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ESPBoards

AI Thinker ESP32-CAM Development Board Pinout and Technical Specifications

Code name: ESP32_DEV

AI Thinker ESP32-CAM development board is based on esp32 microcontroller and uses xtensa architecture. This development board has a maximum CPU frequency of 0 MHz and a flash size of 4MB.


Features

  • 40 digital IO pins
  • 16 external interrupt pins
  • 16 analog input pins
  • 19 PWM pins

Connectivity

  • WiFi: 802.11 b/g/n (2.4 GHz)
  • Bluetooth: 4.2
  • WiFi: 4.2

Technical specs

Clock Speed0 MHz
Flash size4MB
Microcontrolleresp32
Architecturextensa

AI Thinker ESP32-CAM Pins Mapping Arduino IDE

Below you can find the AI Thinker ESP32-CAM pinout. This development board provides 40 digital IO pins, out of which 16 can be used as an external interrupt pins , 16 as analog input pins and 19 pins have Pulse-Width Modulation (PWM) .

PinAnalogTouchPWMOther
0A11T1
1PWMTX
2A12T2PWM
3PWMRX
4A10T0PWM
5PWMSS
12A15T5PWM
13A14T4PWM
14A16T6PWM
15A13T3PWM
18PWMSCK
19PWMMISO
21PWMSDA
22PWMSCL
23PWMMOSI
25A18PWMDAC1
26A19PWMDAC2
27A17T7PWM
32A4T9PWM
33A5T8PWM
34A6
35A7
36A0
39A3
Analog - Analog input pins
Touch - Touch pins
Function - Function pins
RX / TX - Receive (RX) / Transmit (TX)
LED_BUILTIN - Built-in LED
PWM - Pulse-Width Modulation

Default Tools

Bootloader toolesptool_py
Uploader toolesptool_py
Network uploader toolesp_ota
Bootloader address0x1000
Flash mode
Boot mode
PSRAM type
Maximum upload size
3072 Kb
(3145728 B)
Maximum data size
320 Kb
(327680 B)

The AI Thinker ESP32-CAM development board by default uses esptool_py uploader tool, esp_ota network uploader tool for Over-the-air (OTA) uploads and esptool_py bootloader tool. The bootloader starts at address "0x1000". Flash mode and boot mode for AI Thinker ESP32-CAM development board by default is and respectively. When using Arduino IDE, the maximum sketch upload size is 3072 Kb (3145728 B) and maximum data size for variables is 320 Kb (327680 B).