Regal Perceptiv intelligence is a way of using and interacting with Regal products and services. It is hardware, software and “humanware.” Perceptiv intelligence is an interconnected matrix of smart, digital solutions intended to empower customers when engaging with Regal, in order to maximize equipment reliability and plant production.

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.

The Vizi-AI starter devkit includes an Intel Atom based SMARC computer module with Intel Distribution of OpenVINO toolkit and ADLINK Edge software. The dekvit is now available exclusively through Arrow Electronics in the North America and EMEA regions.

The fault detection and classification system (FDC) is called Dynamic Fault Detection (DFD) in the cloud. It establishes trace references dynamically and does not rely solely on the traditional control limiting methods.

Built on the EtherCAT standard and supported by a real-time 64-bit Windows operating-system (RTOS) from IntervalZero, KINGSTAR empowers engineers to design, develop and deploy one or more machine control applications on a single Industrial PC.

The Picavi Cockpit tool generates smart data for managing, maintaining, and customizing the screen of the Pick-by-Vision glasses: analytics, mobile device management (MDM) and configurator.

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

The edge computing device provides solutions as Edge AI embedded system, specifically designed for video analysis, object classification, computer vision, quality control and more.

The AIPW pre-scans the root opening (gap) using a 2D laser, then uses the data to generate the robot path and welding parameters. Gap variations are compensated for with changes in oscillation, torch position, travel speed and welding conditions. Th

The ISO-Spector M1A has a field of view (FoV) of 69 x 69mm (2.72” x 2.72”) and a 25 mega pixel camera with lens optics

This data-driven analytics algorithm is delivered inside a module that fits directly into the controller chassis. Once installed, Project Sherlock AI leverages novel physics-based modeling to “learn” the application that controller manages.