For programming you will need a suitable development environment, I use the Arduino IDE, but this code should work in the Espressif development environment too.Note that I do not respond to any Private Messages (via github, hackaday, or wherever) for support.
If you cannot start the stream you can check the /dump page of the cam to see if it currently reports the camera as streaming or not.This can cause errors when browsers run into Javascript or caching problem, fail to request new frames or refuse to close the connection. The stream itself is a MJPEG stream, which relies on the client (the web browser) to hold the connection open and request each new frame in turn via javascript. If you try to connect to a cam that is already streaming (or attempting to stream) you will get no response and, eventually, a timeout. The AI-THINKER camera module & esp32 combination is quite susceptible to power supply problems affecting both WiFi conctivity and Video quality short cabling and decent power supplies are your friend here also well cooled cases and, if you have the time, decoupling capacitors on the power lines.Ī basic limitation of the sketch is that it can can only support one stream at a time. The majority of disconnects, stutters and other comms problems are simply due to 'WiFi issues'. The ESP32 itself is susceptible to the usual list of WiFi problems, not helped by having small antennas, older designs, congested airwaves and demanding users. There is also this excellent guide for help with some common issues seen with the camera modules:īuilds made with PlatformIO are currently (v4.0) broken the stream will die shortly after starting. The existing issues list on Github is a good place to start if you have a specific issue not covered above or in the forums. Please let me know if you find issues or have a board not in the list.Ī lot of common issues with this sketch are discussed and covered in the discussion forums: I do not have any of these boards, so they are untested by me. Default pinouts are also included for WRover Kit, ESP Eye and M5Stack esp32 camera modules.The AI thinker wiki can be quite informative, when run through an online translator and read sensibly:.For some other good examples and information on ESP32 based webcams I also recommend the sketches here:.You may need to adjust the programming method to suit the your board, look for examples online. But I took care to leave the default definitions and controls for other boards in the example intact. I have four AI-THINKER ESP32-CAM boards, so the descriptions below are for that board. Especially the AI-THINKER board: AI-THINKER ESP32-CAM vs Other Modules: Hopefully this expanded example is more useful for those users who wish to set up a simple ESP32 based webcam using the cheap(ish) modules freely available online. There are many other variants of a webcam server for these modules online, but most are created for a specific scenario and not good for general, casual, webcam use.It is very focused on showing off the face recognition capabilities, and forgets the 'webcam' part. The original example is a bit incomprehensible and hard to modify as supplied. There are other (specialised) sketches for the ESP-CAM that do use face recognitioni more effectively, if this is your thing :-).They were a demo, only worked in low resolution modes, did not preserve the face database between power cycles, and were of little use in real-world applications.If you want to try the Face Recognition features please use the 3.x maintenance branch, which still recieves bugfixes, but is not receiving any further development.Lots of minor fixes and tweaks, documentation etc.Īnd 'reduced' by removing the Face Recognition features.Control of on-board lamps, rotate the view in the browser.More options for default network and camera settings.This sketch is a extension/expansion/rework of the 'official' ESP32 Camera example sketch from Espressif: Taken from the ESP examples, and expanded
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