Intelligent detection system adaptive to optical lens

Abstract

The invention relates to the technical field of optical lens detection, in particular to an intelligent detection system adaptive to an optical lens, which comprises an optical lens intelligent detection center, an optical database, a preliminary appearance evaluation analysis unit, a light detection interference quantitative analysis unit, a progressive light transmission detection unit, an imaging hierarchy evaluation unit and an evaluation feedback unit, according to the method, two points of defect extraction and appearance image of the target optical lens are analyzed preliminarily, so that whether the target optical lens has defects or not and whether the appearance is normal or not are known preliminarily, and the detection efficiency of the target optical lens is improved; the detection interference factors of the target optical lens are further analyzed in an information feedback mode so as to improve the accuracy of the subsequent detection result of the target optical lens, and the performance of the target optical lens is detected from the two angles of luminous flux and imaging images in a progressive mode so as to improve the detection comprehensiveness of the target optical lens.

Description

Technical Field

[0001] The present invention relates to the technical field of optical lens detection, and in particular to an intelligent detection system adapted for optical lenses. Background Art

[0002] For devices such as video cameras, cameras, and terminals with shooting functions, the mirror quality of their optical lenses has a significant impact on the quality of the images obtained. Therefore, in order to ensure the quality of the images captured by the device, the optical lens needs to be inspected for defects before being assembled to the device. However, except for surface defects such as mirror wear and mirror contamination that can be seen by the naked eye, which can be manually identified, optical defects involving optical lenses are difficult to accurately identify through manual identification;

[0003] However, in the prior art, defect detection is performed by a single image comparison method, resulting in large deviations in the detection structure, incomplete data, and failure to detect from two perspectives: the transmittance of the optical lens and the clarity of the image. This results in low reliability and incomplete detection of the optical lens. At the same time, it is impossible to monitor and feedback and adjust the detection interference factors, resulting in large errors in the detection structure and reduced detection efficiency of the optical lens.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide an intelligent detection system adapted for an optical lens to solve the technical defects mentioned above. The present invention preliminarily analyzes the defect extraction and appearance image of the target optical lens to preliminarily understand whether the target optical lens has defects and whether the appearance is normal, so as to improve the detection efficiency of the target optical lens. The performance of the target optical lens is detected from the two perspectives of luminous flux and imaging image in a progressive manner to improve the comprehensiveness of the target optical lens detection, that is, the actual transmittance is subjected to regional luminous flux regulation, evaluation, processing and analysis, so as to perform comparative analysis from the perspective of luminous flux, and intuitively understand the transmittance performance detection results of the target optical lens, and the imaging background information is subjected to information hierarchical processing, feedback, evaluation and analysis. On the one hand, the interference factors of imaging feature image detection are managed, and on the other hand, it helps to feedback the detection results of the target optical lens from the perspective of imaging clarity.

[0006] The object of the present invention can be achieved by the following technical solutions: an intelligent detection system adapted for optical lenses, comprising an optical lens intelligent detection center, an optical database, a preliminary external observation evaluation and analysis unit, an optical detection interference quantitative analysis unit, a progressive light transmission detection unit, an imaging hierarchical evaluation unit, and an evaluation feedback unit;

[0007] The optical lens intelligent inspection center is used to retrieve the appearance feature image of the target optical lens from the optical database, and send the appearance feature image to the preliminary external observation evaluation and analysis unit;

[0008] The preliminary appearance evaluation and analysis unit is used to extract defect features and conduct appearance defect comparison analysis on the received appearance feature image, perform discrimination processing on the obtained preliminary appearance deviation value, and obtain feedback instructions or defect signals;

[0009] The optical detection interference quantitative analysis unit is used to respond to feedback instructions, collect detection interference information of the target optical lens, evaluate the interference magnitude of the detection interference information, perform feedback analysis, and discriminate the obtained evaluation interference coefficient to obtain a normal signal or an interference signal;

[0010] The progressive light transmittance testing unit is used to respond to normal signals, collect the actual light transmittance of the target optical lens, perform regional light flux control, evaluation, processing and analysis on the actual light transmittance, and perform discrimination processing on the obtained light transmittance defect evaluation coefficient to obtain a qualified signal or a failed signal;

[0011] The imaging hierarchical evaluation unit is used to respond to normal signals and simultaneously collect the imaging background information of the target optical lens, perform information hierarchical processing feedback evaluation analysis on the imaging background information, perform discriminant analysis on the obtained clear evaluation offset coefficient, and obtain a clear signal or a blurred signal.

