TWI691715B - Automatic optical detection mechanism for detecting silicon wafer defects and method thereof - Google Patents
Automatic optical detection mechanism for detecting silicon wafer defects and method thereof Download PDFInfo
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本發明係關於一種檢測矽晶圓缺陷技術,尤指一種檢測矽晶圓缺陷的自動光學檢測機構及方法。The invention relates to a technology for detecting silicon wafer defects, in particular to an automatic optical detection mechanism and method for detecting silicon wafer defects.
矽晶圓是由矽棒經過切割加工所製成的圓形晶片,而矽棒在切割加工為矽晶圓後,表面會有大量的殘留物,即便透過拋光和清洗的製程,仍不免會在矽晶圓表面有如是刮傷或水漬的缺陷(Defect)存在,因而必須對矽晶圓表面進行缺陷檢測,以確保矽晶圓的出貨品質。Silicon wafers are round wafers made by cutting silicon rods, and after the silicon rods are cut into silicon wafers, there will be a lot of residue on the surface. Even through the polishing and cleaning processes, they will still be in Defects such as scratches or water stains exist on the surface of the silicon wafer. Therefore, the surface of the silicon wafer must be inspected for defects to ensure the shipment quality of the silicon wafer.
不論是矽晶圓製造廠或是再生矽晶圓廠,目前針對矽晶圓表面檢測缺陷的方式仍為人工檢測,主要是藉由檢測人員的經驗對矽晶圓表面的缺陷進行檢測,然而利用人工檢測矽晶圓表面缺陷的方式容易誤判,矽晶圓出廠時因人工未發現缺陷而仍存在瑕疵的問題,導致出廠品質良莠不齊。Regardless of whether it is a silicon wafer manufacturing plant or a recycled silicon wafer plant, the current method of detecting defects on the surface of silicon wafers is still manual detection, mainly to detect defects on the surface of silicon wafers through the experience of inspectors, but using The method of manually detecting the defects on the surface of silicon wafers is easy to misjudge. The defects of the silicon wafers are still found due to the fact that no defects are found manually, resulting in uneven quality.
前述以人工檢測矽晶面表面缺陷的問題,特別是矽晶圓表面有刮傷時,即便檢測人員能發現刮傷之缺陷存在,然而也僅能量得刮傷長度,並無法判別刮傷的深度,如以研磨拋光的方式去除缺陷,也是以經驗預估移除量而有難以精準的問題,有可能發生研磨拋光的深度不夠,導致缺陷去除無法一次完成,因而產生矽晶圓製程之效率無法有效提昇的問題。除此之外,亦有可能因研磨拋光的深度太多,而削減了不必要的矽晶圓厚度,浪費矽晶圓材料。The aforementioned problem of manually detecting the surface defects of the silicon crystal surface, especially when the surface of the silicon wafer is scratched, even if the inspector can find the defects of the scratch, but only the energy can get the length of the scratch, and the depth of the scratch cannot be judged For example, if the defects are removed by grinding and polishing, the removal amount is also estimated by experience and it is difficult to be precise. It may happen that the depth of the grinding and polishing is not enough, so that the defect removal cannot be completed at one time, so the efficiency of the silicon wafer process The problem of effective promotion. In addition to this, it is also possible that the thickness of the silicon wafer is reduced due to the excessive depth of grinding and polishing, which wastes silicon wafer material.
為解決上述課題,本發明提供一種檢測矽晶圓缺陷的自動光學檢測機構及方法,主要係在矽晶圓表面以自動光學檢測技術檢測缺陷,有別於以人工檢測而具有較佳之準確性。In order to solve the above-mentioned problems, the present invention provides an automatic optical inspection mechanism and method for detecting defects on a silicon wafer, which mainly uses automatic optical inspection technology to detect defects on the surface of the silicon wafer, which is different from manual inspection and has better accuracy.
