Algorithm for maximum stain-accommodating diameter standard of camera module

Abstract

The invention discloses a camera module maximum stain accommodating diameter standard algorithm, which comprises a camera module, the camera module is composed of a lens body and a lens mount module, and the lens mount module is internally provided with an IR sheet; the sequence light of the camera module passes through the lens body and the lens mount module; the camera module comprises a lens body and a lens mount module, the lens body is provided with a plurality of sequence light rays, the sequence light rays pass through P1, P2 and P3 of the lens body, the sequence light rays pass through an IR sheet of the lens mount module and a light sensing surface of a chip, the maximum foreign matter containing diameter of the camera module meets the formula phi = (PI * (D2 / 2) 2) * (1-RELI), and the formula can effectively calculate the size of the maximum foreign matter containing diameter according to different camera modules and the IR sheets at different positions. According to the optical characteristics of different types of camera modules, the maximum stain diameter which does not influence the image quality of the camera is automatically calculated, so that the purposes of reducing quality misjudgment, improving the production efficiency, reducing the cost, reducing stains and avoiding the problems of finished camera modules are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of camera modules, and in particular to an algorithm for a camera module's maximum tolerant stain diameter standard. Background Art

[0002] The assembly and index detection of traditional camera modules mainly rely on manual operation and visual judgment. As the working hours increase, the workers' production efficiency will decrease, the error rate will increase, and the production cost will be relatively high. Such production processes and processes are a big problem for ensuring the consistency of high-quality products.

[0003] At present, there is no unified standard for quality inspection of foreign objects, and the most appropriate foreign object detection standard has not been defined according to the specific components of different camera modules, which will cause excess quality and cost waste. In reality, foreign objects of the same size will have different effects on camera modules with different optical paths. This will lead to the situation that if the inspection is carried out according to the unified standard of foreign object diameter, the component inspection results and the module assembly inspection results may be inconsistent, resulting in various cost wastes.

[0004] Therefore, to address this type of problem, we have designed an algorithm to meet the maximum stain diameter standard of the camera module. Summary of the invention

[0005] In order to overcome the above-mentioned shortcomings, the present invention aims to provide a technical solution that can solve the above-mentioned problems.

[0006] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: an algorithm for the maximum stain diameter standard of a camera module, comprising a camera module, wherein the camera module is composed of a lens body and a lens mount module, and an IR sheet is arranged inside the lens mount module; the sequence light of the camera module passes through the lens body and the lens mount module; the sequence light passes through P1, P2 and P3 of the lens body, and the sequence light passes through the IR sheet of the lens mount module and the photosensitive surface of the chip.

[0007] As a further solution of the present invention: there is a foreign object on the IR chip. When the sequence light passes through the foreign object on the IR chip and is projected onto the photosensitive surface of the chip, the energy of the photosensitive surface of the chip is uneven, thereby forming a black shadow.

[0008] As a further solution of the present invention: the lens body has D1, y1, y2, d, l, θ, ψ1 and ψ2 at P1.

[0009] As a further solution of the present invention: wherein D1 is the entrance pupil diameter, d is the distance from the entrance pupil to the intersection of the light ray and the first incident surface, θ is the half field of view angle, ψ1 is the incident angle of the light ray at y1, ψ2 is the incident angle of the light ray at y2, and l is the lateral distance between the two surfaces.

[0010] As a further solution of the present invention: the lens holder module has φ, D2, y1 j and y2 j .

[0011] As a further solution of the present invention: by calculating the ratio of the cross-sectional area of ​​the light beam passing through the foreign object in each field of view RELI, the maximum size of the foreign object can be reversely deduced, wherein RELI is the standard for the camera module software to judge the size of the foreign object, and the maximum foreign object diameter φ accommodated by the camera module is φ = (PI*(D2 / 2)2)*(1-RELI), and the RELI standard is 0.75.

[0012] As a further solution of the present invention: D2=y2j-y1j, wherein D2 is the diameter of the light beam to the foreign object surface, and j is the surface number where the foreign object appears.

[0013] As a further solution of the present invention: the surface of the IR film where the foreign matter appears is the 7th surface, j=7.

[0014] As a further scheme of the present invention: wherein, the ordinate position of the light ray w∈[0,1] passing through the normalized entrance pupil diameter py=-w on the jth surface is calculated from the first surface to the jth surface by the formula y1j=d*tan(θ)-(tan(θ-(arcsin(sinψ1(j-1)*n(j-1) / nj)-ψ1(j-1))*lj).

[0015] As a further scheme of the present invention: wherein, the ordinate position of the light with normalized entrance pupil diameter py=w on the jth surface is calculated from the first surface to the jth surface by the formula y2j=(d*tan(θ)+D1)-(∑(j≥1)tan(θ-(arcsin(sinψ2(j-1)*n(j-1) / nj)-ψ2(j-1))*lj).