[0012] Preferably, the defect feature extraction and appearance defect comparison analysis process is as follows:

[0013] The detection period of the target optical lens is collected and set as the time threshold, the appearance feature image of the target optical lens within the time threshold is obtained, the appearance feature image is divided into m sub-region blocks, m is a natural number greater than zero, and defect information is extracted from each sub-region block of the appearance feature image. The defect information includes bubbles and cracks, and the defect information of each sub-region block is obtained. The defect information is processed and judged. If there is no defect information, a progressive signal is generated. If there is defect information, a display alarm signal is generated.

[0014] Preferably, when a progressive signal is generated, an appearance characteristic image of a normal optical lens is obtained, the appearance characteristic image of the normal optical lens is set as a standard appearance characteristic image, a difference value between the appearance characteristic image and the standard appearance characteristic image is obtained, and the difference value between the appearance characteristic image and the standard appearance characteristic image is set as a preliminary appearance deviation value, and the preliminary appearance deviation value is discriminated and processed to obtain a feedback instruction or a defect signal.

[0015] Preferably, the evaluation interference level processing feedback analysis process is as follows:

[0016] The detection interference information of the target optical lens within the time threshold is obtained, and the detection interference information includes the clamping interference value and the light flux interference value. The clamping interference value and the light flux interference value are compared and analyzed with the preset clamping interference value threshold and the preset light flux interference value threshold. The number of the clamping interference values ​​and the light flux interference values ​​that are greater than or equal to the preset clamping interference value threshold and the preset light flux interference value threshold is set as the evaluation interference coefficient, and the evaluation interference coefficient is discriminated and processed to obtain a normal signal or an interference signal.

[0017] Preferably, the clamping interference value indicates the acute angle value formed by the inclination of the bottom surface of the target optical lens and the horizontal workbench after clamping; the light flux interference value indicates the number of values ​​corresponding to the illumination information of the optical inspection component of the target optical lens exceeding the preset threshold, and the illumination information includes the flickering frequency and the number of flickering times of the light source.

[0018] Preferably, the regional light flux control evaluation processing and analysis process is as follows:

[0019] The target optical lens is divided into i sub-region blocks, where i is a natural number greater than zero, and the center point of each sub-region is obtained. The light transmittance of the center point of each sub-region is detected by controlling the optical detection component to obtain the standard light transmittance of the center point of each sub-region block of the normal optical lens, and then the illumination luminous flux corresponding to the standard light transmittance of the center point of each sub-region block is obtained, and it is set as the standard illumination luminous flux;

[0020] By controlling the optical detection component to detect the transmittance of the center point of each sub-region block of the target optical lens, the actual transmittance of the center point of each sub-region block is obtained, and the actual transmittance is compared and analyzed with the standard transmittance. If the actual transmittance is not equal to the standard transmittance, the illumination flux of the optical detection component is adjusted to obtain the actual illumination flux corresponding to the moment when the actual transmittance is equal to the standard transmittance. The difference between the actual illumination flux and the standard illumination flux is set as the transmittance deviation coefficient, and the transmittance deviation coefficient is processed to obtain a standard signal or a deviation signal.

[0021] Preferably, the number of sub-region blocks corresponding to the generated deviation signal is obtained, and the number of sub-region blocks corresponding to the generated deviation signal is set as the light transmission defect evaluation coefficient, and the light transmission defect evaluation coefficient is discriminated:

[0022] If the light transmission defect evaluation coefficient is equal to zero, a qualified signal is generated; if the light transmission defect evaluation coefficient is not equal to zero, an unqualified signal is generated.

