The most successful manufacturers can predict problems before they arise. How? It’s all thanks to digital twin technology, one of the primary ways these businesses are becoming disruption-proof. Learn more in episode 34 of Built for Change: https://accntu.re/4dkdoZp #BuiltForChange [Video Description: The phrase “Digital twins” appears rendered in blueprint markings against a white background. Supplementary text appears beneath it as line encircles the whole sentence. Text continues: …are virtual representations of physical objects or processes. The circle fills in with an image of a microchip. Text explains: They can digitally recreate things as small as particles in a microchip… The circle splits into two circles akin to cells in mitosis, with the circle on the right rendered in blue to denote its digital nature, and the circle on the right in full color. The circles swap places. A real-life factor with a conveyor belt and assembly robots on the left, with its digital counterpart on the right. Text continues: …as large as a manufacturing facility… The circles come back together again to form one circle. Multiple other circles appear, rotating around the central circle. They are filled with icons representing different parts of a supply chain, such as factories, users, and transportation. Text concludes: …and even as abstract as entire supply chains.]
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The most successful manufacturers can predict problems before they arise. How? It’s all thanks to digital twin technology, one of the primary ways these businesses are becoming disruption-proof. Learn more in episode 34 of Built for Change: https://accntu.re/3QM5Qp9 #BuiltForChange #DigitalTwin
The most successful manufacturers can predict problems before they arise. How? It’s all thanks to digital twin technology, one of the primary ways these businesses are becoming disruption-proof. Learn more in episode 34 of Built for Change: https://accntu.re/3xThkjO #BuiltForChange [Video Description: The phrase “Digital twins” appears rendered in blueprint markings against a white background. Supplementary text appears beneath it as line encircles the whole sentence. Text continues: …are virtual representations of physical objects or processes. The circle fills in with an image of a microchip. Text explains: They can digitally recreate things as small as particles in a microchip… The circle splits into two circles akin to cells in mitosis, with the circle on the right rendered in blue to denote its digital nature, and the circle on the right in full color. The circles swap places. A real-life factor with a conveyor belt and assembly robots on the left, with its digital counterpart on the right. Text continues: …as large as a manufacturing facility… The circles come back together again to form one circle. Multiple other circles appear, rotating around the central circle. They are filled with icons representing different parts of a supply chain, such as factories, users, and transportation. Text concludes: …and even as abstract as entire supply chains.]
Built for Change: Episode 34
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The most successful manufacturers can predict problems before they arise. How? It’s all thanks to digital twin technology, one of the primary ways these businesses are becoming disruption-proof. Learn more in episode 34 of Built for Change: https://accntu.re/3xThkjO #BuiltForChange [Video Description: The phrase “Digital twins” appears rendered in blueprint markings against a white background. Supplementary text appears beneath it as line encircles the whole sentence. Text continues: …are virtual representations of physical objects or processes. The circle fills in with an image of a microchip. Text explains: They can digitally recreate things as small as particles in a microchip… The circle splits into two circles akin to cells in mitosis, with the circle on the right rendered in blue to denote its digital nature, and the circle on the right in full color. The circles swap places. A real-life factor with a conveyor belt and assembly robots on the left, with its digital counterpart on the right. Text continues: …as large as a manufacturing facility… The circles come back together again to form one circle. Multiple other circles appear, rotating around the central circle. They are filled with icons representing different parts of a supply chain, such as factories, users, and transportation. Text concludes: …and even as abstract as entire supply chains.]
Built for Change: Episode 34
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🚀 Exciting News from ANTICIPATE! 🚀 We're thrilled to share our latest innovation that's set to redefine manufacturing standards in the electronics industry. Dive into our newest blog article, "Empowering Precision: AI-Vision in Real-Time Component Checks for Electrical Toys Manufacturing," where we unveil the cutting-edge technology driving us towards the vision of Zero Defect Manufacturing. 🔍 Through the integration of AI-Vision and real-time component checks, we're not just enhancing the efficiency and safety of the assembly process; we're revolutionizing it. 👉 Read more about how this technology is crucial for assembling electrical products with unmatched precision and safety, ensuring compliance with the highest industry standards: https://lnkd.in/egX82N5a Let's shape the future together! Join us in this exciting journey towards manufacturing excellence. 🌟 #Innovation #ManufacturingExcellence #Electronics #AI #ZeroDefectManufacturing #QualityControl #FutureOfManufacturing
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AI has the potential to transform the automotive industry, enabling advanced software-defined vehicles. But AI also brings challenges, such as increased power consumption, design complexity, and processing performance requirements. This week, IBM and Honda announced their intent to collaborate on the joint research and development of new semiconductor technology and software to address these challenges and enable software-defined vehicles of the future. Read more here: https://ibm.co/3K3YLwe