[0016] Compared with the prior art, the present invention has the following beneficial effects:

[0017] The maximum foreign matter diameter that the camera module of the present invention can accommodate satisfies the formula φ=(PI*(D2 / 2)2)*(1-RELI). This formula can effectively calculate the size of the maximum foreign matter diameter that can be accommodated according to different camera modules and IR sheets in different positions, and automatically calculate the maximum stain diameter that does not affect the camera image quality according to the optical characteristics of different types of camera modules, thereby reducing quality misjudgments, improving production efficiency, reducing costs, reducing stains, and avoiding camera module finished product problems. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a schematic diagram of the names of the components of the camera module of the present invention;

[0019] Figure 2 It is a schematic diagram of the propagation path of the sequence light of the present invention passing through the foreign matter of the camera module;

[0020] Figure 3 is an enlarged schematic diagram of the lens body of the present invention;

[0021] Figure 4 It is an enlarged schematic diagram of the lens holder module of the present invention.

[0022] The reference numerals and names in the figures are as follows:

[0023] 1. Lens body; 2. Lens mount module; 3. IR film. DETAILED DESCRIPTION

[0024] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0025] See also Figure 1-4 An algorithm for the maximum stain diameter standard of a camera module includes a camera module, which is composed of a lens body 1 and a lens mount module 2, wherein an IR film 3 is arranged inside the lens mount module 2; the sequence light of the camera module passes through the lens body 1 and the lens mount module 2; the sequence light passes through P1, P2 and P3 of the lens body 1, and the sequence light passes through the IR film 3 of the lens mount module 2 and the photosensitive surface of the chip.

[0026] Further, see Figure 4 There is a foreign object on the IR sheet 3. When the sequence light passes through the foreign object on the IR sheet 3 and is projected onto the photosensitive surface of the chip, the energy of the photosensitive surface of the chip is uneven, thus forming a black shadow.

[0027] Further, see Figure 3 , at P1 of the lens body 1, there are D1, y1, y2, d, l, θ, ψ1 and ψ2; among them, D1 is the entrance pupil diameter, d is the distance from the entrance pupil to the intersection of the light and the first incident surface, θ is the half field angle, ψ1 is the incident angle of the light at y1, ψ2 is the incident angle of the light at y2, and l is the lateral distance between the two surfaces.

[0028] Further, see Figure 4 , lens mount module 2 has φ, D2, y1 j and y2 j; The maximum size of the foreign object can be inferred by calculating the ratio of the cross-sectional area of ​​the light beam passing through the foreign object in each field of view, RELI, where RELI is the standard for the camera module software to judge the size of the foreign object. The maximum foreign object diameter φ that the camera module can accommodate is (PI*(D2 / 2)2)*(1-RELI), and the RELI standard is 0.75; D2=y2j-y1j, where D2 is the diameter of the light beam to the foreign object surface, and j is the surface number where the foreign object appears; the surface of IR film 3 where the foreign object appears is the 7th surface, j=7.

[0029] Further, where w∈[0,1], the ordinate position of the light ray with normalized entrance pupil diameter py=-w on the jth surface is calculated from the first surface to the jth surface by the formula y1j=d*tan(θ)-(tan(θ-(arcsin(sinψ1(j-1)*n(j-1) / nj)-ψ1(j-1))*lj), where the ordinate position of the light ray with normalized entrance pupil diameter py=w on the jth surface is calculated from the first surface to the jth surface by the formula y2j=(d*tan(θ)+D1)-(tan(θ-(arcsin(sinψ2(j-1)*n(j-1) / nj)-ψ2(j-1))*lj.

[0030] As attached Figure 1 As shown, the sequence light of this 5M camera module passes through the lens body 1 and the lens holder module 2, the sequence light passes through P1, P2 and P3 of the lens body 1, the sequence light passes through the IR film 3 and the chip photosensitive surface of the lens holder module 2, and further, the sequence light passes through the foreign matter on the IR film 3 and is projected onto the chip photosensitive surface, causing uneven energy on the chip photosensitive surface to form a black shadow.

[0031] The foreign matter appears on the surface of the IR film 3. Further, this surface is the 7th surface j=7. Through the formula calculation, the D2 of this camera module is calculated to be 0.183mm. The RELI standard is 0.75 (the commonly used implementation standard for current module software). Further calculation shows that the maximum foreign matter diameter of the camera module is φ=91.5um.

