Bench Talk

Predictive Maintenance vs. Predictive Resolution

On August 5, 2024 in All, Computing, General, Industrial, Robotics, Sensors by Poornima Apte

Predictive maintenance prevents equipment failures using data-driven insights. The evolution to predictive resolution goes further by suggesting real-time fixes for inefficiencies across business operations, from supply chains to worker scheduling, ensuring smoother manufacturing processes.

Connecting Industry and Automation in a Completely New Way

On June 14, 2024 in All, Automation, Computing, General, Industrial, Power by Phoenix Contact

Discover how SPE redefines the rules of connectivity, meets demanding transmission rates, and supports a wide range of applications previously restricted by limitations in data rate, range, and seamless communication.

The Evolution from Industry 4.0 to Industry 5.0

On June 6, 2024 in All, General, Industrial by Hector Barresi

Expanding the concept of Industry 4.0, Industry 5.0 creates opportunities for more sustainable and resilient manufacturing, bio-inspired technologies, safer working conditions, and enhanced global supply chain operations by leveraging technological innovations and human intelligence.

Adapting Ethernet to Accelerate Industry 4.0

On May 19, 2023 in All, Automation, General, Industrial, IoT, Robotics, Sensors by Steven Keeping

Industry 4.0 promises to revolutionize the factory through smart technology. Yet it can be expensive to install, scale, and maintain. A new form of Industrial Ethernet, using single twisted pair cables, promises to cut costs and ease installation while also promising interoperability across design, procurement, and manufacture.

New Tech Tuesdays: Amphenol IP67 Connectors and Cable Assemblies Can Lead to Lower Automation Costs

On September 6, 2022 in All, Automation, Connectors, General, Industrial, New Tech Tuesdays, Robotics, Sensors by Tommy Cummings

In this week’s New Tech Tuesday, we’ll look at Amphenol Communications Solutions’ IP67 Connectors and Cable Assemblies and their value to smart factories when it comes to machine-to-machine communications, robotics, and automation.

How to Achieve Deep Learning Automation in Smart Factories?

On July 21, 2022 in All, Automation, General, Industrial, IoT by Adam Kimmel

Robotics revolutionized factories. Today, deep learning, connected devices, IoT, and 5G are doing the same. Learn how to embrace industry 4.0.

Tagged With: automation, deep learning, industry 4.0, iot, robotics, smart factory

Rugged Miniaturization and the IIoT

On February 25, 2022 in All, Automation, Industrial, IoT by TE Connectivity

As technology continues to evolve, manufacturing finds itself in a shift towards miniaturization. The drive is to make things smaller and more powerful. TE Connectivity provides miniaturized connectors that save space on the PCB without sacrificing the performance of their classical counterparts.

Deploying Edge-Based AI Using the Kria SoM

On September 24, 2021 in All, Automation, Industrial by Adam Taylor

Production lines are fast-paced environments. Automated inspection equipment needs to process and make decisions without slowing the production line. This is where tools such as the Xilinx Kria SoM can help.

Tagged With: adaptive som, industry 4.0, Kria SoM, machine learning, som, Vitis AI, Xilinx

How Being Bold Brings Smart Automation Solutions

On January 21, 2021 in All, Automation, Industrial, IoT, Sensors, Wireless by Jeff DeAngelis

Industry 4.0 smart factories require design attention to realize smarter, faster, and lower power solutions. The most successful companies set themselves apart through a bold approach in executing their smart automation strategy. In this post, we will present an example.

Industry 4.0 Supported by Machine Learning

On November 24, 2020 in All, EIT 2020: The Intelligent Revolution, Industrial by Wang Dongang

Machine learning and data are expected to play a key role in the development of Industry 4.0. Industry 4.0, which will combine industrialization and digitization, will bring new opportunities and challenges for large corporations and SMEs.

Tagged With: data, digitization, industrialization, industry 4.0, machine learning, ml

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