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One sensor to rule everyone

The Neurio smart sensor project, which two weeks before the end of the Kickstarter campaign has already exceeded the plan by $ 40,000, is based on an unusual approach to managing the smart home. At the heart of Neurio is a very accurate and detailed analysis of energy consumption. A smart counter is similar to a conventional electronic electricity meter, but it captures many more parameters, and it does it more precisely and more often than a normal one. These data are sent to the cloud and are analyzed by artificial intelligence algorithms, which quite confidently recognize individual consumers of electricity according to their “handwriting”.







This is possible because the Neurio sensor measures in two independent two-way channels not only active power, but also reactive power, power factor, voltage, current, and frequency. Data is updated once per second and transferred to the home network via WiFi. In case of loss of communication there is an internal memory, which is enough for a year of continuous recording.



In the cloud, the flow of information about the electrical characteristics of the home network is converted into a stream of messages about recognized events, such as turning on or turning off a certain electrical appliance or even higher-level, combined events — for example, if the garage door drive is turned on and then the house lights up, the system can the conclusion that the user has returned home from work. The reaction to each event is set by the user - this can be an SMS notification, turning on or off any electrical device - Neurio is already integrated with IFTTT and SmartThings. It is also possible to connect any user devices and scripts - the Neurio API is open.

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Included with the sensor and the Neurio cloud service is the Wattson application, which analyzes the history of energy consumption and allows you to identify the most voracious consumers and optimize consumption. For paranoids, it will be possible to deploy a personalized Neurio cloud on their own server, although it’s likely that they will have to pay less recognition accuracy - after all, the common cloud will constantly learn from the user data.



Source: https://habr.com/ru/post/200556/



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