Manufacturing Defect Detection in Ceiling Fans using Image processing
Vaishali Malik1, Pradeep Pant2
1Vaishali Malik,. Student, M. Tech., Computer Science & Engineering from Meerut Institute of Engineering & Technology (MIET), Meerut, Uttar Pradesh, India.
2Pradeep Pant, Professor, Computer Science & Engineering from Meerut Institute of Engineering & Technology (MIET), Meerut, Uttar Pradesh, India.
Manuscript received on 09 August 2019 | Revised Manuscript received on 16 August 2019 | Manuscript Published on 31 August 2019 | PP: 192-195 | Volume-8 Issue-9S2 August 2019 | Retrieval Number: I10370789S219/19©BEIESP DOI: 10.35940/ijitee.I1037.0789S219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: During manufacturing process of ceiling fans there may be possibility that any step of manufacturing process can be skipped or improper completion due to malfunctioning of the system. In manufacturing process of fans, the outer plate, stator, rotor, axle and other parts are manufactured and assembled. If the winding machine is not working properly and improper windings is done and no-one can acknowledge that winding machine is not working properly then the whole batch should be designed with defect and this will surely create negative impact on the production process of the industry. So this proposed work will overcome this problem. This paper guides to detect whether the windings are proper or not and detection is carried out by taking picture of armature-windings. If there is any problem in the windings then our system will generate an alert so that other armatures can be protected from failures. Manual results are not so accurate all the time but in manufacturing process we need high accuracy. For this skilled labor is required and for skilled labor we have to pay more, this automated system reduce the need of skilled labor. If fan manufacturing industries use this image processing system then this will be very helpful in increasing production of fans within the completion time with more accuracy
Keywords: Defect, Detection, Fan, Image, Manufacturing, Rotor.
Scope of the Article: Advanced Manufacturing Technologies