The internet of things is one of my favorite topics. IOT enables low-powered connected devices that opens gateways from the digital to the real world. While I love tinkering away with an Arduino sketch and the latest Espressif or Arduino board, there is always an air of frustration when trying to build out what at first seems like simple functionality using one of these “smart devices” because of the limited view we have into their operations.
OTA is a term commonly used when working with any type of device. Simply, the abbreviation OTA means ‘over-the-air’, and refers to the distribution of information wirelessly. In the context of IoT, you will often hear it used in combination with “updates”. Let’s explore in more detail what OTA is.
Varland Plating has been in the electroplating business since 1946. At their industrial job shop in Cincinnati, Ohio, they perform complex electrochemical treatments on steel, brass, and copper manufactured parts to create everything from corrosion-resistant building materials to decorative metals.
Learn how to deploy InfluxDB Cloud’s Native Collectors with Kepware and the Things Network. In Part 1 of the blog series, we discussed connecting Kepware to InfluxDB using the new InfluxDB Cloud feature Native Collectors! As promised, let’s now discuss how to connect an Enterprise IoT platform, The Things Network to InfluxDB. Before we get to the juicy tutorial let’s run through a quick reminder.
You’ve probably heard about the Internet of Things but what about the Artificial Intelligence of Things? Yes, connected things are also getting smarter and smarter. AIoT is a new field that combines AI and IoT in fascinating new use cases, some of them in automotive.
From entertainment to security, automation is now pervasive. Intelligent devices are transforming our homes while enriching our lives, making them more efficient, productive and environmentally friendly. Most embedded devices run Linux, and their number is poised to keep growing.
When debugging an RTOS-based system, tracing can often give a better understanding of the real-time behavior of your system. Percepio Tracealyzer supports two main types of RTOS tracing, snapshot and streaming, both offering the same powerful visualization although streaming allows for collecting longer traces. The Percepio trace recorder offers several options to allow developers to adjust the tracing setup to fit their target system and their analysis needs.