KR970025357A - Nozzle illumination inspection method by image processing - Google Patents

Nozzle illumination inspection method by image processing Download PDF

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Publication number
KR970025357A
KR970025357A KR1019950038611A KR19950038611A KR970025357A KR 970025357 A KR970025357 A KR 970025357A KR 1019950038611 A KR1019950038611 A KR 1019950038611A KR 19950038611 A KR19950038611 A KR 19950038611A KR 970025357 A KR970025357 A KR 970025357A
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KR
South Korea
Prior art keywords
roughness
nozzle
difference
average
diffuser plate
Prior art date
Application number
KR1019950038611A
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Korean (ko)
Inventor
진상훈
Original Assignee
배순훈
대우전자 주식회사
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 배순훈, 대우전자 주식회사 filed Critical 배순훈
Priority to KR1019950038611A priority Critical patent/KR970025357A/en
Publication of KR970025357A publication Critical patent/KR970025357A/en

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Abstract

칩 마운터의 노즐부의 조명상태를 검사하는 방법에 관한 것으로, 화상 인식 카메라로 부터 노즐의 영상을 입력받고, 상기 영상에서 확산판 영역에 대하여 노즐 중심에서 8방향으로 조도의 분포를 검출하여, 상기 노즐부분의 조도의 평균(NZA(n))과 확산판 부분의 조도의 평균(DFA(n))을 구하고, 상기 노즐 부분의 조도의 평균(NZA(n))의 최대와 최소를 구하여 그 차가 설정범위 이내인가를 판단하여 선정 범위이내가 아니면 불량이라고 판단하고, 상기 확산판 부분의 조도의 평균(DFA(n))의 최대와 최소를 구하여 그 차가 설정범위 이내인가를 판단하여 실정 범위이내가 아니면 불량이라고 판단하며, 상기 노즐 부분의 조도의 평균(NZA(n))과 상기 확산판 부분의 조도의 평균(DFA(n))의 차를 구하여 그 차가 설정범위 이내인가를 판단하여 설정 범위이내가 아니면 불량이라고 판단하고, 상기 단계에서 불량이라고 판단되지 않으면 조명상태 양호를 표시하고, 상기 단계에서 뷸량이라고 판단하면, 불양 부분을 모니터에 표시한다.A method of inspecting an illumination state of a nozzle unit of a chip mounter, the method comprising: receiving an image of a nozzle from an image recognition camera, detecting an illuminance distribution in an eight-direction direction from a nozzle center with respect to a diffuser plate region in the image; The average of the roughness of the portion (NZA (n)) and the average of the roughness of the diffuser plate portion (DFA (n)) are obtained, and the maximum and minimum of the average of the roughness of the nozzle portion (NZA (n)) are obtained and the difference is set. If it is within the selected range, it is determined that it is not within the selected range, and if it is not within the selected range, the maximum and minimum values of the roughness (DFA (n)) of the roughness of the diffuser plate are obtained, and the difference is within the set range. It is judged that the defect is, and the difference between the average of roughness of the nozzle portion (NZA (n)) and the average of the roughness of the diffuser plate portion (DFA (n)) is determined, and it is determined whether the difference is within the setting range. Or bad It said judgment and, if the does not judged to be defective in the above step shows the good lighting condition, and the determination in the step amount byul, and displays the bulyang portion on the monitor.

Description

화상처리에 의한 노즐 조명 검사방법Nozzle illumination inspection method by image processing

본 내용은 요부공개 건이므로 전문내용을 수록하지 않았음As this is a public information case, the full text was not included.

제3도는 본 발명에 의한 화상 처리에 의한 조명 검사 방법을 보이는 플로우 차트이다.3 is a flowchart showing an illumination inspection method by image processing according to the present invention.

Claims (2)

칩 마운터의 노즐부의 조명상태를 검사하는 방법에 있어서, 화상 인식 카메라로 부터 노즐의 영상을 입력받는 단계와, 상기 영상에서 확산판 영역에 대하여 노즐 중심에서 다수의 방향으로 조도의 분포를 검출하는 단계와, 상기 검출된 조도의 분포에서 사전에 측정된 상기 노즐과 확산판의 지름값을 이용하여 노즐 부분의 조도의 평균(NZA(n))과 확산판 부분의 조도의 평균(DFA(n))을 구하는 단계와, 상기 노즐 부분의 조도의 평균(NZA(n))의 최대와 최소를 구하여 그 차가 설정범위 이내인가를 판단하여 실정 범위이내가 아니면 불량이라고 판단하는 단계와, 상기 확산판 부분의 조도의 평균(DFA(n))의 최대와 최소를 구하여 그 차가 선정범위 이내인가를 판단하여 실정 범위이내가 아니면 불량이라고 판단하는 단계와, 상기 노즐 부분의 조도의 평균(NZA(n))과 상기 확산판 부분의 조도의 평균(DFA(n))의 차를 구하여 그 차가 실정범위 이내인가를 판단하여 선정 범위이내가 아니면 불량이라고 판단하는 단계와, 상기 단계에서 불량이라고 판단되지 않으면 조명상태 양호를 표시하고, 본 프로그램을 종료하며, 상기 단계에서 불량이라고 판단하면, 불양 부분을 모니터에 표시하고 본 프로그램을 종료하는 단계를 구비하는 것을 특징으로 하는 화상 처리에 의한 노즐 조명 검사 방법.A method of inspecting an illumination state of a nozzle unit of a chip mounter, the method comprising: receiving an image of a nozzle from an image recognition camera, and detecting distribution of illuminance in a plurality of directions from the nozzle center to a diffuser region in the image; And the average of the roughness of the nozzle portion (NZA (n)) and the average of the roughness of the diffuser plate portion (DFA (n)) using the diameter values of the nozzle and the diffuser plate measured in advance in the detected distribution of the roughness. Obtaining a maximum and minimum of the roughness average (NZA (n)) of the nozzle portion, determining whether the difference is within a set range, and determining that the difference is not within an actual range; Determining the maximum and minimum of the average roughness (DFA (n)) and determining whether the difference is within the selected range, and determining that the difference is not within the actual range, and determining that the defect is not good, and the average roughness of the nozzle portion (NZA (n)) and Prize Obtaining the difference of the average DFA (n) of the roughness of the diffuser plate and determining whether the difference is within the actual range, and determining that the difference is not within the selected range; Displaying, terminating the program, and if it is determined that the defect is bad at the step, displaying the defective portion on the monitor and terminating the program. 제1항에 있어서, 상기 영상에서 확산판 영역에 대하여 노즐 중심에서 조도의 분포를 검출하는 방향은 8방향인 것을 특징으로 하는 화상 처리에 의한 노즐 조명 검사방법.The method according to claim 1, wherein the direction of detecting the distribution of illuminance at the nozzle center with respect to the diffuser plate region in the image is eight directions.
KR1019950038611A 1995-10-31 1995-10-31 Nozzle illumination inspection method by image processing KR970025357A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
KR1019950038611A KR970025357A (en) 1995-10-31 1995-10-31 Nozzle illumination inspection method by image processing

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Application Number Priority Date Filing Date Title
KR1019950038611A KR970025357A (en) 1995-10-31 1995-10-31 Nozzle illumination inspection method by image processing

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KR970025357A true KR970025357A (en) 1997-05-30

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2008002076A1 (en) * 2006-06-28 2008-01-03 Industry-University Cooperation Foundation Hanyang University Battery test apparatus and battery test method

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2008002076A1 (en) * 2006-06-28 2008-01-03 Industry-University Cooperation Foundation Hanyang University Battery test apparatus and battery test method

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