Hosting IoT sensor data on OPCUA Server and presenting AI data

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/*! elementor - v3.16.0 - 20-09-2023 */ .elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}Presenting vision AI data and Hosting IIoT sensor data with OPCUA SERVER /*! elementor - v3.16.0 - 20-09-2023 */ .elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=".svg"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block} Welcome to the 19th episode of our thrilling AIoT Live Series! We're not just discussing AIoT - we're bringing it to life with real-world demonstrations and insights. Witness firsthand how AIoT can amplify your projects. In our latest session, we delved deep into Vision AI techniques. We showcased how AI extracts data from images and the captivating ways in which this data is interpreted and presented. Wondering how the AI engine displays results? Here's a sneak peek: 🖼 Annotations directly on images/videos.📝 Textual descriptions or captions.🎧 Audible outputs. These are the basics of AI data representation. As a real-world example, consider a moving vehicle on a road. Curious about identifying the object, its size, or tracking its identity? The AI engine has got it all sorted, once the right model is...
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AIoT in workspace safety and sensor integration

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/*! elementor - v3.16.0 - 20-09-2023 */ .elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=".svg"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block} The "Sembang AIoT 18" sharing session began with a deep dive into AI model-building essentials. Kien Leong emphasized the significance of Dataset augmentation in the realm of computer vision AI. Reflecting on the Axiomtek AIS (AI suite) utilized at Plug Fest II, this suite was an integral part of the training initiative by the Malaysia Productivity Centre and EEPN. A key feature of the AIS was its Dataset augmentation capability. This enabled the raw dataset to undergo an augmentation process, essentially scrambling and transforming the data to better train the AI model, enabling it to deeply learn various appearances and combinations. Additionally, we showcased a brief demonstration of computer vision AI focusing on workspace safety. This AI was adept at monitoring compliance factors like the wearing of helmets, vests, and more. The AI system ran on one of Axiomtek's AI edge/IPC platforms. A major part of our discussion revolved around the challenges faced, emphasizing...
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AIOT sensor to Cloud and data analytic

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AIoT sensors to Cloud & Data Analytic In manufacturing, numerous processes necessitate controlled heating, underscoring the paramount importance of accurate temperature measurement. Processes such as metal forging, welding, boiling, pasteurization, drying, and many others demand meticulous temperature regulation to guarantee superior product quality.What are the principal sensors utilized for temperature measurement? Furthermore, which IIoT devices facilitate the digitization of these readings for enhanced monitoring and control? Which tools offer optimal visualization coupled with robust data analytics at the cloud level? These critical topics were the focal points of our recent "Sembang AioT session." This discussion aimed to shed light on essential temperature-measuring instruments and advanced IIoT devices, underlining their significance in ensuring precise temperature control and, consequently, contributing to the production of high-caliber products. There are three types of temperature sensors that are widely used in industries. 1. Thermocouples (TCs):Working Principle: Based on the Seebeck effect, where a voltage is produced when two different metals are joined together and the junction is heated.Application:...
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Smart Nation Expo 2023 AIOT demonstration

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In collaboration with Axiomtek Malaysia at the Smart Nation 2023 Expo, we presented live demos featuring the most recent advancements in Industrial Internet of Things (IIoT) and Artificial Intelligence (AI). Our additional endeavors include investigating, studying, and exploring AI and IIoT sensors, which enable us to integrate AIoT into a variety of industrial applicationsAIoTmission took this opportunity to create several case studies and actual applications in the industries. Starting with Vision AI on supervised and unsupervised Deep learning application in object detection and anomaly detection in quality control. It is then followed by the industrial IoT computing platforms such as IIoT edge gateway and edge HMI that established a data collection and communication layer of the OT ( Operation Technology) in the industrial IoT eco system.In the Live sharing ” Jom! Lets Sembang AIoT” , We did a recap of all the demo kits that we showed in the expo. Mr. CC Lee, shared some of the sensors relating to measurement such as Ultrasonic...
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AIoT smart manufacturing for SME

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While "sembang AIoT" We celebrate Malaysia Day Challenges with SME in the implementing Smart Manufacturing This weekly live session, we shared some challenges faced by the SME in the IR4 journey and solutions to it followed by Vision AI application in a non intrusive analogue meter reading where in some cases, this solution is needed with least man power involvement and less error created by the human in the data collection.Industry 4.0 (IR4) represents the Fourth Industrial Revolution, characterized by a range of new technologies, including the Internet of Things (IoT), artificial intelligence (AI), robotics, augmented reality, and more. While these technologies have the potential to transform manufacturing processes, SME (Small and Medium-sized Enterprises) manufacturers face specific challenges in their IR4 journey:High Initial Investment: Deploying state-of-the-art technologies often requires significant financial outlay, which can be prohibitive for SMEs. This includes the costs of acquiring, installing, and maintaining new machinery and software.Skills and Expertise: Implementing and maintaining IR4 technologies require specialized skills. SMEs may...
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Progression from 1G to 5G Impacts AIoT Applications in Industries

