# ESP32-CAM development board, Wi‑Fi, Bluetooth, OV5640 5MP

- Page: https://sigmanortec.ro/en/esp32-cam-development-board-wifi-bluetooth-ov3660-3mp
- Price: 81.97 RON
- Availability: In stock; 1-2 zile
- Reference: 9087 · EAN: 5948362424223
- Category: Mechatronics and IoT > Development Board > Boards with Display and Camera
- Package (shipping data): 0.009 kg
- Updated: 2026-10-19
- Shop: [Sigmanortec.ro](https://sigmanortec.ro/en/llms.txt)
- Prices: RON, VAT included; prices and stock as of 2026-10-22 05:45 (Europe/Bucharest)

## Description

Compact solution for computer vision projects, video streaming and IoT, with WiFi 802.11b/g/n and Bluetooth 4.2 LE connectivity for wireless applications. It integrates a dual-core processor up to 240MHz and 4MB PSRAM for fast image processing, a 5MP OV5640 camera for detailed frames, TF card support and JPEG, BMP, grayscale formats, compatible with Arduino IDE for rapid development.
The ESP32-CAM development board is a compact module that combines an ESP32 WiFi and Bluetooth processor with a 5MP OV5640 camera attached via an FPC connector, providing a complete solution for image capture and transmission in artificial vision, video streaming, and IoT projects. The board can operate independently, sending images and video streams over WiFi, or it can be programmed to respond to commands received via UART, making it suitable for surveillance, object recognition, remote monitoring, and automated photography projects.
The processor is a dual-core 32-bit ESP32 LX6, with operating frequencies between 80 and 240 MHz and computing power of up to 600 DMIPS. The internal 520 KB SRAM memory is complemented by 4 MB of external PSRAM, required for processing high-resolution images before compression and transmission. The OV5640 camera offers a maximum resolution of 2592 x 1944 pixels (5 MP) and is connected via a flex cable to a 24-pin FPC connector, the same type of connector used for the older OV2640 camera version.
Among the main features are the FPC camera connector, the microSD card slot of up to 4 GB, a white LED used as a flash, a PCB antenna printed on the board, two rows of pins (16 in total) that expose power, free GPIOs and the UART interface, and a RESET button. Power is supplied at 5 VDC on the 5V pin, with a stable source of at least 2A recommended; the board can also be powered at 3.3 VDC through the 3V3 pin.
Through the UART interface (U0T and U0R pins), the board can be programmed and tested using a USB-to-serial adapter from a computer, and after connecting to the network, images and video streams can be accessed directly from a browser on any computer or phone on the local network. The remaining free GPIO pins also allow connection of additional sensors or modules compatible with Arduino, ESP32, STM32, or Raspberry Pi, using the board's 3.3V logic level.
WARNING
Camera OV5640 (current batch)
This module is supplied with an OV5640 (5MP) camera instead of the OV2640. The sensor heats up significantly during operation and may become hot to the touch. This is normal behavior for this board-camera combination, not a defect.
Mandatory operating conditions:
Heatsink mounted on the back of the camera, with thermal tape or pad.
Good ventilation; do not use the module in closed enclosures without air circulation.
Stable 5V power supply, minimum 2A, on the 5V pin. Do not power the module from the USB-serial adapter on 3.3V.
Recommendations:
In Arduino IDE, select the “AI Thinker ESP32-CAM” board and use the CameraWebServer example.
Use JPEG format. For continuous streaming, choose a reduced resolution (SVGA or HD); use maximum resolution only for photos.
For periodic captures, turn off the sensor between shots (GPIO32 set HIGH).
On the autofocus version, automatic focusing requires 3.3V on pin 24 of the camera connector and a dedicated library. Without these, the camera works with fixed focus.
The module is not recommended for 24/7 continuous streaming. If you need the OV2640 version, contact us before placing the order.
Specifications:
Supply voltage: 5 VDC (5V pin)
Current consumption: 180 mA (Flash LED off) / 310 mA (Flash LED on, maximum brightness)
Deep-sleep current consumption: 6 mA minimum
