DeviceHive’s Blockchain Plugin

Introduction

Today blockchain is one of the most popular technologies available given the security and reliability it offers users. Based on these factors, there is a significant chance that it become the standard in many industries. Therefore, any blockchain-integrated ecosystem is equally likely to become a future industry standard as well. It’s public, but protected; it’s decentralized and secure, all these properties make blockchain very attractive compared with other technologies.

Many experts believe that Blockchain technology is the missing link that can address security, privacy

Tutorial: Implement Object Recognition on Live Stream

Introduction

Image recognition is very widely used in machine learning. There are many different approaches and solutions to it, but none of them fitted our needs. We needed a completely local solution running on a tiny computer to deliver the recognition results to a cloud service. This article describes our approach to building an object recognition solution with TensorFlow.

YOLO

YOLO is

Sound Classification with TensorFlow

Introduction

There are many different projects and services for human speech recognition like Pocketsphinx, Google’s Speech API, and many others. Such applications and services recognize speech to text with pretty good quality, but none of them can determine different sounds captured by the microphone. What was on record: human speech, animal sounds, or music playing?

We were faced with this task and decided to investigate and build sample projects which will be able

Running Grafana with DeviceHive

DeviceHive is an IoT platform which has plenty of different components. The Grafana plugin is one of them. This plugin can gather data from a DeviceHive server and display it with different dashboards using the very popular tool – Grafana. This article explains how to create a Grafana dashboard with DeviceHive. As an example, this uses the ESP8266 chip analog pin to visualise the voltage on it.

Data

To display anything on a dashboard we need data. In terms of a DeviceHive server,