本發明之一項實施例提供一種檢測矽晶圓缺陷的自動光學檢測機構,其包含一基座、一照光單元、一影像擷取單元,以及一影像判斷單元,基座可供待檢測缺陷之矽晶圓設置,照光單元對應於基座並提供矽晶圓之照光,影像擷取單元與照光單元設置於矽晶圓之同一面,以擷取矽晶圓之表面在有照光單元照光下之一待測影像;影像判斷單元電性連接影像擷取單元,以影像判斷單元接收待測影像後,判斷待測影像是否存在影像差異而有缺陷。An embodiment of the present invention provides an automatic optical inspection mechanism for detecting silicon wafer defects, which includes a base, an illumination unit, an image capture unit, and an image determination unit. The base can be used to detect defects The silicon wafer is set, the light unit corresponds to the base and provides the illumination of the silicon wafer, the image capture unit and the light unit are set on the same side of the silicon wafer, to capture the surface of the silicon wafer under the illumination of the light unit An image to be tested; the image determining unit is electrically connected to the image capturing unit, and after the image determining unit receives the image to be tested, it determines whether the image to be tested has image differences and is defective.
其中,進一步包含一水平位移單元與基座連接,而控制基座於水平方向位移。Among them, a horizontal displacement unit is further connected to the base, and the base is controlled to be displaced in the horizontal direction.
其中,進一步包含一轉向單元,其與基座及水平位移單元連接,讓基座上之矽晶圓可傾斜至不同角度供影像擷取單元擷取待測矽晶圓的不同角度影像。Among them, a steering unit is further included, which is connected to the base and the horizontal displacement unit, so that the silicon wafer on the base can be tilted to different angles for the image capturing unit to capture images of different angles of the silicon wafer to be tested.
其中,照光單元照光時之光線亮度大於10000流明。Among them, the light brightness of the light unit when illuminating is greater than 10000 lumens.
其中,進一步包括一缺陷影像資料庫,缺陷影像資料庫電性連接影像判斷單元,並儲存影像判斷單元複數對應矽晶圓的缺陷影像,以供影像判斷單元進行矽晶圓缺陷判斷。Among them, a defect image database is further included. The defect image database is electrically connected to the image judgment unit, and stores a plurality of image judgment units corresponding to the defect images of the silicon wafer for the image judgment unit to judge the silicon wafer defects.
其中,進一步包括一缺陷去除單元,以去除所述缺陷。Wherein, a defect removing unit is further included to remove the defect.
本發明之一項實施例提供一種檢測矽晶圓缺陷的自動光學檢測方法,其步驟係將待檢測缺陷之矽晶圓設置在基座上,以照光單元在基座上方提供矽晶圓之照光,使矽晶圓表面具有足以突顯缺陷的亮度,而矽晶圓之表面在有照光下,以影像擷取單元在基座上方擷取矽晶圓表面之待測影像,以影像判斷單元接收待測影像,並以影像判斷單元判斷待測影像中有影像異常處為缺陷。An embodiment of the present invention provides an automatic optical inspection method for detecting defects of a silicon wafer. The step is to dispose the silicon wafer to be detected on the base, and the illumination unit provides illumination of the silicon wafer above the base , So that the surface of the silicon wafer has enough brightness to highlight defects, and the surface of the silicon wafer is illuminated by the image capture unit to capture the image to be tested on the surface of the silicon wafer above the base, and the image judgment unit receives the pending The image is measured, and the image judgment unit judges that there is an image abnormality in the image to be tested as a defect.
其中,影像擷取單元在基座上方的位置固定,基座可於水平方向沿一第一軸向和一第二軸向位移,第一軸向垂直於第二軸向,以基座帶動待測之矽晶圓沿第一軸向和第二軸向水平位移,並由影像擷取單元分段擷取待測之矽晶圓之局部影像後,由影像判斷單元整合並還原為待測影像。Among them, the position of the image capturing unit above the base is fixed, and the base can be displaced in a horizontal direction along a first axis and a second axis, the first axis is perpendicular to the second axis, and the base drives the standby The measured silicon wafer is horizontally displaced along the first axis and the second axis, and after the partial image of the silicon wafer to be measured is segmentally captured by the image capturing unit, the image determination unit integrates and restores the image to be tested .
其中,基座具有一平行水平方向之轉動軸向,基座以轉動軸向為軸心而可傾斜至不同角度,於所述缺陷具有深度時,調整所述矽晶圓被該影像擷取單元擷取影像之角度,以擷取所述具有深度之缺陷在不同角度時之複數缺陷影像,且以該影像判斷單元依據該複數缺陷影像判斷所述缺陷之實際深度。Wherein, the pedestal has a rotation axis parallel to the horizontal direction, and the pedestal can be tilted to different angles with the rotation axis as the axis. When the defect has a depth, the silicon wafer is adjusted by the image capturing unit The angle of the captured image is used to capture a plurality of defect images of the defect with depth at different angles, and the image determination unit determines the actual depth of the defect based on the plurality of defect images.
