TWI627384B - Vehicle windshield assembly detection system and method thereof - Google Patents

Abstract

A method for detecting a windshield assembly of a vehicle includes the following steps. A body of a vehicle is photographed to obtain image data of the vehicle body, and a first 3D (stereo) image of the vehicle body is constructed based on the image data. The first 3D image has a first image of the opening and a plurality of second images of the plurality of positioning holes. Then, image analysis of the first 3D image is performed to find the position of the plurality of second images in the first 3D image. In addition, a second 3D image of the windshield of the vehicle is read from a storage unit. The second 3D image has a third image of the glass body and a plurality of fourth images of the plurality of positioning pins, and the edges of the third image define a plurality of detection positions. Then, the first 3D image and the second 3D image are superimposed into a combined image according to a pair of bit conditions, and the distance between the third image and the first image at each detection position is detected. The alignment condition includes respectively aligning the plurality of fourth images with the plurality of second images.

Description

Vehicle windshield assembly detection system and method thereof

The present invention relates to a size measurement technique for a vehicle component, and more particularly to a vehicle windshield assembly detection system and method thereof.

Vehicles are a common means of transportation. The windshield used by the vehicle for wind and rain to achieve the effect of sealing, reducing wind resistance and isolating noise, the dimensional fit between the windshield and the opening of the windshield on the vehicle body is very important. The opening for setting the windshield is surrounded by a plurality of sheet metal members assembled into a vehicle body. Therefore, when the body assembly is completed, the size of the opening may not match the size of the windshield to be set due to the error of the sheet metal member (caused by the stack of defective products or tolerances, etc.). Therefore, before opening the windshield assembly, the size of the opening must be confirmed to improve the yield after assembly.

In one embodiment, a vehicle windshield assembly detection system includes an image capture device, a 3D (stereo) construction module, a storage unit, and an image analysis unit. The image capturing device captures a body of a vehicle to obtain image data of the vehicle body. The 3D construction module constructs the first 3D image of the vehicle body based on the image data. The body has an opening, and the edge of the opening has a plurality of positioning holes. The first 3D image has a first image of the opening and a plurality of second images of the positioning holes. The storage unit stores a second 3D image of the windshield of the vehicle. The windshield includes a glass body and a plurality of positioning pins, and the positioning pins are fixed to a lower surface of the glass body. The plurality of locating pins match the plurality of locating holes. The second 3D image has a glass body The third image and the plurality of fourth images of the locating pins, and the edges of the third image define a plurality of detection locations. The image analysis unit performs image analysis of the first 3D image to find a position of the second image in the first 3D image, and combines the first 3D image and the second 3D image into a combined image according to a pair of bit conditions, and detects The distance between the third image and the first image at each detection position is measured. The alignment condition includes respectively aligning the plurality of fourth images with the plurality of second images.

In an embodiment, a method for detecting a windshield assembly of a vehicle includes the following steps. A body of a vehicle is photographed to obtain image data of the vehicle body, and the first 3D image of the vehicle body is constructed based on the image data. Wherein, the vehicle body has an opening portion, and the edge of the opening portion has a plurality of positioning holes. The first 3D image has a first image of the opening and a plurality of second images of the plurality of positioning holes. Then, image analysis of the first 3D image is performed to find the position of the plurality of second images in the first 3D image. In addition, a second 3D image of the windshield of the vehicle is read from a storage unit. The windshield includes a glass body and a plurality of positioning pins, and the positioning pins are fixed to a lower surface of the glass body. The plurality of locating pins match the plurality of locating holes. The second 3D image has a third image of the glass body and a plurality of fourth images of the positioning pins, and the edges of the third image define a plurality of detection positions. Then, the first 3D image and the second 3D image are superimposed into a combined image according to a pair of bit conditions, and the distance between the third image and the first image at each detection position is detected. The alignment condition includes respectively aligning the plurality of fourth images with the plurality of second images.

In summary, the vehicle windshield opening detection system and method thereof according to an embodiment of the present invention provide a quick and easy detection technique, and are applicable to the opening portion 211 of the vehicle 20 before assembling the windshield 230. The size is measured, and it is further determined whether the size of the opening portion 211 matches the windshield 230, thereby reducing the physical inspection development cost and reducing the measurement man-hour.

