Learn How To Protect Your Business with AI for Visual Inspection - Pleora Webinar Live April 6, 2022
This webinar will discuss how two manufacturers - a distillery and an electronics assembly operation - are using camera-based visual inspection to protect their brand and make manual processes repeatable, consistent, and traceable.
Adding automated decision-support to visual inspection helps speed inspection rates, improve end-to-end product quality, and provides more qualitative product evaluation to ensure manufacturing processes are repeatable and traceable.
Private 5G Connectivity and AI Technologies Accelerate the Transformation From Automation to Autonomy
This article looks at private 5G (known as P5G) and how it supports advanced and emerging technologies, including AI cameras, enabling manufacturers to drive more functionality closer to the edge.
Plant controller systems based on static models are not responsive enough to adapt to changes and prescribe actions to insure optimal outcomes. As a result, set points are adjusted every now and then by operators who hunt for good conditions.
AI and machine learning offer manufacturing a chance for new and stable growth. When paired with traditional automation, these technologies can improve efficiency and decrease costs.
This article discusses how legacy manufacturing enterprises can harness the latest technologies, to optimize factory operations without having to ramp up infrastructure investment.
Purpose-built solution AI and machine vision solution on Intel® edge processors are helping manufacturers successfully adapt the defect detection technology and expand it to address broader Industry 4.0 use-cases.
Artificial intelligence (AI) is gaining favor as a solution for quality problems, but many manufacturers struggle with the perceived cost and complexity of implementing new technology.
Swedish philosopher Nick Bostrom once said, "machine intelligence is the last invention that humanity will ever need to make". AI decision making, with real time communication and data analytics, has the ability to transform the way manufacturers understand machines.
Automation helps companies achieve greater flexibility and planning reliability, even in the case of multi-variant production. One factor that deters many companies from switching to automated processes, however, is time.
Leveraging artificial intelligence (AI), the manufacturing industry can protect workers better and ensure that all employees wear gear to stay compliant with Personal Protective Equipment (PPE) protocols to avoid costly penalties.
A recycling center customer was looking for a high-performance, industrial-grade Artificial Intelligence (AI) solution that could successfully function in harsh environments. The customer needed an automated solution to help identify certain materials on the recycling line.
Artificial intelligence (AI) is one of the fastest-growing technologies in the business world today. AI is a broad umbrella, covering many specific technologies, and machine learning is one of the most promising of these.
New data- and ML-based business models will become more commonplace, so early adopters will have a competitive advantage. Machine learning will happen both in the cloud and on the edge, i.e., directly on or next to production machines and sensors.
As the benefits of main AI elements such as Machine Learning, Data Analysis, and Predictive Analysis are undeniable, what are the few biggest challenges that companies may face while introducing AI to their day-to-day operations?
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Cutler has authored more than 8000 articles for a wide range of manufacturing periodicals, industrial publications, and business journals including most of the leading monthly trade publications.