AI and its technologies in manufacturing.pptx

AL and its technologies in manufacturing

1. Application of AI and group technologies in manufacturing Shaik Ameer malik, phd scholar, 421me0004

2. Industrial 4.0 Source: www.i-scoop.eu Tomorrow’s Factory Today’s Factory

3. Industrial 4.0 technologies Source: What is Industry 4.0? | Tulip

4. to make the computers perform things that humans can do better at the moment. It’s a way to simulate human intelligence processes by computers. Collect and apply knowledge Focus on success, but not the accuracy Program for the smart work Simulation of natural intelligence to solve sophisticated problems Making decisions Creating a system for mimicking human response and behavior Find a solution that is optimal for the situation Achieve intelligence or wisdom

5. AI has potential across the breadth and depth of manufacturing operations Source: Capgemini Research Institute analysis.

6. AI has potential across the breadth and depth of manufacturing operations Source: Capgemini Research Institute analysis.

7. Source: AI and Machine Learning in Manufacturing: The Complete Guide ( spd.group )

8. Predictive maintenance High uptime and availability, leading to high overall equipment effectiveness (OEE) Avoiding loss of production Low maintenance cost Low spare part inventory Source: Capgemini Research Institute analysis.

9. Quality assurance Imp roved end-product quality Reduced cost and increased accuracy of inspection R educed cost of quality assurance (less final control) Source: Capgemini Research Institute analysis.

10. MACHINE VISION – One of the Group Technology of ai Machine Vision Systems (MVS), also called automated vision systems or vision inspection systems, consist of several components that are common to most systems MVS can identify measure, gauge and inspect the quality Typically, five elements of MVS The lighting system The optical system or lens The sensor The vision processing system The communications system Source: Application of MV in Automotive Industry report by Shaik Ameer Malik

11. Source: Google Images vision processing system

12. APPLICATION OF MACHINE VISION IN AUTOMOTIVE INDUSTRY Camera or sensor, for detecting the defects through capturing image and then analyzing it through Machine learning algorithms and taking an action and extract real time and customized reports Application of MV in Automotive Industry can be divided in broadly into four groups, there are Robotic Vision Inspection and Quality control Safety of Production Barcodes Reading Source: Application of MV in Automotive Industry report by Shaik Ameer Malik Robotic vision

13. APPLICATION OF MACHINE VISION IN AUTOMOTIVE INDUSTRY Source: Application of MV in Automotive Industry report by Shaik Ameer Malik

14. APPLICATION OF MACHINE VISION IN AUTOMOTIVE INDUSTRY Source: Application of MV in Automotive Industry report by Shaik Ameer Malik

15. ADVANTAGES AND BENEFITS OF MACHINE VISION SYSTEMS MVS provide several direct benefits to manufacturers and production line processes: Reduction in the number of defects Increase in production yield Reduction in downtime Improved ability to track and trace parts and products in a production process Facilitation with compliance to regulations that apply to specific product classes Overview of low-cost machine vision system installation approach (Hubert Würschinger et al, 2020)

16. DatA and Ai are the building foundation of Industry 4.0 Source: Capgemini Research Institute analysis.

17. Thank you