INDUSTRIAL APPLICATION OF MACHINE VISION ppt mrng finl

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INDUSTRIAL APPLICATION OF MACHINE VISION ppt mrng finl

  1. 1. INDUSTRIAL APPLICATION OF MACHINE VISION BY ANIL BADIGER On 20 Feb 2016 UNDER GUIDENCE OF Prof. MURALI M. AMBEKAR Asst. Prof., Dept. of Mech. Engg. KLECET, Chikodi 1
  2. 2. CONTENTS Definition Components of machine vision Working principle Applications of machine vision Advantages Conclusion Reference 2
  3. 3. MACHINE VISION The process of extracting information from visual sensors to enable machines to make intelligent decision. 3
  4. 4. COMPONENTS OF MACHINE VISION 4
  5. 5. COMPONENTS OF MACHINE VISION Light source-LED, Fluorescent, Halogen lamps Lens – Telecentric , Macro lens Sensors – Optic ,Magnetic type Vision processing unit Communication unit 5
  6. 6. WORKING PRINCIPLE 6
  7. 7. WORKING PRINCIPLE 1. A camera takes a picture of the object to be tested in the presence of lens with suitable intensity of light source, and sends it to a computer for image processing. 2. The computer will define and analysis the characteristics of image. 3. After analysis the computer system will communicate with rejection unit if any defects in the part, or else if it is defect free it will send to the next station for processing. 7
  8. 8. APPICATION FIELDS  Automotive  Electronics  Food  Logistics  Manufacturing  Robotics  Packaging  Pharmaceutical  Mining 8
  9. 9. APPLICATIONS OF MACHINE VISION SYSTEM 9
  10. 10. MEASUREMENT In measurement applications the purpose of the vision system is to measure physical dimensions of the object. Examples of physical dimensions are distance, diameter, curvature, area, height, and volume. Example: A camera measures multiple diameters of a bottleneck 10
  11. 11. COUNTING  Counting is another typical machine vision application  Basically counting means look for number of parts over number of features on a part, this allows us to locate missing part and ensure the products are assembled properly. Example 1: counting of holes on the aluminium flange. 11
  12. 12. COUNTING Example 2: Identifying the presence or absence of the part. 12
  13. 13. LOCATION Machine vision also used to report the location and orientation of the parts. 13
  14. 14. DECODING  It is an identification application in which the vision system reads various codes and alphanumeric characters (text and numbers) and decodes the codes to get the product features .It is used to record information as historical data, track products ,validate data, verify correctness of data and verify the product. 14
  15. 15. ADVANTAGES Machine vision system works more faster than manual system. Machine vision is consistent. Perform beyond human vision High repeatable in controlled environment No fatigue – 24/7 Reliable Good for unsafe and hazardous environment Operate well in space constrained environments 15
  16. 16. ADVANTAGES 16
  17. 17. CONCLUSION Machine vision is less risky, reliable to use. It enables high speed examination of defects in products. The quality products can be obtained by the incorporation of machine vision system. 17
  18. 18. REFERENCE [1] Sathiyamoorthy, S (MAY 2014) “INDUSTRIAL APPLICATION OF MACHINE VISION” Volume: 03 Special Issue: 07 Retrieved from http://www.ijret.org [2] Remigiusz Labudzki, Stanislaw Legutko (2009) “APPLICATION OF MACHINE VISION” Retrieved from http://www.fvt.tuke.sk/../2-pp-27.pdf [3] Web link: http://www.microscan.com accessed on 15/2/2016 [4] Smith C J and Adendorff K (JUNE 1991) “ADVANTAGES AND LIMITAIONS OF AN AUTOMATED VISUAL INSPECTION SYSTEM” Retrieved from http//sajie.journals.ac.za 18
  19. 19. THANK YOU 19

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