10‧‧‧Detection system

110‧‧‧Image capture device

130‧‧‧3D construction module

150‧‧‧Image Analysis Unit

170‧‧‧ storage unit

20‧‧‧ Vehicles

210‧‧‧ body

211‧‧‧ openings

213‧‧‧Positioning holes

230‧‧‧ windshield

231‧‧‧ glass body

231a‧‧‧ upper surface

231b‧‧‧ lower surface

233‧‧‧Locating pins

235‧‧‧Support

IM1‧‧‧ first 3D image

IM2‧‧‧Second 3D image

IMc‧‧‧ combination image

P11‧‧‧ first image

P13‧‧‧ second image

P15‧‧‧ image

P21‧‧‧ third image

P21a‧‧‧ upper surface

P21b‧‧‧ lower surface

P23‧‧‧ fourth image

P25‧‧‧ fifth image

P27‧‧‧ image

L1~L24‧‧‧Detection position

O10‧‧‧ first intermediate point

O11‧‧‧ intermediate point

O12‧‧‧ intermediate point

O20‧‧‧second intermediate point

O21‧‧‧ intermediate point

O22‧‧‧ intermediate point

S11~S14‧‧‧ touch points

S21~S24‧‧‧ support points

d‧‧‧Short distance

H‧‧‧ face

G‧‧‧ gap

S01~S06‧‧‧Steps

I-I‧‧‧ cut line

II-II‧‧‧ cut line

1 is a schematic view showing a state of a vehicle windshield assembly detecting system when performing vehicle measurement according to an embodiment of the present invention.

2 is a schematic diagram of a method for assembling a windshield assembly of a vehicle according to an embodiment of the invention.

3 is a schematic diagram of an embodiment of a first 3D (stereo) image.

4 is a front elevational view of an embodiment of a second 3D image.

FIG. 5 is a schematic view of the reverse side of the second 3D image of FIG. 4. FIG.

6 is a schematic view showing a state in which a windshield assembly detecting system of a vehicle performs a windshield measurement according to an embodiment of the present invention.

Figure 7 is an exploded view of an embodiment of a combined image.

Figure 8 is a combination of the combined images of Figure 7.

Figure 9 is a cross-sectional view taken along line I-I of Figure 8.

Figure 10 is a cross-sectional view taken along line II-II of Figure 8.

11 is a schematic diagram showing a state of a vehicle windshield assembly detecting system for measuring a vehicle according to another embodiment of the present invention.

FIG. 12 is a schematic diagram showing the state of measuring a windshield by a vehicle windshield assembly detecting system according to another embodiment of the present invention.

Figure 13 is a schematic illustration of another embodiment of a first 3D image.

Figure 14 is a front elevational view of another embodiment of a second 3D image.

Figure 15 is a schematic view of the reverse side of the second 3D image of Figure 14.

Figure 16 is an exploded view of another embodiment of a combined image.

Figure 17 is a combination diagram of the combined image of Figure 16;

1 is a schematic diagram of a vehicle windshield assembly detecting system for performing vehicle measurement according to an embodiment of the present invention. 2 is a schematic diagram of a method for assembling a windshield assembly of a vehicle according to an embodiment of the invention.

Referring to Fig. 1, a vehicle windshield assembly detecting system (hereinafter referred to as "detection system 10") is adapted to measure dimensional accuracy between an opening portion 211 of a vehicle 20 and a windshield. The detection system 10 includes an image capture device 110, a 3D (stereo) construction module 130, an image analysis unit 150, and a storage unit 170. The 3D construction module 130 is coupled to the image capture device 110 and the image analysis unit 150. The image analysis unit 150 is coupled between the 3D construction module 130 and the storage unit 170.

