How IoT Will Elevate 8 Types of Equipment in 2023
A rising global population means a higher demand for goods and services. Companies find ways to increase production and quality control, such as through the Internet of Things.
Raising the Roof (on Network Capacity) - New "Indoor Backhaul" System to Help Meet Rapidly-Growing Bandwidth Requirements for IIoT Applications
Wireless backhaul systems operating in the 60 GHz "millimeter wave" band that can connect through walls and "beam steer" around corners are now available.
Robotics In Manufacturing: Threat or Opportunity?
The use of robotics in manufacturing has grown consistently over the past decade. A recent report from the Association for Advancing Automation revealed that North America saw a record in robot sales in 2022, with the number of robots ordered up 11% from the previous year.
It's All Connected: Care, Collaboration, and the Cloud
When it comes to MedTech, data is the gamechanger. Whether it is patient outcomes or manufacturing excellence, data holds the key to a new era in manufacturing - and with it, the Cloud. It is the future of MedTech.
Could Energy-Harvesting Technology Power IoT Devices of the Future?
It's particularly challenging to be too reliant on battery-powered IoT devices in industries like manufacturing and logistics. Many factories now have 24/7 operations, meaning there are no feasible downtime periods for recharging.
Understanding the Role of Machine Vision in Industry 4.0
Today it is being applied to diverse areas such as monitoring processes for predictive maintenance, and robotic guidance that makes it possible for robots to safely work with and respond to human interactions.
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.
5 Ways You Can Improve Your Manufacturing Operations with a Data-First Strategy
By going digital and adopting a data-first strategy, manufacturing leaders can transform their operations and better prepare themselves for the future.
Ten tips for modernising your HMI/SCADA system
Ageing industrial infrastructure can make it difficult to meet daily challenges for industrial plants and manufacturing companies. Fortunately, there are cost-effective ways to solve these challenges.
How Effective Recycling Practices Can Impact the Redistribution of Global Resources and Wealth
The next leap forward in sustainability is going to be reclaiming the resources contained within the garbage and providing feedstock back into the manufacturing process.
MICRO MOLDING - PLACE THE FOCUS ON OUTCOMES
You need to understand what micro molding can do in terms of stimulation of innovation, what it can deliver in terms of manufacturing efficiency, and what - above all - it can do to achieve increased functionality in parts that are often required to be smaller and smaller
Preparing Your Manufacturing Business for Uncertain Economic Conditions
It's important to focus on formulating and executing a plan that will allow your business to grow and thrive. This is an ideal time to beef up your defense mechanisms and increase your foothold in the marketplace and capture a larger share of market opportunities
Patti Engineering and Kettering University Collaborate on Industry 4.0-Enabled Collaborative Robotic Cell for Real-World Learning
Patti Engineering and Kettering University collaborate to create an Industry 4.0-enabled collaborative robotic cell for a new classroom lab to teach engineering and computer science students.
INVENTEC COLLABORATES WITH MICROSOFT TO DELIVER SMART FACTORY SOLUTIONS ON MICROSOFT AZURE PRIVATE 5G CORE
The solutions integrate Inventec's 5G private network solutions, NEXCOM's top notch AIoT (AI + IoT) Industry 4.0 cross-border integration systems and solutions, and Microsoft HoloLens to build smart factories.
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.
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