[0023] Preferably, the information hierarchical processing feedback evaluation and analysis process is as follows:

[0024] Based on the principle of optical imaging, the imaging background information of the target optical lens within the time threshold is obtained, and the imaging background information includes the environmental dust concentration and the number of interfering light sources. The interfering light source represents the light source excluding the light detection component. The number of times the corresponding value of the imaging background information exceeds the preset threshold is obtained, and the number of times the corresponding value of the imaging background information exceeds the preset threshold is set as the imaging interference coefficient, and the imaging interference coefficient is discriminated and processed to obtain a valid signal or an invalid signal.

[0025] Preferably, when a valid signal is generated: an imaging characteristic image of the target optical lens within the time threshold is obtained, the imaging characteristic image is divided into g sub-region blocks, where g is a natural number greater than zero, the RGB value of each pixel grid in each sub-region block of the imaging characteristic image is obtained, and then the maximum value and the minimum value of the RGB value of the pixel grid in each sub-region block are obtained, and they are set as Smax and Smin respectively;

[0026] At the same time, the RGB value interval A[Smin, Smax] in each sub-region block is constructed according to the Smax and Smin of each sub-region block, and the RGB value interval B[ZSmin, ZSmax] of each sub-region block of the normal optical lens is obtained. The interval A[Smin, Smax] and the interval B[ZSmin, ZSmax] are compared and analyzed to obtain the value obtained by subtracting the ZSmax of the interval B from the Smax of the interval A and the value obtained by subtracting the ZSmin of the interval B from the Smin of the interval A of each sub-region block, and they are set as the peak deviation value and the valley deviation value respectively, and the peak deviation value and the valley deviation value are discriminated and analyzed to obtain the normal area and the abnormal area;

[0027] The number of abnormal areas is obtained, and the number of abnormal areas is set as a clarity evaluation offset coefficient, and the clarity evaluation offset coefficient is discriminated and analyzed to obtain a clear signal or a blurred signal.

[0028] The beneficial effects of the present invention are as follows:

[0029] (1) The present invention preliminarily analyzes the defect extraction and appearance image of the target optical lens to preliminarily understand whether the target optical lens has defects and whether the appearance is normal, so as to improve the detection efficiency of the target optical lens, and further analyzes the detection interference factors of the target optical lens by means of information feedback, that is, the detection interference information is evaluated and the interference level is processed and feedback analyzed, so as to adjust the detection interference factors of the target optical lens according to the displayed text, so as to improve the accuracy of the subsequent target optical lens detection results;

[0030] (2) The present invention detects the performance of the target optical lens from two perspectives, luminous flux and imaging image, in a progressive manner to improve the comprehensiveness of the target optical lens detection, that is, regional luminous flux regulation, evaluation, processing and analysis are performed on the actual transmittance, so as to perform comparative analysis from the perspective of luminous flux, and intuitively understand the transmittance performance detection results of the target optical lens, and hierarchical information processing, feedback, evaluation and analysis are performed on the imaging background information. On the one hand, interference factors in imaging feature image detection are managed, and on the other hand, it helps to provide feedback on the detection results of the target optical lens from the perspective of imaging clarity. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] The present invention will be further described below in conjunction with the accompanying drawings;

[0032] Figure 1 It is a flowchart of the system of the present invention;

[0033] Figure 2 It is a local analysis reference diagram of the present invention. DETAILED DESCRIPTION

[0034] 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.

