Inspiring the Evolution of Embedded Design |
| May 17, 2022 IoT Technology Focus |
| |
| | Axiomtek’s Embedded System Is An Outdoor AI Inference System Aimed At AIoT. |
Axiomtek showcases an embedded PC, targeting outdoor AIoT, for transportation, traffic monitoring, and smart manufacturing, based on the NVIDIA Jetson Xavier NX with 6 cores Carmel ARM v8.2 (64-bit) processor and a 384 core NVIDIA Volta GPU. The system has an IP67 rating protection from water and dust. Perfect for highways in the USA and beyond. |
|
| | MediaTek Launches The Genio 1200 AIoT Chip And The Genio AIoT Stack Platform |
MediaTek launched an AIoT Stack Platform and a high-performance chip, the Genio 1200, to go with the stack platform. The entire package is aimed at the premium AIoT product market. The Genio series is a complete platform stack, with ultra-efficient chipsets, open platform SDK, and a developer portal to help drive concept and design, right up to device. |
|
| | Nordic Semiconductor Jumps Into Next-Generation Wireless Audio With A DK |
Nordic Semi had a May 2022 launch of the nRF5340 Audio Development Kit, based on the Nordic nRF5340 SoC, the first-ever wireless SoC. The SoC uses the latest LE Audio codecs, the low complexity communications codec, shown to have better audio sample rates and better quality than Classic Audio, and uses less power at half the wireless data rate. Get the full story here. |
|
Editor's Desk by Stephen Vicinanza |
| AIoT What Is It? Why Is It A Thing?
On this mid-May day, Circuit Cellar fans, I was to discuss the new mover and shaker in the IoT space, namely AIoT. Artificial Intelligence of Things is a fairly new concept with old bones in the technology world. First, let's talk about how AIoT is comparable to IoT. AI powers IoT in a reciprocal flow of data and actions. At the edge of IoT networks, the use of AI often takes more time than is possible to receive a proper response as an action from a device. This is true in cases of autonomous machine operations, smart buildings, cities, highways, and in medicine. Time-critical functions are faster the closer the device is to the source of the data operating the device. |
|
| | | The primary benefit of bringing data back to the edge is it allows sensor data to be processed on the spot, instantly. This allows actions to be initiated instantaneously also, such as emergency highway braking in a car. When IoT is a means to a simple action, such as dimming a light fixture at dawn, it is fine to have the data far from the sensor/source, but many IoT networks have extremely complex computations, attached to complex actions, that need to be initiated immediately. This is where IoT meets AI more intimately. AIoT applies intelligence to the edge in order for a device to take in data, make an observation about the environment, then decide what action to take instantaneously. |
|
This is all done with minimal human intervention or actions. The sector is growing at a rapid rate. In 2021 the AIoT product industry market was estimated at $15.08 billion. The CAGR is estimated to be 38.1% by 2028, with an estimated market value of $144.07 billion. What this means for the autonomous EV and the smart city is a vast growth in both sectors, as data so large and complex as to be overwhelming, will now have the means to be utilized at the source with AI learning on a deep level and distinctions in observational data that only humans could do before. This could very well give your car, home, or computer a personality unique to itself and the world around it. |
|
|
The KINO-TGL is a mini-ITX equipped with an 11th Generation Intel Core Processor (Tiger Lake), 64 GB DDR4 RAM, quadruple display, and abundant expansion slots. There are four-processor configurations to choose from, and three board variations, which integrate the Tiger Lake processor family (i3, i5, i7), and even a low-cost version that runs a Intel Celeron 6305 processor. |
|  | |
|
|
|
|