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Progression of 1G to 5G mobile network that impacts the AIOT implementation in the industry. This week's live discussion offers a unique conversation, or 'sembang,' exploring the transformative journey of mobile networks from 1G to 5G. We delved into how these advancements in mobile communications have profoundly impacted applications of AIoT across various industries. Additionally, we touched on Malaysia's NEW INDUSTRIAL MASTER PLAN 2030 (NIMP2030). Manufacturing continues to serve as a pivotal growth catalyst for Malaysia. With its significant contribution to the nation's economy, NIMP 2030 has been designed to elevate industrial capabilities to new heights. The plan is centered around key missions and enablers. Missions: Elevating Economic ComplexityPaving the Way for a Digitally Vibrant NationStriving for Net Zero EmissionsEnsuring Economic Security and Inclusivity Enablers: Mobilizing a Robust Financing EcosystemEncouraging Talent Development and AttractionStreamlining the Investor Journey for Business EaseImplementing a Nationwide Governance Framework At Sine AIoTmission, our focus lies in fostering innovation and technological development in the realms of Industrial Internet of Things (IIoT) and Artificial Intelligence...
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Integrating Industrial IoT and AI for optimal fourth industry revolution performance

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Integrating AI and IoT for optimal IR4.0 performance This session of ” Sembang AIoT” talk more about the integrating IIoT and AI for optimal performance of industry 4.0 performance.while IR4 principles lay the foundation for a connected, transparent, and autonomous industrial environment, it is the integration of AI and IoT that actualizes and optimizes these principles to achieve the full potential of Industry 4.0.Industry 4.0 (IR4) is the current trend of automation and data exchange in manufacturing technologies, encompassing cyber-physical systems, the Internet of Things (IoT), cloud computing, and cognitive computing. Here are the four main design principles of Industry 4.0:Interconnection DecentralizationData TransparencyTechnical AssistantThe four fundamental design principles provide a clear framework for Industry 4.0’s goals and future direction. Interconnection and Information Transparency are intrinsically linked to the Internet of Things (IoT), emphasizing the significance of connectivity. Data collected from sensors, machines, and controllers necessitates the use of IoT devices to maintain continuous connection and facilitate real-time data transfer to the cloud....
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Industrial IoT in-band services for gateway management

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Industrial IoT device in-band services for Terminal Management In our 12th session of "Let's Sembang AIoT," we delve deep into the significance of Terminal Management Services for successful Industrial IoT (IIoT) deployment. Given the diverse landscape of IIoT, edge gateways are strategically placed in remote locations, each with its unique connectivity—some leverage local broadband while others rely on mobile networks like 4G or LTE. Ensuring uninterrupted operations is paramount, and this is where Remote Management Services shine. They play a pivotal role in maintaining the optimal condition of these gateways and guaranteeing continuous, crucial data acquisition. When deploying with Axiomtek's IIoT edge gateway, Axiomtek provides two comprehensive in-band services. These services enable real-time monitoring of the gateway's condition and health metrics, including CPU temperature, system temperature, power supply voltages to vital components like the CPU and chipset, and event logs for peripherals. This data is effortlessly captured using the Redfish agent, which offers REST-API in JSON format, or the Think Board agent that...
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Predictive Maintenance with AIoT

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Live sharing on Predictive Maintenance with AIoT During the live sharing on the Predictive Maintenance with AI and Industrial IoT, Tan Kien Leong has started with the brief introduction of how the maintenance process was carried out in the past and what are the limitation with the process of maintenance being performed in the old days. One of the recently practiced  preventive maintenance is used to make a comparison to the newly introduced Prediction Maintenance. Preventive maintenance (PM) and predictive maintenance (PdM) are both proactive approaches to maintaining equipment and systems, but they differ in methodology, technology, and application. Here are the main differences between the two: Preventive maintenance (PM) and predictive maintenance (PdM) are both proactive approaches to maintaining equipment and systems, but they differ in methodology, technology, and application. Here are the main differences between the two: Definition: Preventive Maintenance (PM): Maintenance activities are performed at predetermined intervals or according to prescribed criteria, regardless of the actual condition of the equipment....
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AIoT Smart manufacturing OEE SCADA Cloud integration

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Smart Manufacturing OEE SCADA and Cloud Integration The 10th session of the "Let's Sembang AIoT" series commenced with a unique presentation by Mr. CC Lee. He discussed older processors with legacy, ranging from the 8088, 80286, 80386, 80486, and 80586 to the Pentium, all of which were prevalent from the early 1990s to the late 1990s. This era saw significant contributions from major players like Intel, AMD, and VIA.During this period, substantial efforts were dedicated to enhancing the capabilities of computers and industrial PCs for automation purposes, often referred to as IPC-based automation. Notably, two devices, namely PCI (Programmable Communication Interface) and PPI (Programmable Peripheral Interface), played a pivotal role in establishing input and output peripherals for computers. The PPI was also utilized in certain IO blocks on the ISA BUS, conforming to the PC104 standards. This concept catalyzed numerous automation processes implemented on both personal computers and industrial PCs. It's important to note that these advancements occurred within the context...
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