Referring to FIGS. 1 and 2, the image capturing device 110 captures the vehicle body 210 of the vehicle 20 to obtain image data of the vehicle body 210 (step S01). The 3D construction module 130 receives the image data captured by the image capturing device 110, and constructs a 3D image of the vehicle body 210 (hereinafter referred to as “the first 3D image IM1”, as shown in FIG. 3) based on the received image data (steps). S02). Referring to FIG. 1, the edge of the opening portion 211 of the vehicle body 210 has a plurality of positioning holes 213. At this time, referring to FIGS. 1 and 3, the first 3D video image IM1 has an image of the opening 211 (hereinafter referred to as a first image P11) and an image of the positioning holes 213 (hereinafter referred to as a second image P13). Likewise, the second image P13 is located at the edge of the first image P11. The first image P11 includes four sides (hereinafter referred to as a first side, a second side, a third side, and a fourth side, respectively). The first side is opposite the second side and the third side is opposite the fourth side. The first end of the third side is coupled to the first end of the first side, and the second end of the third side is coupled to the first end of the second side. First end of the fourth side The second end of the first side is coupled to the second end of the second side. The second image P13 is located on the third side of the first image P11. The first side edge, the third side edge, the second side edge, and the fourth side edge may be sequentially coupled to form a closed edge. Preferably, the third side of the first image P11 is an image P15 that is connected to the roof of the first 3D image IM1.

The image analyzing unit 150 performs image analysis of the first 3D image IM1 to find the position of the second image P13 in the first 3D image IM1 (step S03).

In addition, the image analyzing unit 150 reads out the 3D image of the windshield to be mounted on the vehicle 20 (hereinafter referred to as "second 3D image IM2" as shown in FIGS. 4 and 5) from the storage unit 170. (Step S04). Referring to FIG. 6, the windshield 230 includes a glass body 231 and a plurality of positioning pins 233. The positioning pins 233 respectively match the positioning holes 213 on the vehicle body 210. The glass body 231 has opposite upper and lower surfaces 231a and 231b, and the positioning pins 233 are fixed to the lower surface 231b of the glass body 231. Here, the upper surface 231a of the glass body 231 is a surface on which the glass body 231 is assembled on the opening 211 and faces the outside of the vehicle body 210. On the other hand, the lower surface 231b of the glass body 231 is a surface on which the glass body 231 is assembled on the opening 211 and faces the inside of the vehicle body 210 (the seating space). 4 and 5, the second 3D image IM2 has an image of the glass body 231 (hereinafter referred to as a third image P21) and an image of the positioning pins 233 (hereinafter referred to as a fourth image P23). The third image P21 has an opposite upper surface P21a and a lower surface P21b, and the fourth image P23 is located on the lower surface P21b of the third image P21. The edge of the third image P21 defines a plurality of detection positions L1 to L24. The third image P21 includes four sides (hereinafter referred to as a fifth side, a sixth side, a seventh side, and an eighth side, respectively) (ie, constitutes an edge). The fifth side is opposite the sixth side and the seventh side is opposite the eighth side. The first end of the seventh side is coupled to the first end of the fifth side, and the second end of the seventh side is coupled to the first end The first end of the six sides. The first end of the eighth side is coupled to the second end of the fifth side, and the second end of the eighth side is coupled to the second end of the sixth side. Based on the assembly relationship between the windshield 230 and the opening portion 211, the fifth side position corresponds to the first side, the sixth side position corresponds to the second side, and the seventh side position corresponds to the third side. The side and the eighth side position correspond to the fourth side. The fourth image P23 is located on the lower surface P21b of the third image P21 adjacent to the seventh side.

In some embodiments, referring to FIG. 6, before the size measurement of the opening portion 211 of the vehicle 20 is performed (step S01), the same device (the image capturing device 110 and the 3D construction module 130) may be photographed in advance. The second 3D image IM2 of the windshield 230 to be mounted on the vehicle 20 is constructed and stored in the storage unit 170. For example, the windshield 230 is placed in the shooting area, and the windshield 230 is photographed by the image capturing device 110 to obtain image data of the windshield 230. Then, the 3D construction module 130 receives the image data of the windshield 230 captured by the image capturing device 110, and constructs the second 3D image IM2 of the windshield 230 based on the received image data. The image analysis unit 150 may perform image analysis of the second 3D image IM2 to find the position of each feature (eg, each image, positioning point, and detection position L1~L24, etc.) in the second 3D image IM2. And the location of the found feature is stored in the storage unit 170 together with the second 3D image IM2.

