Edge AI is being increasingly deployed across various sectors, including healthcare, manufacturing, retail, and smart cities. This trend is driven by the need for real-time data processing and decision-making at the source of data generation, facilitated by deep learning at the Edge.

Industrial environments are often faced with harsh conditions that are demanding, and sometimes, unpredictable. Extreme temperatures, moisture, dust, and vibration are all factors that influence the reliability, performance, and overall lifetime of traditional systems. With the added demands of remote monitoring and industrial automation functions, it’s important that these mission- and safety-critical applications consistently withstand these challenges.

Taipei, Taiwan. During COMPUTEX 2024, ASUS IoT launched its PE2100N series edge AI systems, powered by NVIDIA Jetson AGX Orin, and PE1101N series, powered by the NVIDIA Jetson Orin NX or NVIDIA Jetson Orin Nano modules. Both series leverage the NVIDIA Jetson Orin lineup that offers up to 275 TOPS of AI performance to deliver designers a seamless customizable platform for various applications including machine vision, automated guided vehicles (AGV), autonomous mobile robots (AMR), and intelligent video-analytics applications. According to ASUS IoT, the solutions provide faster speed, stronger security, and significant cost savings while expanding data processing at the edge.

Embedded systems play a critical role in a host of applications, and those certainly include both industrial and commercial.

On this episode of Embedded Insiders, we’re featuring a group of AI experts all hailing from vendors based in Taiwan. The vendors, certainly leaders in their own right, are DFI, ASUS IoT, and Shuttle, and they all feature IoT products, or in this case, AIoT products. The event was organized by the International Trade Association (TITA). Give it a listen.

Product Description:

The new and improved Tinker Board S R2.0 is a single board computer (SBC) that offers greater durability, better stability and an overall improved user experience for DIY enthusiasts and makers everywhere.

An embedded computer plays a key role in a network analyzer application, as it performs a variety of tasks related to network monitoring, analysis, and management. Some common tasks performed by that embedded computer include the following: