Features
- 802.11b/g/n Wi-Fi
- Bluetooth 4.2 with BLE
- UART, SPI, I2C and PWM interfaces
- Clock speed up to 160 MHz
- Computing power up to 600 DMIPS
- 520 KB SRAM plus 4 MB PSRAM
- Supports WiFi Image Upload
- Multiple Sleep modes
- Firmware Over the Air (FOTA) upgrades possible
- 9 GPIO ports
- Built-in Flash LED
Specifications
- 2 Megapixel sensor
- Array size UXGA 1622×1200
- Output formats include YUV422, YUV420, RGB565, RGB555 and 8-bit compressed data
- Image transfer rate of 15 to 60 fps
Uploading via Arduino IDE
- Settings
- Board definitions
- https://dl.espressif.com/dl/package_esp32_index.json
- Board: AI Thinker ESP32-Cam
- CPU Frequency: 240MHz
- Flash Frequency: 80MHz
- Flash Mode: QIO
- Board definitions
- Using ESP32-CAM-MB
- Method #1
- Mount ESP32 Cam on ESP32-CAM-MB board
- Ensure USB cable is disconnected
- Press and hold download/upload button on the MB (don’t release until upload is completed)
- Connect USB cable
- Click on the Arduino IDE upload button to start the upload
- When the upload is complete, release the download/upload button on the MB
- Method #2
- Mount ESP32 Cam on ESP32-CAM-MB board
- Connect the USB upload cable to power up
- Press and hold the download/upload button on the MB
- While the MB download/upload button is pressed, press and release the reset button on the ESP32 Cam (not the MB reset button)
- Release the MB download/upload button
- Click on the Arduino IDE upload button to start the upload
- When the upload is complete, press the ESP32 Cam reset button to restart the ESP32.
- Method #1
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