AIoT power management and optimization

AIoT power management and optimization

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Applying Industrial IoT and AI in power measurement and optimization Introduction to Power Measurement with Industrial IoT and AI in Predictive Power ManagementIn today's rapidly evolving industrial landscape, effective power management is crucial for optimizing operational efficiency, reducing costs, and minimizing environmental impact. Traditional methods of power measurement and management often fall short in providing real-time insights, predictive capabilities, and the adaptability needed to address the complexities of modern industrial environments. This is where Industrial Internet of Things (IIoT) and Artificial Intelligence (AI) come into play, revolutionizing the way industries monitor, manage, and optimize their energy consumption.Power Measurement with Industrial IoTThe Industrial Internet of Things (IIoT) refers to the integration of interconnected sensors, devices, and systems within industrial settings, enabling the collection and exchange of vast amounts of data in real time. When applied to power measurement, IIoT allows for the continuous monitoring of electrical parameters—such as voltage, current, power factor, and energy consumption—across various equipment, machinery, and processes.Key benefits of...
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How is Malaysia’s Second Economic Takeoff Connected to Technological Advancements?

How is Malaysia’s Second Economic Takeoff Connected to Technological Advancements?

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"During the 'Jom! Let's Sembang AIoT' session, we kicked off our discussion with topics related to Malaysia's New Industrial Master Plan 2030 (NIMP 2023) and a newly published book by the Deputy Minister of Investment, Trade, and Industry, Mr. Liew Chin Tong.The concept of a 'second takeoff' highlighted in this book caught my attention during one of his interviews with a media outlet, mentioned Mr. CC Lee, the Founding Director of AIOTMission Sdn Bhd, during the live session.Since we have not yet received the book, we’ll wait for its arrival to provide more commentary and insights from its content later. Our primary interest in examining the book is due to the significant factors it presents that are crucial to our economy and closely tied to the adoption of technologies like AI and IoT.To begin, let's take a closer look at the key goals of the NIMP 2030, recently announced by our Prime Minister." Key goals of the NIMP 2030 plugged...
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Industrial Transformation with LLM and AIoT

Industrial Transformation with LLM and AIoT

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Chat GPT and Gemini the top two Gen AI LLM platform Today, we are discussing two major LLM (Large Language Model) Gen AI platforms namely Chat GPT and Google Gemini and their potential to drive industrial transformation in the near future.LLM Gen AI is poised to play a crucial role in various aspects of industrial transformation, particularly in processes that require optimization and improvement. These platforms will be instrumental in data analytics, where machine learning and deep learning AI models are applied.Given the rapid advancements in LLM Gen AI development, it is only a matter of time before these platforms take on the responsibility of seamlessly integrating AI models. This will enable end-to-end solutions, connecting data analytics with LLMs to deliver comprehensive outcomes.  What is industrial Transformation? Industrial transformation refers to the comprehensive process of adopting advanced technologies, digitalization, and new business models to fundamentally change the way industries operate.This transformation aims to enhance efficiency, productivity, flexibility, and sustainability across the value chain....
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Continuous Process Improvement with AIoT OEE Insight Connect

Continuous Process Improvement with AIoT OEE Insight Connect

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AIoT OEE Insight Connect Cloud Dashboard AIoT OEE Insight Connect Cloud Dashboard is part of the OEE Insight Tracking for the production floor with the aim of a screen overview of the OEE ( Overall Equipment Effectiveness) Dashboard that tell the whole story about your  your process. Stack light tracker IIoT Edge GatewayLocal SCADA DashboardAndon Tablet / Down Time Reason Tablet AIoT Edge Connect Cloud Dashboard / On-prem Cloud HubWith all the components listed above it forms a complete and comprehensive OEE Insight Tracker it will provide not only the OEE KPI index but a detailed insight into your process where it includes:-Reasons for Time with intervalType of Rejects within the product 6 Key lossess in the processWhat are the 6 key lossess in the manufacturing process:-The six losses in Overall Equipment Effectiveness (OEE) are the primary sources of waste and inefficiency in manufacturing processes. They are typically categorized into three main groups: Availability Losses, Performance Losses, and Quality Losses.Availability Losses:Unplanned Downtime: This includes unexpected...
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Boosting production efficiency with AIOT OEE Insight Connect

Boosting production efficiency with AIOT OEE Insight Connect

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Boosting Manufacturing Efficiency with AIOT OEE Insight Connect In this episode of live sharing on the 26th of July 2024, we delved deeper into boosting efficiency with OEE Tracking in manufacturing. This discussion builds on AIOTmission's recent participation with Axiomtek Malaysia in a mini exhibition hosted by a local automotive manufacturer. At the event, we showcased three key technologies:Industrial IoTIndustrial AIAutonomous Mobile Robots (AMR)Interestingly, during the three-day exhibition, all participants were required to wear hats at all times, which led to the introduction of the "Black Cap." Mini Exhibition at the Local Automotive Manufacturer What is OEE? Where is it originated ? Some background about OEE ( Overall Equipment Effectiveness):-Overall Equipment Effectiveness (OEE) is a key performance indicator used to measure the efficiency and effectiveness of manufacturing processes. It provides a comprehensive view of how well a manufacturing operation is performing by tracking three critical aspects:Availability: This measures the percentage of scheduled production time that the equipment is actually up and running.Performance: This evaluates the speed...
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Integrating AI object detection with Manufacturing MES

