The Future of IoT Analytics: How AI and Big Data are Changing the Industrial Sector

Imagine trying to keep track of everything happening in a giant factory, where robots build cars, sensors check the temperature, and cameras inspect for defects. Without a system to connect all that information, it would be chaotic.

Three eras of machine learning - A new paradigm

Simple rule-based algorithms have been used in the visual inspection market for many years, but as their limits have become more apparent, the need for more sophisticated software has grown.

Revolutionizing Machining Operations with Artificial Intelligence

The synergy between AI and CNC machining is set to reshape the future of manufacturing. Embracing these innovations will empower industries to achieve new levels of excellence, driving growth and success in an increasingly complex market.

The AI Imperative: Crafting Your Manufacturing Future

How does a business begin to build a compelling AI case? It starts with a problem worth solving. Here is how businesses can leap onto the AI train with a strategy that is as pragmatic as it is ambitious.

How ML helps manufacturers maintain safer workplaces

This article covers the concept of machine-learning in manufacturing and highlights four use cases of ML improving workplace safety.

IoT in Manufacturing: Seizing the Opportunities Amid Challenges

Now more than ever, manufacturers are integrating new technologies, such as IoT, cloud computing and analytics, and AI and machine learning into their production facilities and operations.

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.

Three Eras of Machine Learning ~ a New Paradigm for Quality Inspection

Simple rule-based algorithms have been used in the visual inspection market for many years, but as their limits have become more apparent, the need for more sophisticated software has grown.

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 & Machine Vision based Automated Weld Defect Detection for Manufacturing Industry

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.

AIoT and Edge Analytics: a Powerful Combination

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.

How factories Can Build Capacity and Improve Manufacturing Processes with ML

Without making wholesale production changes, factories can improve process efficiency with machine learning (ML). ML can increase production capacity by up to 20% while lowering material consumption rates by 4%.

5 Ways Machine Learning Is Improving Manufacturing

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.

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FLIR Si1-LD - Industrial Acoustic Imaging Camera for Compressed Air Leak Detection

FLIR Si1-LD - Industrial Acoustic Imaging Camera for Compressed Air Leak Detection

The FLIR Si1-LD is an easy-to-use acoustic imaging camera for locating and quantifying pressurized leaks in compressed air systems. This lightweight, one-handed camera is designed to help maintenance, manufacturing, and engineering professionals identify air leaks faster than with traditional methods. Built with a carefully constructed array of MEMS microphones for high sensitivity, the Si1-LD produces a precise acoustic image that visually displays ultrasonic information, even in loud, industrial environments. The acoustic image is overlaid in real time on a digital image, allowing you to accurately pinpoint the source of the sound, with onboard analytics which quantify the losses being incurred. The Si1-LD features a plugin that enables you to import acoustic images to FLIR Thermal Studio suite for offline editing, analysis, and advanced report creation. Field analysis and reporting can also be done using the FLIR Acoustic Camera Viewer cloud service. Transferring of images can be managed via memory stick or USB data cable. Through a regular maintenance routine, the FLIR Si1-LD can help facilities reduce their environmental impact and save money on utility bills.