AUTOMATICA 2022 Sponsored Feature
AI-based
Cognex In-Sight 2800 series -Enter the raffl e and try it out
In-Sight 2800 solves a wide range of image processing applications from simple inspection tasks to complex tasks F
or decades, automation using machine vision has been one of the most popular ways for manufacturers to increase
their margins. Today, automation via Artifi cial Intelligence (AI) technology is transforming manufacturers’ ability to improve their business operations and gain new customers. AI can be leveraged for areas as diverse as supply-chain management, quality testing and inspection, or predictive maintenance for equipment. AI has a truly transformative power to recast the way manufacturers think about their entire operations. But even as this game-changing technology advances and becomes more user-friendly, many manufacturers still struggle to take full advantage of it, largely due to perceived challenges involving cost, startup time, required expertise and the reliability of results.
The new In-Sight 2800 series vision system from Cognex, a global leader in machine vision technology, now puts the power of a full-featured vision system into an easy-to-use package that gets applications running in minutes. “It has never been easier to apply deep learning to a production line,” said Carl Gerst, Executive Vice President of Products, Platforms and Solutions at Cognex. “The In-Sight 2800 system can be trained with just a few images to automate everything from simple pass/ fail inspections to advanced classifi cation and sorting – no PC or programming is needed.”
The EasyBuilder interface guides users step by step through the application
18 May 2022 | Automation
Above: In-Sight 2800
screenshot classification Right: In-Sight 2800
screenshot classification
development process, making it simple for even new vision users to set up any job. Experienced users will appreciate how In-Sight’s intuitive, point-and- click interface simplifi es more complex application development and keeps operations moving fast, enabling rapid turnaround from proof of concept to deployment.
The combination of deep learning and traditional vision tools gives users the fl exibility to solve a broad range of inspection applications – operators simply select the tool designed to deliver the highest possible accuracy for their task. Tools can be used individually for simple jobs or linked together for more complex logic sequences.
The toolset also includes ViDi EL Classify; using as few as fi ve images, this powerful classifying tool can be trained to identify and sort defects into diff erent categories and correctly identify parts with variation. The ability to classify by multiple features or characteristics allows users to solve more tasks with a single vision solution.
The new In-Sight 2800 system also
off ers a wide variety of accessories and fi eld-changeable components to help users adapt quickly to changes such as new parts, faster line speeds and higher quality standards.
The combination of machine vision and deep learning are the on-ramp for companies to adopt smarter technologies that will give them the scale, precision, effi ciency and fi nancial growth for the next generation.
See why In-Sight 2800 is the easy choice for your next machine vision deployment by entering for the chance to win an In-Sight 2800 at https://connect.
cognex.com/IS2800-Giveaway-LP- EN?src=7014W000000uoK2QAI
CONTACT:
Cognex UK
www.cognex.com
Regus, Central Boulevard, Blythe Valley Business Park; B90 8AG Solihull, West Midlands
United Kingdom Contact Sales: +44 121 2965163
automationmagazine.co.uk
Page 1 |
Page 2 |
Page 3 |
Page 4 |
Page 5 |
Page 6 |
Page 7 |
Page 8 |
Page 9 |
Page 10 |
Page 11 |
Page 12 |
Page 13 |
Page 14 |
Page 15 |
Page 16 |
Page 17 |
Page 18 |
Page 19 |
Page 20 |
Page 21 |
Page 22 |
Page 23 |
Page 24 |
Page 25 |
Page 26 |
Page 27 |
Page 28 |
Page 29 |
Page 30 |
Page 31 |
Page 32 |
Page 33 |
Page 34 |
Page 35 |
Page 36 |
Page 37 |
Page 38 |
Page 39 |
Page 40 |
Page 41 |
Page 42 |
Page 43 |
Page 44 |
Page 45 |
Page 46 |
Page 47 |
Page 48 |
Page 49 |
Page 50 |
Page 51 |
Page 52 |
Page 53 |
Page 54 |
Page 55 |
Page 56 |
Page 57 |
Page 58 |
Page 59 |
Page 60 |
Page 61 |
Page 62