其中,以缺陷影像資料庫電性連接影像判斷單元,以儲存待測影像在影像判斷單元判斷為有缺陷之缺陷影像,以供影像判斷單元進行矽晶圓缺陷判斷。Wherein, the image judgment unit is electrically connected with the defect image database to store the image of the image to be tested which is judged to be defective in the image judgment unit, so that the image judgment unit can judge the silicon wafer defects.
其中,一前述缺陷影像產生時,該缺陷影像資料庫可對該缺陷影像分類儲存,該影像判斷單元依所述缺陷影像之分類而自動媒合並比對出所屬的缺陷類型。Wherein, when a defect image is generated, the defect image database can store the defect image by classification, and the image judgment unit automatically matches and compares the defect type according to the classification of the defect image.
其中,進一步以一缺陷去除單元依所述缺陷類型,缺陷去除單元是以研磨、拋光或蝕刻之至少一者去除所述缺陷。Wherein, a defect removal unit is further used to remove the defect according to at least one of grinding, polishing or etching according to the defect type.
藉此,當矽晶圓表面有缺陷存在時,可透過本發明之自動光學檢測機構進行缺陷之檢測,是以影像判斷單元接收待測影像後,判斷待測影像是否存在影像差異,即可精準地判斷在矽晶圓表面是否有缺陷,藉以解決矽晶圓出廠時因人工未發現缺陷而仍存在瑕疵的問題,以確保矽晶圓出廠時無缺陷的品質一致。In this way, when there is a defect on the surface of the silicon wafer, the defect can be detected by the automatic optical inspection mechanism of the present invention. After the image judgment unit receives the image to be tested, it is determined whether there is an image difference between the image to be tested, and then it can be accurate To determine whether there is a defect on the surface of the silicon wafer, in order to solve the problem that the defect still exists due to the manual discovery of the defect when the silicon wafer is shipped out, to ensure that the quality of the silicon wafer is free of defects when shipped out of the factory.
此外,當矽晶圓表面有刮傷時,因待檢測缺陷之矽晶圓可隨基座傾斜至不同角度,而可調整擷取單元擷取影像之角度,進而依據所擷取不同角度的複數缺陷影像判斷所述缺陷之實際深度。並且,在刮傷的實際深度得知後,缺陷去除單元可依據所知深度而一次去除所述缺陷,藉以達到矽晶圓製程之效率能有效提昇之功效。In addition, when the surface of the silicon wafer is scratched, the silicon wafer to be detected can be tilted to different angles with the pedestal, and the angle of the image captured by the capturing unit can be adjusted, and then a plurality of different angles are captured The defect image determines the actual depth of the defect. Moreover, after the actual depth of the scratch is known, the defect removal unit can remove the defects at a time according to the known depth, so as to achieve the efficiency of the silicon wafer process can be effectively improved.
再者,藉由缺陷影像資料庫儲存被影像判斷單元判斷為有缺陷之缺陷影像,並且對所獲得的缺陷影像進行分類與儲存,待所獲得的缺陷影像足夠且完整時,影像判斷單元即可類似以人工智能的方式,依所述缺陷影像之分類而自動媒合並比對出所屬的缺陷類型,以達到精準地判斷出缺陷類型且建議較佳的去除方式的功效。Furthermore, the defect image database stores the defect images determined as defective by the image determination unit, and classifies and stores the obtained defect images. When the obtained defect images are sufficient and complete, the image determination unit can Similar to the method of artificial intelligence, according to the classification of the defect image, the automatic match-merge is used to compare the defect types to achieve the effect of accurately determining the defect type and suggesting a better removal method.
為便於說明本發明於上述發明內容一欄中所表示的中心思想,茲以具體實施例表達。實施例中各種不同物件係按適於說明之比例、尺寸、變形量或位移量而描繪,而非按實際元件的比例予以繪製,合先敘明。In order to facilitate the description of the central idea of the present invention in the column of the above summary of the invention, it is expressed in a specific embodiment. In the embodiments, various objects are drawn according to the proportion, size, deformation or displacement suitable for description, rather than drawn according to the proportion of actual elements, which will be described first.
