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First try CameraWebServer on Seeed Studio XIAO ESP32S3 Sense + ov5640 Camera (Auto-Focusing) , in Arduino framework. Make sure  ESP32 (Arduino-ESP32) is installed to your Arduino IDE , 3.0.2 is installed in this video. Select board of esp32 > XIAO ESP32S3 Open Examples for XIAO_ESP32S3 > ESP32 > Camera > CameraWebServer un-comment the line: #define CAMERA_MODEL_XIAO_ESP32S3 and comment all other CAMERA_MODEL. Edit ssid and password to match with your WiFi network. optionally, you can compare with Seeed Studio XIAO ESP32S3 Sense Schematic . To check the supported camera sensor: Right click on any _PID (OV3660_PID here) in the code, click on Go to Definition. You can add code to check the attached camera sensor at runtime. CameraWebServer.ino #include "esp_camera.h" #include <WiFi.h> // // WARNING!!! PSRAM IC required for UXGA resolution and high JPEG quality // Ensure ESP32 Wrover Module or other board ...

Seeed Studio XIAO ESP32S3 Sense (with ov2640) Seeed Studio XIAO ov5640 Camera (Auto-Focusing) Pinout: Related Links: ~  Getting Started with Seeed Studio XIAO ESP32S3 (Sense) ~  Installation of expansion boards and camera sensor ~  DroneBot Workshop for Seeeduino XIAO ESP32S3 Sense Board – A Tiny ESP32 Camera ~  TinyML Case Studies ~  Camera Usage in Seeed Studio XIAO ESP32S3 Sense Related post: ~  First try CameraWebServer on Seeed Studio XIAO ESP32S3 Sense + ov5640 Camera (Auto-Focusing), in Arduino framework . ~  Seeed Studio XIAO ESP32S3 Sense display on 2.4" TFT 240×320 ST7789V using Adafruit_ST7789 lib in Arduino framework . ~  Adafruit_GFX/ImageReader exercises to load bmp images from MicroSD and display on 240×320 ST7789 SPI TFT, run on Seeed Studio XIAO ESP32S3 Sense (Arduino Platform) . ~  Seeed Studio XIAO ESP32S3 Sense/CircuitPython display on 1.28" 240x240 GC9A01 Round IPS LCD ~ ...

Run on Raspberry Pi Pico/CircuitPython 7.3.3 , capture images from ov2640 cam module (without MCLK) , display on ST7789 TFT. Develop on Raspberry Pi OS. Prepare Libraries: Visit https://circuitpython.org/libraries , download and extract library bundle match with your CircuitPython version. Libraries need: adafruit_st7789 and adafruit_ov2640, copy to CircuitPython device's /lib folder. Connection:      ST7789 SPI      +-------------- 3V3 | BLK GP1 | CS GP0 | DC GP4 | RES GP3 | SDA GP2 | SCL 3V3 | VCC GND | GND      +--------------      ov2640 (Red board without MCLK)      +-------------+ 3V3    | 3V3      GND | GND GP5 | VSYNC    SCL | GP17 * GP6 | HREF SDA | GP16 * GP7 | RST D0 | GP8 GP9 | D1      D2 | GP10 GP11 | D3      D4 | GP12 GP13 | D5      D6 | GP1...

ov7670:   ov2640: ov2640: Red board, without MCLK pin. remark: This ov2640 module have built-in 12M X'tal, so no MCLK pin in the header. Exercise: ~  ov2640 (Red board without MCLK) on Raspberry Pi Pico/CircuitPython (7 & 8 Beta)