History

Yoann Couble d630f9715d Exposed denoise and sharpness parameters, which are already available in the http IHM but return a 500, and available in the sensor API		2020-12-10 09:13:35 +01:00
..
main	Exposed denoise and sharpness parameters, which are already available in the http IHM but return a 500, and available in the sensor API	2020-12-10 09:13:35 +01:00
CMakeLists.txt	add cmake	2019-04-01 20:23:29 +08:00
Makefile	Add Camera Web Server Example	2018-11-29 11:23:06 +01:00
README.md	update formating	2020-09-03 20:00:48 -06:00
partitions.csv	bb800f9a update esp-face add frmn models	2019-06-19 14:26:58 +08:00
sdkconfig.defaults	feature/detection_cat_face	2020-08-13 20:42:05 +08:00

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.

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

Connect the camera to ESP32 module. For connection pins, please see here
Configure the example through idf.py menuconfig;
Build And Flash the application to ESP32;
Open Your Browser and point it to http://[ip-of-esp32]/;
To Get Image press Get Still or Start Stream;
Use The Options to enable/disable Face Detection, Face Recognition and more;
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.