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🔍 Transforming Manufacturing: The $17.4 Billion Vision Revolution Picture a world where machines have eyes that never blink, catching the tiniest flaws invisible to humans. This isn't science fiction—it's the reality of computer vision in manufacturing, and it's reshaping industries. Global computer vision market is set to reach $17.4 billion by 2026, growing at 7% annually Unprecedented accuracy: AI-powered systems detect defects human eyes miss Productivity boost: One manufacturer saw OEE jump from 78% to 87% post-implementation Cost-savings: Reduced labor costs, minimized errors, and decreased waste Real-world impact: Automotive, electronics, and packaging industries seeing transformative results From spotting microscopic defects on car surfaces to ensuring flawless circuit board assembly, computer vision is ushering in a new era of quality control. As companies embrace this technology, they are not just improving products—they are redefining what's possible in manufacturing. We at Jet Ventures strongly believe in machine vision as the next big thing in quality control in industrial applications. One question remains: Will Central Europe with its industrial tradition see the next Unicorn in this field? #ComputerVision #ManufacturingInnovation #QualityControl #IndustryRevolution #JetVentures
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AI is helping the manufacturing industry modernize faster! Read our blog to learn how Lenovo and NVIDIA can help you jumpstart your manufacturing modernization process today. #ConnectionManufacturing
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Exciting to see the evolution of AI in manufacturing! The average monthly workforce growth may have slowed, but AI is stepping in to enhance production and quality control. Overcoming obstacles is key. Establishing in-house technology teams and preparing for challenges like failure, accuracy concerns, and cyber liability are crucial steps. But the potential benefits—reducing manufacturing claims and enhancing worker safety—are significant. This is why it is CRUCIAL to have a strategic partnership with your risk management team! #2024outlook #ManufacturingExcellence #StrategicPartnership #RiskManagment
The manufacturing industry is expanding its use of AI-related technology, with tools such as digital twins, cobots and virtual reality. Learn how this innovative technology can benefit your business. Read here: http://ms.spr.ly/6046iQvGQ
Implementing Artificial Intelligence on Manufacturing Floors
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Business Systems Consultant in M&A | at Progressive Insurance Cloud Made Simply ☁️☁️🪞| Big Data 🙇♂️🌅🪞🛰️☀️ #SolutionEngineering #Consultant #Dataengineering #EnterpriseArchitect #AlgorithmEngineer
Mixed realities, great to see how ML/AI can be used to assist with supply chain. #AI #Tech #ML #Systems #Omniverse #digitaltwins #Siliconvalley #Commerce
NVIDIA Omniverse is providing cost-effective solutions for supply chain management with #digitaltwins. Experience real-time testing and refinement of complex #AI within a warehouse simulation and unlock the future of industrial automation.
Fusing Real-Time AI With Digital Twins
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AI is helping the manufacturing industry modernize faster! Read our blog to learn how Lenovo and NVIDIA can help you jumpstart your manufacturing modernization process today. #ConnectionManufacturing
Leveraging Advanced Technologies to Modernize Manufacturing
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Cutting-Edge Computer Vision and Edge AI Solutions | AI/ML Expert | GENAI | Product Innovator | Strategic Leader
Innovations in Manufacturing! Object Detection and Tracking for Manufacturing! The cutting-edge solution utilizes high-speed conveyors at a staggering 100 meters per second. Key Features: 1. Real-time Precision: Our Object Detection system, powered by RealSense cameras, ensures real-time, high-precision tracking. 2. Edge Computing: Experience seamless processing with Edge computing, optimizing speed and efficiency. 3. Unmatched Accuracy: Detect, track, and analyze objects with unparalleled accuracy, enhancing production workflows. 4. Scalability: The solution scales effortlessly to adapt to varying production speeds and conveyor lengths. 5. Tosibox Integration: Tosibox technology brings a secure and robust connectivity solution, making the manufacturing process efficient and highly secure. Benefits: 1. Increased Efficiency: Boost your manufacturing process by minimizing delays and optimizing resource utilization. 2. Cost-effective: Edge computing reduces the need for extensive server infrastructure, expensive camera systems translating to cost savings. 3. Enhanced Safety: Real-time tracking ensures a safer working environment by promptly identifying and addressing potential hazards. 4. Adaptability: The solution adapts to different manufacturing setups, making it versatile for diverse industries. 5. Data Insights: Gain valuable insights into production trends and patterns, facilitating data-driven decision-making. Ready to Elevate Your Manufacturing? Connect with ME! Drop me a message to explore how innovative solutions can transform your operations. Schedule a consultation to discuss personalized integration into your manufacturing environment. Join me in revolutionizing the future of manufacturing with innovation, efficiency, and a touch of excitement! The next video will show the depth stream with the color stream. #ManufacturingInnovation #ObjectDetection #EdgeComputing #RealSense #TechInnovation #computervision #edgecomputing #businessleads #techmanagers #Automation #TechnologyInAction #Industry4_0 #techtalk #CTO #CEO #executives #digitaltransformation #innovationtech #SmartManufacturing #RealSense #Directors #BusinessLeadership #Automation #edgeai Intel Corporation Roboflow NVIDIA Dragos Stan, Muhammad Rizwan Munawar, Ritesh Kanjee, Molson Coors Beverage Company, Jeff Garrison CSPO, Joel Nadar,Animeshkumar Nayak, Harpreet Sahota 🥑,Toyota Motor Corporation, General Mills, Foxconn, 3M, Ford Motor Company, Campbell's, Nike, Boeing, The Coca-Cola Company, Lockheed Martin, Caterpillar Inc., IBM, Dell Technologies, Pfizer, Sprecher Brewery, Keiding, Inc.
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