Integrating AI object detection with Manufacturing MES

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Highlights from the July 5th, 2024 Live Session: Integrating MES with Computer Vision AIDuring our live session on July 5th, 2024, we explored the critical integration of Manufacturing Execution Systems (MES) with computer vision AI. We highlighted AIOT AIS CONNECT as a leading computer vision solution, known for its flexibility in data exchange with external software through open protocols like Web API and MQTT.In the rapidly evolving landscape of manufacturing, the integration of advanced technologies is reshaping the industry. At the forefront of this transformation is the Manufacturing Execution System (MES), a pivotal tool that streamlines production processes and enhances efficiency. Coupled with AI-driven computer vision, MES is ushering in a new era of smart factories. Let's delve into the key functions of MES and explore why computer vision AI is so crucial in this context.Key Functions of MES: The Backbone of Modern ManufacturingProduction Scheduling:MES excels in planning and scheduling production processes, ensuring optimal use of resources and timely product...
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Pose Estimation AI application in Smart Factories

Pose Estimation AI application in Smart Factories

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Pose estimation AI is like a super-smart computer program that can look at a picture or a video and figure out how a person or an object is positioned. Imagine it like this:Seeing People and Objects: The AI looks at an image or video and "sees" where people or objects are.Finding Key Points: It identifies key points, like the joints on a human body (shoulders, elbows, knees) or important parts of an object.Connecting the Dots: It connects these points to understand the overall pose or position. For a person, it would look like a stick figure showing how they're standing, sitting, or moving.It's like giving the computer eyes and a brain to understand and track how things are positioned and moving in a scene. This technology is used in things like video games, fitness apps, and even for improving safety in workplaces. During the Sembang AIOT live session this round we were sharing and discussed more about the Pose Estimation AI...
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5G RedCap and its impact on AI and IoT applications

5G RedCap and its impact on AI and IoT applications

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5G RedCap Talk over " Sembang AIOT" In this session, We shared the subset of 5G which is designed for the IoT, the 5G RedCap. There are a few key areas touched on in this subject. Why 5G RedCap? Area of applications? and also the NB IOT (Narrowband IOT) vs 5G RedCap.5G Reduced Capability, or 5G RedCap, is a new subset of 5G technology introduced by the 3rd Generation Partnership Project (3GPP) in Release 17. Also known as 5G NR-Light, it is designed to cater to IoT applications that require a balance between performance and cost-effectiveness. This includes applications that do not need the full capabilities of traditional 5G, such as high bandwidth and ultra-low latency, but still benefit from faster data rates and improved efficiency compared to 4G and other LPWA (Low Power Wide Area) technologies.Origin and Development5G RedCap originated from the need to address use cases falling between the high-speed, high-capacity demands of enhanced Mobile Broadband (eMBB) and...
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On-premise LLM vs Cloud LLM

On-premise LLM vs Cloud LLM

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AI and computing power have become highly dynamic, with applications spreading across various sectors and industries. It's a great time to discuss whether LLM servers or services should be on-premise or cloud-based. Let's dive into this topic on "Sembang AIoT"!An LLM, or Large Language Model, in AI is like a very advanced, super-smart robot that can read, understand, and write human language. Here’s a simpler way to explain it:Smart Robot Brain: Think of an LLM as a brainy robot that has read millions of books, articles, and websites. It has learned a lot about how people talk and write.Text Generation: This robot can help you write. If you give it a few words or a topic, it can create stories, essays, or even chat with you like a human would.Answering Questions: You can ask it questions about almost anything, and it will try to give you a helpful answer based on what it has learned.Translation: If you need to translate...
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From AI to Generative AI

From AI to Generative AI

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The "SemBang AIoT" live session began with an introduction to Generative AI, followed by an in-depth exploration of computer vision. It highlighted how deep learning is becoming mainstream in AI, from which Generative AI has also emerged. In the session, Kien Leong shared some history about the Deep learning AI that drove the computer vision in the past and it is closely related to the ImageNet.  ImageNet is a large-scale visual database designed for use in visual object recognition research. It was created and maintained by researchers at Princeton University, Stanford University, and the University of North Carolina, Chapel Hill. Here are some key points about ImageNet:Scale and Scope: ImageNet contains more than 14 million images, each annotated with labels identifying the objects present. These images span over 20,000 categories, which are organized according to the WordNet hierarchy.Use in Competitions: ImageNet is famously known for the ImageNet Large Scale Visual Recognition Challenge (ILSVRC), an annual competition where research teams submit algorithms...
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