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JarmouniA d9eb3bd63c detection_with_web example update (esp-idf v4.3) 
- Migration from tcpip_adapter API to its successor ESP-NETIF.
- Changes has been tested with ESP-IDF v4.3.1 on an ESP32-CAM (AI-Thinker).
 		2021-10-05 18:10:47 +01:00
..
main detection_with_web example update (esp-idf v4.3) 2021-10-05 18:10:47 +01:00
CMakeLists.txt feature/detection_cat_face 2020-08-13 20:42:05 +08:00
Makefile feature/detection_cat_face 2020-08-13 20:42:05 +08:00
README.md feature/detection_cat_face 2020-08-13 20:42:05 +08:00
partitions.csv feature/detection_cat_face 2020-08-13 20:42:05 +08:00
sdkconfig.defaults feature/detection_cat_face 2020-08-13 20:42:05 +08:00

README.md

Camera with Web Server

Preparation

To run this example, you need the following components:

  • An ESP32 Module: Either ESP32-WROVER-KIT or ESP-EYE, which we highly recommend for beginners, is used in this example.
  • A Camera Module: Either OV2640 or OV3660 or OV5640 image sensor, which we highly recommend for beginners, is used in this example.

Quick Start

After you've completed the hardware settings, please follow the steps below:

  1. Connect the camera to ESP32 module. For connection pins, please see here
  2. Configure the example through idf.py menuconfig;
  3. Build And Flash the application to ESP32;
  4. Open Your Browser and point it to http://[ip-of-esp32]/;
  5. To Get Image press Get Still or Start Stream;
  6. Use The Options to enable/disable Face Detection, Face Recognition and more; t. View The Stream in a player like VLC: Open Network http://[ip-of-esp32]:81/stream;

For more details of the http handler, please refer to esp32-camera.