請參閱圖1至圖4所示,本發明提供一種檢測矽晶圓缺陷的自動光學檢測機構及方法,自動光學檢測機構100包含一基座10、一照光單元20、一影像擷取單元30,以及一影像判斷單元40,於本實施例中進一步包括一缺陷影像資料庫50以及一缺陷去除單元60,其中:Please refer to FIGS. 1 to 4, the present invention provides an automatic optical inspection mechanism and method for detecting silicon wafer defects. The automatic
所述基座10,係供待檢測缺陷之矽晶圓200設置。於本實施例中,基座10是連接在一水平位移單元11,此水平位移單元11於本實施例中是設在一底座12上,且於水平方向沿一第一軸向X和一第二軸向Y位移,以水平位移單元11控制基座10於水平方向位移,其中的第一軸向X和第二軸向Y於水平方向是呈垂直(如圖3所示)。本實施例中並包含一轉向單元13,此轉向單元13是與基座10及水平位移單元11連接,基座10除了可由水平位移單元11而沿第一軸向X和第二軸向Y水平位移之外,也能藉由轉向單元13讓基座10上之矽晶圓200可傾斜至不同角度。The
所述照光單元20,其對應於基座10而設,以提供位在基座10上之矽晶圓200之照光。於本實施例中,所述照光單元20於照光時之光線L亮度大於10000流明,而以50000流明為較佳。照光單元20於較佳實施例中可為高功率發光二極體(High Power LED)。所述照光單元20於本實施例中的數量有二,二照光單元20是設置在基座10相對的兩側,且對基座10上之矽晶圓200照光的角度分別呈45度角。The
所述影像擷取單元30,其與照光單元20設置於矽晶圓200的同一面,矽晶圓200之表面在有照光單元20之照光下,可由影像擷取單元30擷取一待測影像31(以虛線C表示影像擷取方向)。所述影像擷取單元30,可為CCD攝像機、CMOS攝像機、或功能相似的影像擷取裝置,而於本實施例中係以CCD攝像機為較佳實施例。由於本實施例設有轉向單元13,當基座10上之矽晶圓200隨轉向單元13傾斜至不同角度時,影像擷取單元30可擷取矽晶圓200在不同角度下的影像。The
所述影像判斷單元40,其電性連接影像擷取單元30,在影像擷取單元30擷取到待測影像31後,由影像判斷單元40接收待測影像31,並且,由影像判斷單元40對該待測影像31判斷是否存在影像差異而有缺陷。所述影像判斷單元40,係由電腦裝置之中央處理單元所執行。The
所述缺陷影像資料庫50,其連接影像判斷單元40,並儲存影像判斷單元40複數對應矽晶圓200的缺陷影像,此述的缺陷影像指的是待測影像31被影像判斷單元40判斷有缺陷之部位的影像,這些缺陷影像是被儲存在缺陷影像資料庫50,以供影像判斷單元40進行矽晶圓200缺陷判斷。The
所述缺陷去除單元60,係用以去除所述矽晶圓200上之缺陷,可為研磨機、拋光機以及蝕刻機中至少一者或兩者以上的組合(圖中未示)。其中,研磨機對矽晶圓200之表面進行研磨時的去除量較大,拋光機對矽晶圓200之表面進行研磨時的去除量較小,而蝕刻機則是對矽晶圓200之表面進行微量的去除。The
就上述檢測矽晶圓缺陷的自動光學檢測機構100,於本實施例中並說明其檢測方法,在於檢測缺陷矽晶圓200之缺陷時,是將待檢測缺陷之矽晶圓200設置在基座10上,並以照光單元20在基座10上方提供矽晶圓200之照光,使矽晶圓200的表面具有足以突顯缺陷的亮度,矽晶圓200的表面在有照光單元20的照光之下,以影像擷取單元30在基座10上方擷取矽晶圓200表面之待測影像31,並以影像判斷單元40接收待測影像31之後,判斷待測影像31中有影像異常處為缺陷。而於本實施例中,照光單元20以50000流明之高亮度光線L對矽晶圓200表面進行照光。With regard to the above-mentioned automatic
在本實施例中,矽晶圓200的尺寸比影像擷取單元30一次可擷取的影像範圍大,所以本實施例之影像擷取單元30,其在基座10上方的位置固定,所以在進行矽晶圓200之缺陷檢測時,本實施例之方法是由矽晶圓200隨基座10在水平位移單元11上依第一軸向X和第二軸向Y而沿一路徑P位移(如圖3所示),當矽晶圓200沿路徑P位移的過程中,便由影像擷取單元30分段擷取矽晶圓200之局部影像,再由影像判斷單元40整合並還原為待測影像31。其中,待測影像31在經影像判斷單元40判斷之後,包含缺陷影像D1和缺陷影像D2,其中的缺陷影像D1為矽晶圓200上的刮傷201,而缺陷影像D2為矽晶圓200表面的水漬。In this embodiment, the size of the
