A short flashback on Industry 4.0 (though it is a known subject already) Industry 4.0, also known as the Fourth Industrial Revolution, refers to a new phase in the evolution of industry and manufacturing that is characterized by the integration of digital technologies, automation, data exchange, and Artificial Intelligence (AI) into various aspects of industrial…
Category: Machine Learning
Smart City – Needs for High Performance Computing (HPC) Infrastructure & As-a-Service Models in Smart City Projects
What is High Performance Computing (HPC)? High Performance Computing (HPC) is a practice of aggregating computing power in a way that delivers much higher performance than one could get out of a typical desktop computer or workstation or server. HPC is the ability to process data and perform complex calculations at high speeds. It is…
Smart City – Big Data Analytics
How Big Data relates to Smart-City Solutions? Smart city projects generally use sensors and connected devices to collect and analyze data. This data is used to optimize city operations, manage resources, and improve the everyday life of citizens. Smart cities utilize technology to improve… Access to public transport Manage traffic Optimize water usage and power supply…
Industrial Modern Data Acquisition System (DAS) with Edge, Data Lake and Data Analytics Solution using AWS
Industrial DAS with Edge and Data Lake using AWS Below reference architecture provides a baseline of integrating Bosch’s DeviceBridge DAS (Data Acquisition System) and Indus Visualizer with AWS services, which yields modern industrial IoT solution addressing Connect-Collect-Consume layers to full extent. You must first understand what is DeviceBridge. It is explained below… DeviceBridge is a…
Leveraging capabilities of NLP in manufacturing industries
Let us first try to understand what is NLP? How it relates to AI-ML subject? Natural Language Processing (NLP) is a broad and rapidly evolving segment of today’s emerging digital technologies, often generalized as Artificial Intelligence (AI). Wikipedia defines NLP as “a subfield of AI concerned with the interactions between computers and human (natural) languages,…
Factory robot can learn on its own and improve its efficiency and accuracy overnight. How?
Deep Reinforcement Learning algorithms for Robots These days, Deep Reinforcement Learning algorithms are used in factory robots to make them learning from mistakes on their own without needing to write any new AI/ML program. This way, self learning by Robots is claimed to be happening within overnight. Which means that, after eight hours or so…
Automated visual quality inspection using AI/ML in manufacturing industries that reduces scrap/rework costs
Role of AI/ML in manufacturing to reduce costs associated with scrap and rework In manufacturing, automatic visual quality inspection harnesses the power of AI, IIoT, and image recognition to help manufacturers improve product quality while significantly reducing the costs associated with scrap and rework. Let us first understand what is visual quality inspection in manufacturing?…
How much training data is normally required for developing successful AI/ML based prediction systems?
Training data is the key input for ML algorithms. Having the right quality and quantity of data is very important to get more accurate results. The larger the training data available with you, more accurate the output of ML algorithms when used for real-life predictions. But the question now is; how will you decide how…
How Edge analytics / Edge computing works in manufacturing industries?
Edge computing keeps industries more safe. How? The cloud is not a hard requirement for Industrial IoT. You don´t necessarily need a cloud IoT platform, at least to great extent where you can secure your production & enterprise data that is being exposed to external world. Industry 4.0 is all about connecting machines, so your…