In an embodiment, the 3D (stereoscopic) image capturing device 110 may include a plurality of cameras. The cameras capture images at different angles toward the shooting area to obtain images of objects to be photographed (eg, body 210 or windshield 230) at different angles on the shooting area. The 3D modeling software is used to construct a plurality of captured images to form a 3D image. In another embodiment, the 3D (stereo) image capturing device 110 can include a measuring arm and a laser scanning head, and the laser scanning head is assembled on the measuring arm. Here, the measuring arm moves the laser scanning head in a certain path, so that The laser scanning head group is caused to measure an object to be photographed (for example, the body 210 or the windshield 230) on the shooting area to generate a 3D image of the object to be photographed.

After analyzing the first 3D image IM1 (step S03) and reading the second 3D image IM2 (step S04), the image analyzing unit 150 combines the first 3D image IM1 and the second 3D image IM2 into a combined image according to the alignment condition. IMc (as shown in FIGS. 7 and 8) (step S05). Wherein, the alignment condition includes aligning the fourth image P23 with the second image P13, respectively. In other words, the lower surface P21b of the third image P21 faces (towards) the first image P11, and the second image P13 aligns with the fourth image P23, respectively, and then embeds the third image P21 into the first image P11 The first side, the third side, the second side, and the fourth side are surrounded by the area to form a combined image IMc. After the synthesis (step S05), in the combined image IMc, the fourth image P23 is inserted into the aligned second image P13. That is, the relative position of the first 3D image IM1 and the second 3D image IM2 on the X axis (as shown in FIG. 8) can be restricted by inserting the fourth image P23 into the aligned second image P13.

In some embodiments, the alignment condition may further include aligning the first intermediate point O10 of the first image P11 with the second intermediate point O20 of the third image P21. Referring to FIG. 3, the first intermediate point O10 is an intermediate point of a line connecting the intermediate point O11 of the first side of the first image P11 with the intermediate point O12 of the second side of the first image P11. Referring to FIG. 4, the second intermediate point O20 is an intermediate point of the line connecting the intermediate point O21 of the fifth side of the third image P21 with the intermediate point O22 of the sixth side of the third image P21. In other words, the first intermediate point O10 and the second intermediate point O20 can serve as anchor points for synthesis (when superimposed). In some embodiments, when performing image analysis of the first 3D image IM1 (step S03), the image analyzing unit 150 simultaneously finds the position of the first intermediate point O10 in the first 3D image IM1. And, after synthesizing (step S05), in the combined image IMc, the first middle Point O10 will overlap with the second intermediate point O20. That is, the relative position of the first 3D image IM1 and the second 3D image IM2 on the Y axis (as shown in FIG. 8) can be limited by the alignment of the first intermediate point O10 with the second intermediate point O20.

In some embodiments, referring to FIG. 6, the windshield 230 further includes a support member 235, and the support member 235 is fixed at the edge of the lower surface 231b of the glass body 231. In contrast, referring to FIG. 5, the second 3D image IM2 may further have a fifth image P25 of the support member 235, and the fifth image P25 is located at the edge of the lower surface P21b of the third image P21. The fifth image P25 defines a plurality of support points S21 to S24, and the support points S21 to S24 are distributed on the fifth side and the sixth side of the third image P21. Referring to FIG. 7, when performing image analysis of the first 3D image IM1 (step S03), the image analyzing unit 150 simultaneously finds the plurality of contact points S11 on the first image P11 with the same support settings as the support points S21 to S24. ~S14, that is, the position of the contact points S11 to S14 in the first 3D image IM1 is found. The contact points S11 to S14 are distributed on the first side and the second side of the first image P11 with respect to the positions of the support points S21 to S24 on the third image P21. Further, after the synthesis (step S05), in the combined image IMc, the support points S21 to S24 overlap with the contact points S11 to S14, respectively. That is to say, the relative positions of the first 3D image IM1 and the second 3D image IM2 on the Z axis (as shown in FIG. 8) can be limited by the overlapping of the support points S21 to S24 and the contact points S11 to S14. In some embodiments, the support setting can be a position that bisects the sides (the first side, the second side, the fifth side, and the sixth side). For example, in the case of two position points on the side of the three equal divisions, starting from the seventh side, the support point S21 is located at one third of the fifth side, and the support point S22 is at the fifth position. Two-thirds of the position points on the side, the support point S23 is located at one-third of the position of the sixth side, and the support point S24 is located at two-thirds of the position of the sixth side. Relatively, starting from the third side, the contact point S11 Located at one-third of the position of the first side, the contact point S12 is located at two-thirds of the position of the first side, and the contact point S13 is located at one-third of the position of the second side. And the contact point S14 is located at two-thirds of the position of the second side.

