Products for Machine Learning

Averna releases Proligent QuickView smart data analytics software

• Averna Technologies

By monitoring values such as quality, availability, cycle time and throughput, operators, engineers, and management are positioned to flag potential issues and make better business decisions.

Dynics introduces XiT4 Inference Server

• Dynics

The XiT4 Inference Server,  powered by the NVIDIA T4 Tensor Core GPU, is a fan-less hardware platform for AI, machine learning and 3D vision applications. 

Freedom IOT introduces Freedom Smart Manufacturing Platform

This cloud-enabled IoT platform includes customizable dashboards and alerts and helps identify manufacturing bottlenecks and inefficiencies and streamlines manufacturing processes.  

AAEON introduces four AI edge-computing solutions powered by the NVIDIA Jetson platform

• AAEON Electronics, Inc.

The AAEON products provide interfaces needed for edge computing in a small form factor, to build applications for all levels of users, from makers to more advanced developers for deployments in the field.

ForwardX to introduce Visual Autonomous Mobile Robot and Robot Computing System at MODEX 2020

ForwardX robots depend on V-SLAM with Deep Learning techniques for positioning and navigation. They will be on display at booth 1207 at MODEX 2020

Falkonry announces Falkonry LRS 2.0 version of operational machine learning system

In field trials, Falkonry LRS 2.0 has provided performance, visualization and scale, enabling customers to realize improvements in the uptime, quality, safety and yield of their industrial operations.

EVT introduces Machine Learning-based EVT Scratch Inspector

As standard the Scratch Inspector is available in three different illumination variations. Depending on the requirements, the illuminations can be adapted to the different sizes of the component parts.

Beckhoff Automation announces TwinCAT 3 Machine Learning solution

• Beckhoff Automation

With machine learning, the automation controller can learn the desired algorithms from process data. With this alternative approach, ML models can be trained and then used to deliver solutions.