所述缺陷影像D1,其具有一定的深度,本實施例之檢測方法中,基座10是連接轉向單元13,而轉向單元13具有一平行該水平方向之轉動軸向A,基座10藉由轉向單元13以轉動軸向A為軸心而可傾斜至不同角度。如圖4所示,矽晶圓200上之刮傷201沿深度方向是往側向傾斜,如以影像擷取單元30正對以擷取刮傷201,必然無法測得真實的深度。於本實施例之檢測方法中,是由轉向單元13傾斜以調整矽晶圓200被影像擷取單元30擷取影像之角度藉此可在不同角度時(如圖4所示)擷取複數刮傷201之缺陷影像D1,並將此複數缺陷影像D1影像判斷單元40接收後,由影像判斷單元40依據複數缺陷影像D1進行運算,以判斷刮傷201之實際深度。The defect image D1 has a certain depth. In the detection method of this embodiment, the
承上,當獲知刮傷201之實際深度時,本實施例即可由缺陷去除單元60將刮傷201一次去除。如前所述,缺陷去除單元60可以是研磨機、拋光機或蝕刻機,若刮傷201的深度較深時,可依據刮傷201之深度而分別進行研磨、拋光以及蝕刻,可一次將刮傷201去除;若刮傷201的深度較淺時,仍可進行拋光或蝕刻,亦可一次將刮傷201去除。若為缺陷影像D2的水漬,可由蝕刻方式一次去除。As mentioned above, when the actual depth of the
於本實施例之檢測方法中,待測影像31被影像判斷單元40判斷有缺陷之缺陷影像,缺陷影像可透過缺陷影像資料庫50儲存,並對缺陷影像分類儲存。例如前述的缺陷影像D1,依其影像會被分類在刮傷的影像,而缺陷影像D2,依其影像會被分類在水漬的影像。當影像擷取單元30擷取下一待測影像31產生時,影像判斷單元40可依缺陷影像之分類,而自動媒合並比對出所屬的缺陷類型,若與缺陷影像D1相似則可直接判斷為刮傷,且若與缺陷影像D2相似則可直接判斷為水漬,此時便可由缺陷去除單元60以對應的缺陷去除方式對缺陷進行去除動作。In the detection method of this embodiment, the image to be tested 31 is determined by the
由上述之說明不難發現本發明之特點,在於:From the above description, it is not difficult to find the characteristics of the present invention, which are:
1.當矽晶圓200的表面有缺陷存在時,本發明之自動光學檢測機構100可自動檢測矽晶圓200之缺陷,即以影像判斷單元40接收待測影像31是否存在影像差異,即可相當精準地判斷矽晶圓200表面之缺陷有無,相較於習知以人工檢測者,可解決矽晶圓200出廠時因人工未發現缺陷而仍存在瑕疵的問題,使矽晶圓200出廠時無缺陷而能確保品質一致。1. When there is a defect on the surface of the
2.當矽晶圓200之表面的缺陷為刮傷時,為檢測深度而可將矽晶圓200隨基座10傾斜,以擷取不同角度之複數缺陷影像而判斷缺陷之實際深度。而在缺陷的實際深度得知後,利於缺陷去除單元60依據所知深度而一次去除所述缺陷,以達到矽晶圓製程之效率能有效提昇之功效。2. When the defects on the surface of the
3.本發明中,被影像判斷單元40判斷為有缺陷之缺陷影像(如缺陷影像D1、D2),可藉由缺陷影像資料庫50儲存並且進行分類,隨著檢測次數的增加而獲得的缺陷影像足夠且完整時,影像判斷單元40即可類似以人工智能的方式,依所述缺陷影像之分類而自動媒合並比對出所屬的缺陷類型,以達到精準地判斷出缺陷類型,且建議較佳去除方式的功效。3. In the present invention, defective images (such as defective images D1 and D2) that are determined to be defective by the
以上所舉實施例僅用以說明本發明而已,非用以限制本發明之範圍。舉凡不違本發明精神所從事的種種修改或變化,俱屬本發明意欲保護之範疇。The above-mentioned embodiments are only used to illustrate the present invention, not to limit the scope of the present invention. Any modifications or changes that do not violate the spirit of the present invention are within the scope of the invention to be protected.