In an embodiment, the image analysis unit 150 may perform image synthesis using only one alignment condition (step S05). In another embodiment, the image analyzing unit 150 can perform image combining using two kinds of alignment conditions at the same time (step S05). In still another embodiment, the image analysis unit 150 can perform image synthesis using three alignment conditions at the same time (step S05).

After the synthesis (step S05), the image analyzing unit 150 detects the distance between the third image P21 and the first image P11 at each of the detection positions (L1 to L24) (step S06). In an embodiment of step S06, the image analyzing unit 150 calculates the distance between the third image P21 and the first image P11 at each of the detection positions (L1 to L24), and according to each detection. The threshold value corresponding to the position (any one of L1 to L24) and the calculated distance determine whether the vehicle 20 is qualified, that is, whether the opening size of the opening portion 211 of the vehicle 20 matches the size of the windshield 230.

In some embodiments, referring to FIG. 9 and FIG. 10, the distance may include the shortest distance between the edge of the third image P21 and the edge of the first image P11 on the detection position (any of L1 L L24) d. At this time, the threshold includes a distance threshold corresponding to the shortest distance d. In an embodiment of step S06, the image analyzing unit 150 determines the shortest value of the detected position (any one of L1 to L24) according to the distance threshold corresponding to each of the detected positions (any one of L1 to L24). Whether the distance d is acceptable.

In some embodiments, referring to FIG. 9 and FIG. 10, the distance includes the upper surface P21a of the third image P21 and the outer surface of the adjacent first image P11 on any of (L1 to L24) The difference between the h. At this time, the threshold includes a height threshold corresponding to the surface difference h. In an embodiment of step S06, the image analyzing unit 150 determines the surface obtained by the detection position (any one of L1 to L24) based on the height threshold corresponding to each of the detection positions (any one of L1 to L24). Whether the difference h is acceptable.

In some embodiments, referring to FIGS. 9 and 10, the distance includes a gap between the lower surface P21b of the third image P21 and the outer surface facing the first image P11 on any of (L1 to L24) g. At this time, the threshold includes a gap threshold corresponding to the gap g. In an embodiment of step S06, the image analyzing unit 150 determines the gap obtained by the detection position (any one of L1 to L24) according to the gap threshold corresponding to each of the detection positions (any one of L1 to L24). g is qualified.

In some embodiments, each threshold (distance threshold, altitude threshold, or gap threshold) may be preset and stored in storage unit 170 in accordance with accuracy requirements. When the image analyzing unit 150 performs the detection (step S06), it reads the required threshold value from the storage unit 170 to determine. In an embodiment, each threshold may be a value greater than or equal to zero. At this time, when the distance is greater than the corresponding threshold, the image analyzing unit 150 determines that the distance is unsatisfactory. On the other hand, when the distance is less than or equal to the corresponding threshold, the image analyzing unit 150 determines that the distance is acceptable. In another embodiment, each threshold may also be a numerical range consisting of an upper limit value and a lower limit value. At this time, when the distance does not fall within the corresponding threshold (greater than the upper limit or less than the lower limit), the image analyzing unit 150 determines that the distance is unsatisfactory. On the other hand, when the distance falls within the corresponding threshold (less than or equal to the upper limit value and greater than or equal to the lower limit value), the image analyzing unit 150 determines that the distance is acceptable.

In an embodiment, the detection of the same distance (the shortest distance d, the surface difference h, the gap g, or a combination thereof) may be performed at each detection position (any one of L1 to L24), but may also be performed. Detection of different distances, which may require adjustment settings.

In some embodiments, one or more of the detected positions L1 L L24 may be identical to the intermediate points O21, O22 and/or to the support points S21 S S24. The detection positions L1 to L24 may also be different from the intermediate points O21 and O22 and the support points S21 to S24. In other words, the position and number of the detection positions L1 to L24 can be set according to actual needs.

