Have you ever taken apart your Amazon Echo? There’s a lot in there, including an embedded applications processor, MEMS microphones, WiFi and Bluetooth connectivity, an AWS cloud backend, and a ton of sophisticated automatic speech recognition (ASR) and natural language processing (NLP) software. When you’re ready to put it back together, or better yet want to build your own, you’ll probably be interested in the* SmartCow Apollo Audio/Visual AI Engineering Kit.
Bluetooth has permeated the audio market, from speakers to earbuds to hearing aids. As consumers, we now have some pretty clear expectations of Bluetooth-enabled audio products, like high-fidelity, decent range, and lengthy battery life.
Here’s what you’ll need if you want to build an industrial IoT sensor node:
- The intelligence to convert, filter, and in some cases analyze, analog signals at the edge
- Enough efficiency to run for long periods on minimal resources
- Some amount of connectivity
- And because of that, local security
Oh yeah, you’ll probably want to start thinking about compliance with safety standards like IEC 61508, too.
Industrial Metaverse Blueprints: Definitions & Requirements for the Most Impactful Economic Outcomes, Part 1 - StoryJune 27, 2022
Gartner defines the Metaverse as “a collective virtual open space created by the convergence of virtually enhanced physical and digital reality. It’s physically persistent and provides enhanced immersive experiences.” IDC defines the metaverse as an evolution of today’s internet that leverages mobile devices, augmented and virtual reality headsets and next-generation networks to create persistent and continuous user experiences with a strong sense of presence.
Neither are inaccurate. However, neither accurately portrays the depth, scale, and potential of the metaverse beyond its current, nascent form or its value beyond basic human entertainment as a solution to some of the world’s most pressing, complex problems.
Indeed, the metaverse represents a massive paradigm shift that promises to redefine how we approach solving problems through technology. The earliest and biggest opportunities to apply its concepts lie in industry, where leading organizations are already leveraging the building blocks of the metaverse – whether they know it or not – in the deployment of digital twins that will one day form systems of systems that comprise entire virtual worlds.
This is the first article in a series covering the industrial metaverse and digital twin technologies, applications, current industry activities, and the potential for standards. We encourage you to follow this series, comment, and ask questions. Participation and collaboration are critical as we embark on what may be the most significant inflection point in the history of technology.
The previous four parts of Make Any Sensor a Smart Sensor with PICMG IoT.1 discussed the importance of industrial sensors to intelligent automation environments and a path forward that empowers anyone, regardless of technical ability, to build smart sensors of their own. Over the next several installments, the series pivots to the beneficiaries of smart sensor data – smart effecters that translate data intelligence into real-world action.
It’s the kit you’ve all been waiting for! Welcome to Dev Kit Weekly, where this week we’ll be reviewing and raffling the Jetson AGX Orin Developer Kit from NVIDIA.
Imagine a police body cam. We’ve all seen, or, at least heard of those, right? Now, for first responders, what if those on-body systems were artificial intelligence-enabled and cloud- connected, capable of detecting and tracking faces, live streaming to support services, and saving footage into secure cloud storage. Things would certainly be more … transparent.
I recently came across an 8-bit PIC MCU data sheet that predates 1982. That means it also predates Microchip as a company (incorporated in 1989), making it a remnant of bygone General Instruments days.
Everyone has had a conversation with that experienced engineer or tenured member of the technical staff who’s said, “IoT is nothing new. I’ve been doing that for [insert number of decades], we just called it [insert connected embedded/M2M/other term implying networked equipment].” It’s eye roll-inducing. And it’s wrong.
Debug & Test
Protocol analysis isn’t going out of style anytime soon, and neither are the oscilloscopes you need to perform it. In fact, they’re modernizing.
Dev Kit Weekly: Intrinsic ID's BK Software IP via (100 FREE!) STM32 Nucleo 144 Development Boards - VideoApril 22, 2022
Let’s get back in the swing of things by starting with something tangible. This Nucleo-L4A6ZG development board from STMicroelectronics is based on a 32-bit Arm Cortex-M4 CPU core that runs at 80 MHz and, importantly, contains 320 KB of SRAM and 1 MB flash. More on that in a minute.
The new Jetson AGX Orin Developer Kit delivers 275 TOPS of performance at 15-60 W, and is pairing with advances in the NVIDIA Isaac and JetPack SDKs to accelerate AI development, deployment, and bring the output of Omniverse tools to autonomous robots at the edge.
Data is the foundation of smart factory and Industry 4.0 value, and that data is captured by sensors at the edge. Transforming that data into intelligence requires the convergence of the IT and OT domains, which begins with smart sensors.
Make Any Sensor a Smart Sensor with PICMG IoT.1, Part 4: What Is A Builder and How Do I Get Started? - StoryFebruary 02, 2022
PICMG IoT.1-compliant firmware must be user-friendly but also machine readable. In Part 4 we discuss the next link in the firmware development chain: the Builder.
Make Any Sensor a Smart Sensor with PICMG IoT.1, Part 3: How Do I Create Smart Sensor Firmware? - StoryFebruary 02, 2022
PICMG IoT.1-compliant smart sensors run on a configured data model. In Part 3, we take a look at the process of configuring the smart sensor firmware using a sample configuration tool provided by PICMG.
To accelerate the development and deployment of smart sensors in Industry 4.0 applications, the PICMG IoT.1 specification outlines a standard data model for sensor manufacturers and systems integrators. In Part 1, we look at the requirements of a smart sensor and outline the tools required to make your own.
Debug & Test
Percepio has improved Tracealyzer support for Microsoft Azure and the Azure ThreadX RTOS by integrating its trace recorder in ThreadX so that hours or days of trace data can be streamed to and stored on the host system for profiling or burn-in testing. The Percepio DevAlert IoT device monitoring service also now runs on Azure.
RISC-V is known as an open-standard instruction set architecture (ISA) whose base instructions have been frozen to minimize complexity. But more recently it has added a wide range of custom extensions and enhancements that are making it increasingly popular amongst SoC designers building application-specific systems.