[0032] The maximum size of foreign matter that can be accommodated is inferred by calculating the ratio of the cross-sectional area of ​​the light beam passing through the foreign matter in each field of view, RELI, where RELI is the standard for the camera module software to determine the size of foreign matter. The maximum foreign matter diameter φ that can be accommodated by the camera module is SQRT(D22*(1-RELI)), w∈[0,1]. The ordinate position of the light with a normalized entrance pupil diameter py=-w on the jth surface is calculated from the first surface to the jth surface by the formula y1j=d*tan(θ)-(tan(θ-(arcsin(sinψ1(j-1)*n(j-1) / nj)-ψ1(j-1))*lj; The ordinate position of the light ray with diameter py=w on the jth surface is calculated from the first surface to the jth surface by the formula y2j=(d*tan(θ)+D1)-(tan(θ-(arcsin(sinψ2(j-1)*n(j-1) / nj)-ψ2(j-1))*lj); D2=y2j-y1j; wherein D2 is the beam diameter to the foreign object surface, d is the distance from the entrance pupil to the intersection of the light ray and the first incident surface, θ is the half field of view angle, ψ1 is the incident angle of the light ray at y1, ψ2 is the incident angle of the light ray at y2, j is the surface number where the foreign object appears, n is the refractive index, l is the lateral distance between the two surfaces, and D1 is the entrance pupil diameter.

[0033] In view of the current technical shortcomings, the present invention automatically calculates the maximum stain diameter that does not affect the camera image quality according to the optical characteristics of different types of camera modules, avoids misjudgment, improves production efficiency, reduces costs, reduces stains, and avoids camera module finished product problems.

[0034] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. An algorithm for the maximum tolerance of stain diameter of a camera module, characterized in that: The camera module comprises a lens body (1) and a lens seat module (2), wherein an IR sheet (3) is arranged inside the lens seat module (2); The sequence light of the camera module passes through the lens body (1) and the lens holder module (2); The sequence of light passes through P1, P2 and P3 of the lens body (1), and the sequence of light passes through the IR sheet (3) of the lens seat module (2) and the photosensitive surface of the chip.

2. The algorithm for the maximum stain diameter standard of a camera module according to claim 1 is characterized in that: There is a foreign object on the IR sheet (3). When the sequence light passes through the foreign object on the IR sheet (3) and is projected onto the photosensitive surface of the chip, the energy of the photosensitive surface of the chip is uneven, thereby forming a black shadow.

3. The algorithm for the maximum stain diameter tolerance standard of a camera module according to claim 1, characterized in that: The lens body (1) has D1, y1, y2, d, l, θ, ψ1 and ψ2 at P1.

4. The algorithm for the maximum stain diameter tolerance standard of a camera module according to claim 3 is characterized in that: in, D1 is the entrance pupil diameter, d is the distance from the entrance pupil to the intersection of the light and the first incident surface, θ is the half field angle, ψ1 is the incident angle of the light at y1, ψ2 is the incident angle of the light at y2, and l is the lateral distance between the two surfaces.

5. The algorithm for the maximum stain diameter standard of a camera module according to claim 1, characterized in that: The lens holder module (2) has φ, D2, y1 j and y2 j .

6. The algorithm for the maximum stain diameter tolerance standard of a camera module according to claim 5, characterized in that: The maximum size of foreign matter that can be accommodated is deduced by calculating the ratio of the cross-sectional area of ​​the light beam passing through the foreign matter in each field of view, RELI, where RELI is the standard for the camera module software to determine the size of foreign matter. The maximum foreign matter diameter that can be accommodated by the camera module is φ = (PI*(D2 / 2)2)*(1-RELI), and the RELI standard is 0.

75.

7. The algorithm for the maximum stain diameter tolerance standard of a camera module according to claim 5, characterized in that: D2=y2j-y1j, where D2 is the diameter of the light beam to the foreign object surface and j is the surface number where the foreign object appears.

8. The algorithm for the maximum stain diameter tolerance standard of a camera module according to claim 7, characterized in that: The surface of the IR sheet (3) where the foreign matter appears is the 7th surface, j=7.

9. The algorithm for the maximum stain diameter tolerance standard of a camera module according to claim 1, characterized in that: in, The vertical coordinate position of the light ray with normalized entrance pupil diameter py=-w on the jth surface is calculated from the first surface to the jth surface by the formula y1j=d*tan(θ)-(tan(θ-(arcsin(sinψ1(j-1)*n(j-1) / nj)-ψ1(j-1))*lj).

10. The algorithm for the maximum stain diameter tolerance standard of a camera module according to claim 1, characterized in that: in, The vertical coordinate position of the light ray with normalized entrance pupil diameter py=w on the jth surface is calculated from the first surface to the jth surface by the formula y2j=(d*tan(θ)+D1)-(tan(θ-(arcsin(sinψ2(j-1)*n(j-1) / nj)-ψ2(j-1))*lj).

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