In some embodiments, the windshield 230 may further include a waterproof strip (not shown), and the waterproof strip is circumferentially disposed at an edge of the glass body 231. At this time, the second 3D image IM2 may further include an image P27 of the waterproof strip, as shown in FIGS. 9 and 10.

In an embodiment, the windshield 230 may be a front windshield (as shown in FIG. 6), and the opening 211 is a front opening (as shown in FIG. 7). At this time, the first 3D image IM1 is a 3D image of the front opening portion (as shown in FIG. 3), and the second 3D image IM2 is a 3D image of the front windshield (as shown in FIGS. 4 and 5). The combined image IMc is a 3D image of the 3D image of the front windshield and the 3D image of the front opening (as shown in FIGS. 7 and 8).

In another embodiment, the windshield 230 may be a rear windshield (as shown in FIG. 11), and the opening 211 is a rear opening (as shown in FIG. 12). At this time, the first 3D image IM1 is a 3D image of the rear opening portion (as shown in FIG. 13), and the second 3D image IM2 is a 3D image of the rear windshield (as shown in FIGS. 14 and 15). The combined image IMc is a 3D image of the 3D image of the rear windshield and the 3D image of the rear opening portion (as shown in FIGS. 16 and 17).

For example, the combined image IMc (shown in FIG. 7 and FIG. 8 ) of the 3D image of the previous windshield and the 3D image of the front opening is taken as an example, and the image analyzing unit 150 detects each detecting position. (any one of L1 to L24) the third image P21 and the first image P11 The distance between them (step S06), and the result of the determination as shown in Table 1 is obtained.

The unit is mm (mm). O means qualified. X indicates failure.

In another example, the combined image IMc (as shown in FIG. 16 and FIG. 17) after the 3D image of the windshield and the 3D image of the rear opening portion are taken as an example, the image analyzing unit 150 detects each The distance between the third image P21 and the first image P11 on the position (any one of L1 to L24) is detected (step S06), and the determination result as shown in Table 2 is obtained.

The unit is mm (mm). O means qualified. X indicates failure.

In some embodiments, the determination result may include the pass rate of each distance on each of the detection positions (any of L1 to L24), the overall pass rate of all the distances of all the detection positions L1 to L24, or a combination thereof.

In summary, the vehicle windshield opening detection system and method thereof according to an embodiment of the present invention provide a quick and easy detection technique, and are applicable to the opening portion 211 of the vehicle 20 before assembling the windshield 230. The size is measured, and it is further determined whether the size of the opening portion 211 matches the windshield 230, thereby reducing the physical inspection development cost and reducing the measurement man-hour.

Claims (9)

