual-core 32-bit LX6 processor)
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Clock Frequency: Up to 240 MHz
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Camera Sensor: OV2640 2MP (1600×1200 resolution)
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Connectivity:
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Wi-Fi: 802.11 b/g/n (2.4 GHz)
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Bluetooth®: BLE + Classic Bluetooth
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Flash Memory: 4 MB
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SRAM: 520 KB
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Storage: microSD card slot (up to 4 GB)
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GPIO Pins: 9 (multi-function I/O)
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Operating Voltage: 5 V DC (via 5 V pin)
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Logic Level: 3.3 V
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Interfaces: UART, SPI, I2C, PWM
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Image Formats: JPEG / BMP
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Antenna: On-board PCB + U.FL external antenna connector
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Dimensions: 27 mm × 40.5 mm × 4.5 mm
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Programming: Arduino IDE, ESP-IDF, MicroPython

Advantages
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Integrated 2 MP camera for photo and video streaming.
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Dual-core WiFi + Bluetooth® microcontroller.
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On-board microSD card slot for image storage.
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Compact, low-power design ideal for embedded systems.
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Supports face detection and object recognition through ESP-IDF AI libraries.
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Compatible with Arduino IDE and open-source camera libraries.
Applications
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Wireless IP cameras and smart surveillance
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IoT image capture and monitoring
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Face and object detection projects
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Smart doorbells and vision-based automation
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Remote security and baby monitoring systems
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Robotics and environmental monitoring


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