Machine vision has come a long way from the simpler days of cameras attached to frame grabber boards--all arranged along an industrial production line. While the basic concepts are the same, emerging embedded systems technologies such as Artificial Intelligence (AI), deep learning, the Internet-of-Things (IoT) and cloud computing have all opened up new possibilities for machine vision system developers. To keep pace, companies that used to only focus on box-level machine vision systems are now moving toward AI-based edge computing systems that provide all the needed interfacing for machine vision, but also add new levels of compute performance to process imaging in real-time and over remote network configurations. AI IN MACHINE VISION ADLINK Technology appears to be moving in this direction of applying deep learning and AI to machine vision. The company has a number of products, listed "preliminary" at present, that provide AI machine vision solutions. These systems are designed to be "plug and play" (PnP) so that machine vision system developers can evolve their existing applications to AI-enablement right away with no need to replace existing hardware.
City of Industry, CA, February 07, 2018 -- Axiomtek, one of the world's leading design and manufacturing companies of innovative, high performance and reliable PC-based industrial computer products, is proud to introduce its latest RISC-based, DIN-rail industrial IoT gateway, the IFB125. It is powered by the Freescale i.MX6UL processor with the ARM Cortex -A7 microarchitecture. This compact IoT gateway is robust and feature-rich, with flexible communication options. It is designed for versatility of use and quick deployment. The IFB125 is suitable for a variety of applications including applications that require remote control and monitoring management functions, i.e., unmanned control, industrial automation, automatic parking lot control, traffic light control and more.
AAEON, a specialist in artificial intelligence (AI) edge solutions, has released the BOXER-8251AI AI edge box PC, powered by NVIDIA Jetson Xavier NX. The BOXER-8251AI is said to offer greater performance and is more compact. The device is powered by the Jetson Xavier NX from NVIDIA. Featuring a six-core 64-bit ARM processor, it boasts 384 CUDA cores, 48 Tensor Cores, and two NVDLA engines capable of running multiple neural networks in parallel, delivering accelerated computing performance up to 21 TOPS. Built to bring dedicated AI processing to the edge, the system also features 8GB of LPDDR4 memory and 16GB of onboard eMMC memory that's expandable through the Micro-SD card slot.
Nvidia launched the Jetson Xavier NX embedded System-on-Module (SoM) at the end of last year. It is pin-compatible with the Jetson Nano SoM and includes a CPU, a GPU, PMICs, DRAM, and flash storage. However, it was missing an important accessory, its own development kit. Since a SoM is an embedded board with just a row of connector pins, it is hard to use out-of-the-box. A development board connects all the pins on the module to ports like HDMI, Ethernet, and USB.
The fanless and maintenance-free AI (Artificial Intelligence) Edge computers from Syslogic are based on NVIDIA Jetson platform (Jetson TX2 and Jetson Xavier). AI embedded systems are paving the way for GPU-accelerated applications like machine learning or computer vision. Intelligent decisions are made in real-time at the edge. AI Edge Computing opens up new opportunities for the IIoT (Industrial Internet of Thing) across all industries and is accelerating the digital transformation. Syslogic combines AI Computing with more than 30 years of experience in designing and manufacturing rugged and durable industrial computers.