Modem-sleep current consumption: 20 mA minimum
Light-sleep current consumption: 6.7 mA minimum
Number of pins: 16
WiFi: 802.11 b/g/n
Bluetooth: 4.2 LE
CPU: Dual core LX6, 32-bit
CPU frequency: 80 - 240 MHz
Internal memory: 520 KB SRAM
External memory: 4 MB PSRAM
Supported interfaces: UART, SPI, I2C, PWM, ADC, DAC
Included camera: OV5640, 5 MP, maximum resolution 2592 x 1944 pixels
Image formats: JPEG, BMP, grayscale
Memory card: microSD (TF), up to 4 GB
Low-power modes: Deep-sleep, Modem-sleep, Light-sleep
Integrated software stack: LwIP, FreeRTOS
Network operating modes: STA / AP / STA+AP
Smart Config / AirKiss: Yes
FOTA update: Yes
SPI Flash memory: 32 Mbit
Camera connector: FPC, 24 pins
Programmer included: No, requires an external adapter (FT232 or equivalent recommended)
Dimensions: 42 x 27 x 12 mm
Layout:
Element
Function
ESP32-S module with PCB antenna
The dual-core ESP32 processor and the WiFi/Bluetooth antenna printed on the board.
White LED
Used as a camera flash, controlled by GPIO4.
FPC camera connector
24-pin connector to which the OV5640 camera flex cable is attached.
OV5640 camera
5 MP camera module, mounted separately from the board and connected via flex cable.
microSD (TF) card slot
Local storage for images and files, cards up to 4 GB.
Two rows of pins (dual header)
Expose power, free GPIOs and the UART interface, 16 pins in total.
RESET button
Resets the ESP32 microcontroller, also used when uploading the program.
Voltage regulator
Converts the 5V supply into the 3.3V voltage required by the board circuits.
Mounting holes
Two holes between the rows of pins, for securing the board.
Pinout:
Connector
Pin
Function
5V header
5V
Board power supply, 5 VDC
5V header
GND
Ground
5V header
IO12
GPIO12, also used as MicroSD DATA2
5V header
IO13
GPIO13, also used as MicroSD DATA3
5V header
IO15
GPIO15, also used as MicroSD CMD
5V header
IO14
GPIO14, also used as MicroSD CLK
5V header
IO2
GPIO2, also used as MicroSD DATA0
5V header
IO4
GPIO4, also used as MicroSD DATA1, controls the flash LED
3V3 header
3V3
Board power supply, 3.3 VDC
3V3 header
IO16
GPIO16, free line, can be UART2 RX
3V3 header
IO0
GPIO0, selects the boot mode, connected to GND for program upload
3V3 header
GND
Ground
3V3 header
VCC
3.3V or 5V output, do not power the board through this pin
3V3 header
U0R (IO3)
UART RX, serial data reception
3V3 header
U0T (IO1)
UART TX, serial data transmission
3V3 header
GND
Ground
Camera signal (FPC)
ESP32 GPIO
Function
D0
GPIO5
Camera data line (Y2)
D1
GPIO18
Camera data line (Y3)
D2
GPIO19
Camera data line (Y4)
D3
GPIO21
Camera data line (Y5)
D4
GPIO36
Camera data line (Y6)
D5
GPIO39
Camera data line (Y7)
D6
GPIO34
Camera data line (Y8)
D7
GPIO35
Camera data line (Y9)
XCLK
GPIO0
Input clock for the camera sensor
PCLK
GPIO22
Pixel output clock
VSYNC
GPIO25
Vertical frame synchronization
HREF
GPIO23
Horizontal line synchronization
SIOD (SDA)
GPIO26
I2C/SCCB, sensor configuration
SIOC (SCL)
GPIO27
I2C/SCCB, sensor configuration
PWDN
GPIO32
Sensor power-down, HIGH to turn off between captures
Use:
If the camera module is not already mounted, attach it to the board's FPC connector, respecting the contact orientation, and close the connector locking latch.
Mount a small heatsink, with thermal tape or pad, on the back of the OV5640 camera before first use, because the sensor heats up significantly during operation and may become hot to the touch; this is normal behavior for this board-camera combination.
Ensure good ventilation around the module and do not use it in a closed enclosure without air circulation.
Power the board with 5 VDC, minimum 2A, on the 5V pin, using a stable supply, and do not power the module from the 3.3V output of a USB-serial adapter.
For programming, connect an FT232 or equivalent adapter to the U0R, U0T, and GND pins, with the adapter voltage jumper set to 5V, connecting the adapter TXD to U0R and the adapter RXD to U0T.
In Arduino IDE, install the esp32 board package by Espressif Systems from the Boards Manager, select the AI Thinker ESP32-CAM board, and open the CameraWebServer example from the File - Examples menu.
In the code, select the line #define CAMERA_MODEL_AI_THINKER and enter the WiFi network name and password.