100:自動光學檢測機構 200:矽晶圓 201:刮傷 10:基座 11:水平位移單元 12:底座 13:轉向單元 20:照光單元 30:影像擷取單元 31:待測影像 40:影像判斷單元 50:缺陷影像資料庫 60:缺陷去除單元 X:第一軸向 Y:第二軸向 L:光線 C:虛線 P:路徑 D1:缺陷影像 D2:缺陷影像 A:轉動軸向100: automatic optical detection mechanism 200: silicon wafer 201: Scratch 10: Dock 11: Horizontal displacement unit 12: Base 13: steering unit 20: Illumination unit 30: Image capture unit 31: Image to be tested 40: Image judgment unit 50: Defect image database 60: Defect removal unit X: first axis Y: Second axis L: light C: dotted line P: path D1: Defective image D2: Defective image A: Rotation axis
圖1係本發明之自動光學檢測機構之示意圖。 圖2係本發明之自動光學檢測機構之方塊圖。 圖3係本發明之基座水平位移而由影像擷取單元分段擷取影像之示意圖。 圖4係本發明之自動光學檢測機構在矽晶圓傾斜至不同角度時擷取缺陷影像之示意圖。 FIG. 1 is a schematic diagram of the automatic optical detection mechanism of the present invention. 2 is a block diagram of the automatic optical detection mechanism of the present invention. FIG. 3 is a schematic view of the horizontal displacement of the base of the present invention to capture images in stages by the image capturing unit. FIG. 4 is a schematic diagram of the automatic optical inspection mechanism of the present invention capturing defect images when the silicon wafer is tilted to different angles.
100:自動光學檢測機構 100: automatic optical detection mechanism
200:矽晶圓 200: silicon wafer
10:基座 10: Dock
11:水平位移單元 11: Horizontal displacement unit
12:底座 12: Base
13:轉向單元 13: steering unit
20:照光單元 20: Illumination unit
30:影像擷取單元 30: Image capture unit
X:第一軸向 X: first axis
L:光線 L: light
C:虛線 C: dotted line
A:轉動軸向 A: Rotation axis
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TW200503444A (en) * | 2003-01-15 | 2005-01-16 | Negevtech Ltd | System for detection of wafer defects |
TW200912286A (en) * | 2007-09-07 | 2009-03-16 | Delta Electronics Inc | Optical inspection method and apparatus for substrate |
TWM536412U (en) * | 2016-09-02 | 2017-02-01 | Kenmec Mechanical Engineering Co Ltd | Automatic measuring device of hole and film thickness |
TW201729331A (en) * | 2009-08-20 | 2017-08-16 | 尼康股份有限公司 | Object processing apparatus, exposure apparatus and exposure method, and device manufacturing method |
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TW200503444A (en) * | 2003-01-15 | 2005-01-16 | Negevtech Ltd | System for detection of wafer defects |
TW200912286A (en) * | 2007-09-07 | 2009-03-16 | Delta Electronics Inc | Optical inspection method and apparatus for substrate |
TW201729331A (en) * | 2009-08-20 | 2017-08-16 | 尼康股份有限公司 | Object processing apparatus, exposure apparatus and exposure method, and device manufacturing method |
TWM536412U (en) * | 2016-09-02 | 2017-02-01 | Kenmec Mechanical Engineering Co Ltd | Automatic measuring device of hole and film thickness |
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