This article describes a PC-based IoT controller that runs on-machine vision solutions and performs IoT gateway services. We look at how this controller delivers new levels of performance and agility to machine vision. We explain the role of real-time industrial Ethernet technologies in ensuring the smooth coordination of multiple control nodes. We discuss how open standards and pre-integrated CODESYS SoftMotion CNC RTE and NEXCOM NexECM soft- ware accelerate and
the deployment development of multi-function
machinery. And we investigate how the performance capabilities of the 6th generation Intel®
Core™ processor
product family enable a single IoT con- troller to perform so many tasks.
The Demand for More Versatile Machine Vision Machine vision systems identify faulty incoming work pieces, guide the posi- tioning of work pieces, and inspect finished parts for quality control. Isolated from the chain of automated control, older, traditional purpose-built machine vision systems lack motion control APIs. They can deliver little more than pass/fail determinations and require programmable logic con- trollers (PLCs) to handle control func- tions (Figure 1). Because data often goes uncollected in these systems, correlating variables, spotting trends, and implementing predictive mainte- nance is difficult, if not impossible.
A New Generation of Machine Eyes
Modern pressures to increase effi- ciency, yield rate, and capacity have created demand for a new genera- tion of machine vision systems. IoT industrial controllers that incorporate machine vision are now coming online – literally. These sophisticated and versatile systems offer IoT connec- tivity and massive increases in com- pute and image processing, as well as data storage (Figure 2). Their on-ma- chine vision enables greater precision and coordination.
Modern web services and dashboards allow factory management personnel
In-Process Control & Monitoring HMI Station PMS Station Cloud Automated Machining PC-Based Camera
Machine Vision Systems
Modern pressures to increase efficiency, yield rate, and capacity have created demand for a new generation of IoT industrial controllers that incorporate machine vision.
Conveyor PLC Figure 1.
Many of today’s machine vision systems work in isolation from the automated control chain.
Remote Monitoring and Analysis Cloud Headquarters
-Incoming/Outgoing Inspection -In-Process Control & Monitoring -Automated Machining
NIFE 300 Camera NIFE 300 Camera
Conveyor Figure 2.
Industry 4.0 modernizes operations with solutions such as IoT industrial controllers that integrate machine vision and cloud connectivity.
intel.com/embedded-innovator | Embedded Innovator | 13th Edition | 2016 | 37
TODAY
INDUSTRY 4.0
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