MicroPython | 2 min | 438
As you may have noticed in my past videos, I've been using a self-made rotating platform to display the projects. In this article, I'll describe and present it to you. It is still in its baby step, and I need a case to put everything inside. However, the code is available. The microcontroller is an ESP32, which is connected to Wi-Fi and hosts a website to configure the angle, speed, and direction of rotation. The ESP32 is programmed using MicroPython. Check out the following video!...
Two weeks ago, I published a tutorial that explains how to connect an M5Stack running MicroPython to the Google Cloud Platform using the IoT Core, and I did mention that upcoming tutorials will examine the following topics:
- Collecting and synchronizing external data (weather from OpenWeatherMap) and other sensors -window/door status, sneezing detector-.
- Saving the data to a NoSQL database
- Displaying the obtained data on Google Data Studio.
Spring in Europe has already started, and many people are having allergy problems. Therefore, I thought of making a project to measure air quality and collect this data to train a model that can tell me, when is the best time to open my apartment windows to let some fresh air into the apartment and thus minimize possible allergy attacks and sneezing! Like almost everyone right now (thanks to COVID-19), I'm working from home and this beautifu...
MicroPython | 2 min | 4246
This tutorial extends the article MicroPython: Taking photos with an ESP32 and in this case, the ESP32-CAM running MicroPython takes a photo every 5 seconds and saves it on the microSD card. The photos can be then combined into a time-lapse video! :)
The MicroPython official version doesn't support I2S interface. However, tsaarni wrote a driver for the OV2640 and forked the MicroPython repository to include it. Thus, you need to follow the instructions in this article: MicroPyt...
MicroPython | 5 min | 2739
I was surfing the services that Google offers, I found the Geolocation API. As Google describes the API: it returns a location and accuracy radius based on information about cell towers and WiFi nodes that the mobile client can detect. As I was writing the last post using MicroPython, I thought the WiPy 2.0/3.0 could be a nice "mobile client".
To use the API you need to get an API key from Google. As a standard user of the API, you get:
- 2,500 free requests per day, and
- 50 r...