A vehicle windshield assembly detecting system includes: an image capturing device that captures a vehicle body of a vehicle to obtain image data of the vehicle body; a 3D (stereo) construction module, and constructs a body of the vehicle body based on the image data a 3D image, wherein the body has an opening, the edge of the opening has a plurality of positioning holes, and the first 3D image has a first image of the opening and a plurality of second images of the plurality of positioning holes; a storage unit storing a second 3D image of a windshield of the vehicle, wherein the windshield includes a glass body and a plurality of positioning pins fixed to a lower surface of the glass body, the plurality of positioning pins Matching the plurality of positioning holes, the second 3D image has a third image of the glass body and a plurality of fourth images of the plurality of positioning pins, and an edge of the third image defines a plurality of detection positions; The image analyzing unit performs image analysis of the first 3D image to find a position of the second plurality of images in the first 3D image, and the first 3D image is formed according to a pair of bit conditions And combining the second 3D image to form a combined image, and detecting a distance between the third image and the first image at each of the detection positions, wherein the alignment condition comprises the fourth image of the plurality The plurality of second images are respectively aligned. The vehicle windshield assembly detecting system according to claim 1, wherein the image analyzing unit determines whether the vehicle is qualified according to a threshold corresponding to each of the detected positions and the distance. The vehicle windshield assembly detecting system of claim 1, wherein the plurality of second images of the first 3D image are oriented toward and aligned with the plurality of fourth images of the second 3D image. The vehicle windshield assembly detecting system of claim 1, wherein the alignment condition further comprises aligning a first intermediate point of the first image with a second intermediate point of the third image, the first figure And having a first side and a second side opposite to each other and a third side and a fourth side opposite to each other, the first intermediate point being the middle of the first side and the middle of the second side An intermediate point of the line connecting the points, the plurality of second images being located on the third side connecting the first side and the second side, the third image having a fifth side and a sixth side opposite to each other a side edge and a seventh side edge and an eighth side edge opposite to each other, the second intermediate point being an intermediate point of a line connecting the intermediate point of the fifth side edge and the intermediate point of the sixth side edge, and the plural number The four images are located on the seventh side connecting the fifth side and the sixth side. The vehicle windshield assembly detecting system of claim 1, wherein the windshield further comprises a support member fixed at an edge of a lower surface of the glass body, the second 3D image further having a support member. a fifth image, the fifth image defines a plurality of support points, the alignment condition further comprising respectively aligning the plurality of support points of the third image with the plurality of contact points on the first image, the first The image has a first side and a second side opposite to each other and a third side and a fourth side opposite to each other, the plurality of contact points being located at the first side and the second side, the plural second The image is located on the third side connecting the first side and the second side, the third image having a fifth side and a sixth side opposite to each other and a seventh side opposite to each other The eight sides, the plurality of support points are located on the fifth side and the sixth side, and the plurality of fourth images are located on the seventh side connecting the fifth side and the sixth side. A vehicle windshield assembly detecting method includes: capturing a vehicle body of a vehicle to obtain image data of the vehicle body; constructing a first 3D image of the vehicle body based on the image data, wherein the vehicle body has an opening portion, the opening portion The edge of the first 3D image has a first image of the opening and a plurality of second images of the plurality of positioning holes; performing image analysis of the first 3D image to find the complex number Positioning the image in the first 3D image; reading a second 3D image of a windshield of the vehicle from a storage unit, wherein the windshield includes a glass body and a plurality of positioning pins, the plurality of positioning a pin is fixed on the lower surface of the glass body, the plurality of positioning pins matching the plurality of positioning holes, the second 3D image having a third image of the glass body and a plurality of fourth images of the plurality of positioning pins, and the The edge of the three images defines a plurality of detection positions; the first 3D image and the second 3D image are superimposed into a combined image according to a pair of bit conditions, wherein the alignment condition includes the complex The fourth image is respectively aligned with the plurality of second images; and detecting a distance between the third image and the first image at each of the detected positions. The vehicle windshield assembly detecting method of claim 6, wherein the detecting step comprises determining whether the vehicle is qualified according to a threshold corresponding to each of the detected positions and the distance. The vehicle windshield assembly detecting method of claim 6, wherein the alignment condition further comprises aligning a first intermediate point of the first image with a second intermediate point of the third image, the first figure And having a first side and a second side opposite to each other and a third side and a fourth side opposite to each other, the first intermediate point being the middle of the first side and the middle of the second side An intermediate point of the line connecting the points, the plurality of second images being located on the third side connecting the first side and the second side, the third image having a fifth side and a sixth side opposite to each other a side edge and a seventh side edge and an eighth side edge opposite to each other, the second intermediate point being an intermediate point of a line connecting the intermediate point of the fifth side edge and the intermediate point of the sixth side edge, and the plural number The four images are located on the seventh side connecting the fifth side and the sixth side. The vehicle windshield assembly detecting method of claim 6, wherein the windshield further comprises a support member fixed at an edge of the lower surface of the glass body, the second 3D image further having a support member a fifth image, the fifth image defines a plurality of support points, the alignment condition further comprising respectively aligning the plurality of support points of the third image with the plurality of contact points on the first image, the first The image has a first side and a second side opposite to each other and a third side and a fourth side opposite to each other, the plurality of contact points being located at the first side and the second side, the plural second The image is located on the third side connecting the first side and the second side, the third image having a fifth side and a sixth side opposite to each other and a seventh side opposite to each other The eight sides, the plurality of support points are located on the fifth side and the sixth side, and the plurality of fourth images are located on the seventh side connecting the fifth side and the sixth side.