Enhancing Safety Standards in Manufacturing Environments with Vision AI
This piece delves into Vision AI's pivotal role in reshaping safety paradigms in manufacturing. But before we dive in, let's first decode the workings of Vision AI.
Building Trust in AI/ML: The Key to Unlocking its Potential in Manufacturing
Manufacturers are adopting AI/ML to increase efficiencies and cut costs. Using AI/ML to monitor and analyze plant operations reveals production chokepoints, potential equipment failures, and areas where automation can streamline operations.
Optimizing the Manufacturing Supply Chain With 7 Tech-Forward Solutions
Every manufacturing operation needs an efficient and resilient supply chain. Stock shortages, shipping delays and similar disruptions can prolong production, raise costs and impact customer satisfaction, so manufacturers must prevent them as much as possible.
Business Case for Artificial Intelligence in the Plastic Injection Molding Business
A leading plastic injection molding factory was experiencing unusually high defect rates in a specialty plastic bottle designed for the healthcare industry. They were unable to identify or determine the root causes associated with these unusually high defect rates.
Augmented Intelligence in Machine Vision - is Furthering Human Intelligence More Effective Than Replacing It?
Augmented intelligence is similar to artificial intelligence in that it uses machine learning algorithms to enhance defect detection. However, instead of aiming to replace human intelligence, augmented intelligence aims to build upon it.
Five Ways Visual AI Increases Profitability in Manufacturing
The problem with traditional surveillance camera systems is that they are typically used only passively or reactively, i.e., video images are inconsistently viewed and-more often than not-after a safety, security, or quality-related event has taken place.
Predictive Quality Analytics in Manufacturing: How AI and Machine Learning are Transforming the Industry
With predictive analytics quality management, manufacturers may now identify and avoid quality issues before they arise by utilizing cutting-edge technology like AI and machine learning (ML), which has significantly improved productivity and profitability.
Strategies for Optimizing Supply Chain with Automation
The pandemic brought supply chain to the forefront, leading companies to seek AI, analytics, and automation solutions for efficiency and meeting demand. Machine Learning predicts demand and AI/automation boosts quality and monitors events.
Why the conventional deep learning model is broken
The conventional deep learning model is a supervised model. It takes months of time to develop and train the model before it is ready for the production line.
AI in Manufacturing: Reshaping the Future of the Industry
We'll take a look at just some of the ways manufacturing companies can benefit from implementing AI in their processes. Furthermore, we'll share the diverse applications of AI that will help you save costs and improve processes regardless of the product specifics.
How AI is reshaping the edge computing landscape
How much computing power is needed at the edge? How much memory and storage are enough for AI at the edge? Minimum requirements are growing as AI opens the door to innovative applications that need more and faster processing, storage, and memory.
AI-driven Composable Manufacturing's Plug-and-play Approach Gives Manufacturers the Jump on Disruptions
Composable manufacturing is an approach that uses a virtual tool to assemble - or compose - modular packages of pre-programmed processes into new workflows on a screen.
Synthetic learning - How synthetic data can help manufacturers train AI
With synthetic data providing such a useful alternative to generating real-world data, it might not seem surprising that a study by Gartner estimates that by 2024, 60 per cent of all data used in AI developments will be synthetic.
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.
Bringing AI to Electronics Assembly Inspection
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.
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Parvalux by maxon - AC or DC electric motors for conveyor systems?
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