MENU

FPGA machine vision platform automates product inspection

New Products |
By Jean-Pierre Joosting


Innodisk has announced its latest step into the AI market, with the launch of EXMU-X261, an FPGA machine vision platform. Powered by the Xilinx Kria K26 SOM from AMD, which was designed to enable smart city and smart factory applications, the FPGA machine vision platform is set to lead the way for industrial system integrators looking to develop machine vision applications.

Automated defect inspection, a key machine vision application, is an essential technology in modern manufacturing. Automated visual inspection guarantees that the product works as expected and meets specifications. In these cases, it is vital that a fast and highly accurate inspection system is used. Without AI, operators must manually inspect each product, taking an average of three seconds per item. Now, with the help of AI, systems such as the Innodisk FPGA machine vision platform enable product inspection in factories can be automated, and the end result is not only faster and cheaper, but can be completely free of human error.

The FPGA machine vision platform comes with 1GbE LAN, four USB 3.1 Gen1 ports, two M.2 slots, and a series of other expansion and connectivity options. Thanks to the platform’s 0° to 70 °C operational temperature support, and optional industrial temperature support from -40° to +85°C, the EXMU-X261 is tough enough for the harshest of industrial environments. In addition, the EXMU-X261 features support for Innodisk’s InnoAgent out-of-band remote management module, allowing the platform to be remotely managed from anywhere, even during a system crash or an in-band network failure. This is important for any automated system, as it allows it to be completely unmanned, which further reduces manpower and maintenance costs.

Customers can take advantage of AMD’s Xilinx Kria K26 SOM’s ability to quickly get  applications to market thanks to EXMU-X261’s full support for Innodisk’s AI Suite SDK. The suite includes an FPGA Model Zoo, as well as Innodisk’s in-house software, such as iCAP (Innodisk Cloud Administration Platform), and iVIT (Innodisk Vision Intelligence Toolkit). iVIT for example, provides a deep learning environment for efficient development and deployment of “no-code-operation” solutions.

www.innodisk.com

 

Related articles

Image chip with ANN boosts machine vision a 1000x
Design services address Edge AI vision applications
Start-up awarded grant to develop AI computer vision module
MIPI CSI-2 camera specification targets AI and machine vision
High-resolution module for 3D depth sensing and vision systems
Startup secures funding to eliminate data and model blind spots in computer vision


Share:

Linked Articles
eeNews Embedded
10s