This video demonstrates an AI application for automated defect detection. Using machine learning and computer vision, it identifies issues like cracks in concrete, enabling precise quality control and reducing manual inspection efforts.
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Did you know that 70% of manufacturers still rely on manual visual inspections for quality control? This can lead to inconsistencies, fatigue-related errors, and ultimately, missed defects. Say goodbye to these challenges with the power of computer vision technology. Leveraging advanced deep learning, computer vision inspects both raw materials and finished products with extraordinary precision, outpacing the limitations of manual checks. It swiftly detects defects, ensuring that only top-quality items move forward in production. For example, it can identify incorrect dimensions in raw materials before they cause downstream issues. InovarTech's AI Vision Quality Control Inspection, VisionGuard AI is designed to revolutionize your quality assurance processes. By utilizing cutting-edge AI technology, it offers advanced features like anomaly detection, video summarization, and proactive alerts. This comprehensive solution not only enhances precision but also significantly reduces human error, helping you maintain the highest standards of quality and security. Discover more about how it can transform your production processes at - https://lnkd.in/dPxjChCM. #InovarTech #VisionGuardAI #ComputerVision #QualityControl #Manufacturing #SmartManufacturing
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Senior Engineer @ Arnold NextG GmbH | PhD (DL & Autonomous Driving) @ UAH | IEEE ITS Best PhD Dissertation Award 2024
Great words from Pablo Bartolomé Molina about how to integrate Machine Learning in critical applications (ISO 26262, Autosar, MLAB, ASIL-D). Research is mandatory in the automotive industry to plan your roadmap for the next years and gain a competitive advantage over your competitors in the market. Don't put off until tomorrow what you can start researching today 😉. #softwareintegration #iso26262 #machinelearning
SW Developer/Integrator - Child Presence Detection (CPD) with UWB technology | Automotive | ISO2626 | Safety | AUTOSAR
With the increment of AI applications, it’s important to consider the implications of its use for safety applications, like in the automotive industry. While looking for some solutions and recommendations I found an interesting paper focused on Machine Learning and the #ISO26262, "𝐀𝐧 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 𝐨𝐟 𝐈𝐒𝐎 𝟐𝟔𝟐𝟔𝟐: 𝐔𝐬𝐢𝐧𝐠 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐒𝐚𝐟𝐞𝐥𝐲 𝐢𝐧 𝐀𝐮𝐭𝐨𝐦𝐨𝐭𝐢𝐯𝐞 𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞," authored by Rick Salay, Rodrigo Queiroz, and Krzysztof Czarnecki from the University of Waterloo. They give some recommendations on adapting ISO 26262 to better accommodate ML, focusing on: 1. Identifying new types of hazards introduced by ML. 2. Understanding faults and failure modes specific to ML. 3. The importance of using comprehensive training sets. 4. Addressing non-transparency and error rates in ML models. 5. Ensuring robustness in ML-based systems. 🔷 What are your thoughts on the recommendations provided in this paper? 🔷 Do you use some #ML or #AI in your automotive SW? How do you ensure it’s in line with ISO26262? #AutomotiveSafety #MachineLearning #ArtificialIntelligence #ADAS #AutonomousVehicles #SafetyStandards #Innovation #AutomotiveIndustry #SWDevelopment
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Our latest interactive explores the use cases of Generative AI with the highest potential in the machinery & equipment industry.
How Can AI Be Used in Machinery & Equipment?
bain.com
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Our latest interactive explores the use cases of Generative AI with the highest potential in the machinery & equipment industry.
How Can AI Be Used in Machinery & Equipment?
bain.com
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Our latest interactive explores the use cases of Generative AI with the highest potential in the machinery & equipment industry.
How Can AI Be Used in Machinery & Equipment?
bain.com
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Our latest interactive explores the use cases of Generative AI with the highest potential in the machinery & equipment industry.
How Can AI Be Used in Machinery & Equipment?
bain.com
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Imagine a world where industrial parts can be repaired faster, smarter, and more affordably. With AI-driven image processing and machine learning, that world is here. AI is transforming industrial maintenance by remotely diagnosing and recommending solutions, saving time, reducing costs, and increasing repair accuracy. The future of industrial repair is AI-powered, and it’s revolutionizing how industries maintain their operations. Let's embrace the change and push the boundaries of innovation in repair processes. #AIinIndustry #IndustrialInnovation #TapesticSolutions #AIRepair #BrazingTechnology
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Our latest interactive explores the use cases of Generative AI with the highest potential in the machinery & equipment industry.
How Can AI Be Used in Machinery & Equipment?
bain.com
-
Our latest interactive explores the use cases of Generative AI with the highest potential in the machinery & equipment industry.
How Can AI Be Used in Machinery & Equipment?
bain.com
