In this instructable I am going to show you how I made an IoT Power Measurement module that calculates the amount of power generated by my solar panels, that is being utilized by my solar charge controller to charge my lead acid battery pack. The core of the project is an Arduino Nano board with an ESP8266 Wi-Fi module
German researchers from Universtiy of Stuttgart and Regensburg have recently created InfiniTouch, a prototype device which allows you to interact with both sides of the smartphone. InfiniTouch takes two LG Nexus 5 phones, and morphs them into one handheld device. In order to save space, most of the actual phone electronics are located in a separate…
Boston-based Onion Corp. began its Indiegogo crowdfunding campaign in July and by Aug. 23 had already received more than $773,400 in pledged funding — 4,400% its funding goal o develop Omega2, a new embedded linux computing board. The Onion Corp. said its new Omega2 computer is compatible with a power-sipping Arduino motherboard but it also…
Have you ever wondered why smartphones are called smartphones? Because they are smart, right? They do some jobs automatically, intelligently. This is the short answer. For example, mobile phones have an automatic brightness control system, which is very useful. But for unknown reasons, computers don’t have an automatic brightness control system. To change the brightness,…
The wireless power contest by Open Electronics is running to its end, if you want to submit your idea don’t loose time! Deadline is set to Nov 30th, send your project here. Today we are presenting a very smart project, following the need for building and bridges safety we all have: a smart brick that…
In the Arduino blog you can find this amazing project As a motorcyclist, it’s important to be seen at all times. To help improve his visibility while on the road, Adnan Khan decided to outfit his helmet with a brake light and turn signals that activate along with the bike’s built-in indicators. The video below…
The project attempts to recognize different bird calls by continuously listening to audio through the Nano 33 BLE Sense’s built-in microphone. The call of the bird heard will be analyzed and classified; if it is not heard, the audio will be classified as background noise. This project can be useful for people interested in birding…
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