With a gorgeous view of the Italian seaside, we’re not surprised [Danilo Larizza] had a couple IP cameras set up to pull in real-time views. But using a Raspberry Pi, an environmental sensor, and some software trickery to overlay the current (and naturally, perfect) weather conditions over the images? Now he’s just teasing us.
Whatever his motives are, we have to admit that the end result is very nice. Especially when you find out that there’s no complex hardware or software at work here. An original Raspberry Pi is doing all the heavy lifting by pulling a frame from the external IP camera using ffmpeg, polling the I2C-connected BME280 temperature and humidity sensor with a Python script, and then producing a final snapshot with the environmental data laid over top using ImageMagick.
[Danilo] gives the exact commands he’s using for each step of the process, making it easy to follow along and see how everything comes together in the end. That also makes it much easier to adapt for your own purposes should you feel so inclined. Once you see how all the pieces fit together, where the data and images come from is up to you.
We’ve previously shown how some simple Python code can be used to turn your raw data into attractive images, and combining that with real-world photographs is an excellent way of turning a text file full of values into a display worth showing off.








Using the IDE is easy enough, install a binary, connect to the ESP with a web browser, start writing MicroPython code. There is a choice of connecting directly to the chip as a hotspot, or connecting via another WiFi network. The interface is looking pretty slick but he’s at pains to remind us that it’s a work in progress. Sadly there is no source code yet as it’s a binary distribution that is free for non-commercial use, we’d hope that an open-source release might one day happen. It’s not for everyone, but the convenience of accessing the same interface from almost any modern device should help attract a healthy community.