IPercept’s Post

In manufacturing, understanding the factors leading to past failures is instrumental in bridging existing gaps and developing a solid strategy for future-proofing your business.   One technological advancement helping to gauge the impact of existing processes, systems, and tools, and identify areas for improvement is AI. By employing computer vision and machine learning algorithms, manufacturers can reduce errors, optimise resources, and enhance productivity – but the list of benefits doesn’t end here.   Discover more about the various use cases for AI in manufacturing in Plastics Today 👇   #AI #ArtificialIntelligence #Technology #Innovation #Manufacturing

In manufacturing, understanding the factors leading to past failures is instrumental in bridging existing gaps and developing a solid strategy for future-proofing your business.   One technological advancement helping to gauge the impact of existing processes, systems, and tools, and identify areas for improvement is AI. By employing computer vision and machine learning algorithms, manufacturers can reduce errors, optimise resources, and enhance productivity – but the list of benefits doesn’t end here.   Discover more about the various use cases for AI in manufacturing in Plastics Today 👇   #AI #ArtificialIntelligence #Technology #Innovation #Manufacturing

In manufacturing, understanding the factors leading to past failures is instrumental in bridging existing gaps and developing a solid strategy for future-proofing your business.   One technological advancement helping to gauge the impact of existing processes, systems, and tools, and identify areas for improvement is AI. By employing computer vision and machine learning algorithms, manufacturers can reduce errors, optimise resources, and enhance productivity – but the list of benefits doesn’t end here.   Discover more about the various use cases for AI in manufacturing in Plastics Today 👇   #AI #ArtificialIntelligence #Technology #Innovation #Manufacturing

In manufacturing, understanding the factors leading to past failures is instrumental in bridging existing gaps and developing a solid strategy for future-proofing your business.   One technological advancement helping to gauge the impact of existing processes, systems, and tools, and identify areas for improvement is AI. By employing computer vision and machine learning algorithms, manufacturers can reduce errors, optimise resources, and enhance productivity – but the list of benefits doesn’t end here.   Discover more about the various use cases for AI in manufacturing in Plastics Today 👇   #AI #ArtificialIntelligence #Technology #Innovation #Manufacturing

In manufacturing, understanding the factors leading to past failures is instrumental in bridging existing gaps and developing a solid strategy for future-proofing your business.   One technological advancement helping to gauge the impact of existing processes, systems, and tools, and identify areas for improvement is AI. By employing computer vision and machine learning algorithms, manufacturers can reduce errors, optimise resources, and enhance productivity – but the list of benefits doesn’t end here.   Discover more about the various use cases for AI in manufacturing in Plastics Today 👇   #AI #ArtificialIntelligence #Technology #Innovation #Manufacturing

In manufacturing, understanding the factors leading to past failures is instrumental in bridging existing gaps and developing a solid strategy for future-proofing your business.   One technological advancement helping to gauge the impact of existing processes, systems, and tools, and identify areas for improvement is AI. By employing computer vision and machine learning algorithms, manufacturers can reduce errors, optimise resources, and enhance productivity – but the list of benefits doesn’t end here.   Discover more about the various use cases for AI in manufacturing in Plastics Today 👇   #AI #ArtificialIntelligence #Technology #Innovation #Manufacturing

In manufacturing, understanding the factors leading to past failures is instrumental in bridging existing gaps and developing a solid strategy for future-proofing your business.   One technological advancement helping to gauge the impact of existing processes, systems, and tools, and identify areas for improvement is AI. By employing computer vision and machine learning algorithms, manufacturers can reduce errors, optimise resources, and enhance productivity – but the list of benefits doesn’t end here.   Discover more about the various use cases for AI in manufacturing in Plastics Today 👇   #AI #ArtificialIntelligence #Technology #Innovation #Manufacturing

In manufacturing, understanding the factors leading to past failures is instrumental in bridging existing gaps and developing a solid strategy for future-proofing your business.   One technological advancement helping to gauge the impact of existing processes, systems, and tools, and identify areas for improvement is AI. By employing computer vision and machine learning algorithms, manufacturers can reduce errors, optimise resources, and enhance productivity – but the list of benefits doesn’t end here.   Discover more about the various use cases for AI in manufacturing in Plastics Today 👇   #AI #ArtificialIntelligence #Technology #Innovation #Manufacturing

🔹In manufacturing, understanding the factors leading to past failures is instrumental in bridging existing gaps and developing a solid strategy for future-proofing your business.   🔸One technological advancement helping to gauge the impact of existing processes, systems, and tools, and identify areas for improvement is AI. By employing computer vision and machine learning algorithms, manufacturers can reduce errors, optimise resources, and enhance productivity – but the list of benefits doesn’t end here.   Discover more about the various use cases for AI in manufacturing in Plastics Today 👇   #AI #ArtificialIntelligence #Technology #Innovation #Manufacturing

Another promising article about AI integration in manufacturing. In fact, just yesterday I attended MetalForming Magazine's Live on the Floor webinar and asked the panel what non-robotic automation they are most excited about in the future. The answer was in data reporting as a tool for operations to use in reporting on quality, productivity, and maintenance. Additionally, the installation of cameras around robotic equipment allows for review of faults, a task that AI might one day be able to take on. Stephan Mayer, CEO for Machine Tools at Trumpf expressed the same, emphasizing AI's role in efficient data evaluation, error detection, and production automation. Here are the applications they listed: 1. Preventive Maintenance: AI monitoring machine parameters to predict and notify maintenance needs before failure. 2. Quality Control: AI assisting in the inspection of products via cameras. 3. Report Generation: AI composing various reports based on collected data. 4. Operational Efficiency: AI improving task automation. 5. Unattended Operations: AI determining the feasibility of running parts without human supervision. What AI developments are you looking forward to in your industry? Check out the article here: https://lnkd.in/gc_Wv6_m #AIinManufacturing #IndustrialAutomation #SmartManufacturing #Industry4 #ManufacturingTechnology #OperationalEfficiency #PredictiveMaintenance #QualityControl #InnovationInIndustry #TechTrends