[0035] Embodiment 1:

[0036] See also Figure 1 to Figure 2 As shown, the present invention is an intelligent detection system adapted for optical lenses, including an optical lens intelligent detection center, an optical database, a preliminary external observation evaluation and analysis unit, a light detection interference quantitative analysis unit, a progressive light transmission detection unit, an imaging hierarchical evaluation unit, and an evaluation feedback unit, the optical database is connected to the optical lens intelligent detection center in a one-way communication, the optical lens intelligent detection center is connected to the preliminary external observation evaluation and analysis unit in a one-way communication, the preliminary external observation evaluation and analysis unit is connected to the light detection interference quantitative analysis unit and the evaluation feedback unit in a one-way communication, the light detection interference quantitative analysis unit is connected to the progressive light transmission detection unit, the imaging hierarchical evaluation unit, and the evaluation feedback unit in a one-way communication, the progressive light transmission detection unit and the imaging hierarchical evaluation unit are connected to the evaluation feedback unit in a one-way communication;

[0037] The optical lens intelligent inspection center is used to retrieve the appearance feature image of the target optical lens from the optical database, and send the appearance feature image to the preliminary external observation evaluation and analysis unit;

[0038] The preliminary external observation evaluation and analysis unit is used to extract defect features and perform appearance defect comparison analysis on the received appearance feature image, so as to preliminarily understand whether the target optical lens has defects and whether the appearance is normal, so as to improve the detection efficiency of the target optical lens. The specific defect feature extraction and appearance defect comparison analysis process is as follows:

[0039] The detection period of the target optical lens is collected and set as a time threshold, the appearance feature image of the target optical lens within the time threshold is obtained, the appearance feature image is divided into m sub-region blocks, m is a natural number greater than zero, defect information is extracted from each sub-region block of the appearance feature image, the defect information includes bubbles, cracks, etc., the defect information of each sub-region block is obtained, and the defect information is distinguished and processed, if there is no defect information, a progressive signal is generated, if there is defect information, a display alarm signal is generated, and the display alarm signal is sent to the evaluation feedback unit, after receiving the display alarm signal, the evaluation feedback unit immediately makes a preset warning text corresponding to the display alarm signal, so as to preliminarily understand whether the target optical lens has defects, so as to improve the detection efficiency of the target optical lens;

[0040] When the progressive signal is generated, an appearance feature image of a normal optical lens is obtained, the appearance feature image of the normal optical lens is set as a standard appearance feature image, a difference value between the appearance feature image and the standard appearance feature image is obtained, the difference value between the appearance feature image and the standard appearance feature image is set as a preliminary appearance deviation value, and the preliminary appearance deviation value is discriminated:

[0041] If the preliminary appearance deviation value is less than a preset preliminary appearance deviation value threshold, a feedback instruction is generated;

[0042] If the preliminary appearance deviation value is greater than or equal to the preset preliminary appearance deviation value threshold, a defect signal is generated, and the feedback instruction or defect signal is sent to the evaluation feedback unit. After receiving the feedback instruction or defect signal, the evaluation feedback unit immediately displays the preset warning text corresponding to the feedback instruction or defect signal, so as to intuitively understand the appearance inspection result of the target optical lens;

[0043] When a feedback instruction is generated, the optical detection interference quantitative analysis unit is used to respond to the feedback instruction, collect the detection interference information of the target optical lens at the same time, and perform evaluation interference magnitude processing feedback analysis on the detection interference information, so as to adjust the detection interference factor of the target optical lens according to the displayed text, so as to improve the accuracy of the subsequent target optical lens detection results. The specific evaluation interference magnitude processing feedback analysis process is as follows:

[0044] The detection interference information of the target optical lens within the time threshold is obtained, and the detection interference information includes the clamping interference value and the light flux interference value. The clamping interference value and the light flux interference value are compared and analyzed with the preset clamping interference value threshold and the preset light flux interference value threshold. The number of the clamping interference value and the light flux interference value that are greater than or equal to the preset clamping interference value threshold and the preset light flux interference value threshold is set as the evaluation interference coefficient, and the evaluation interference coefficient is discriminated:

[0045] If the evaluation interference coefficient = 0, a normal signal is generated;

[0046] If the evaluation interference coefficient = 1 or if the evaluation interference coefficient = 2, an interference signal is generated, and the normal signal or the interference signal is sent to the evaluation feedback unit. After receiving the normal signal or the interference signal, the evaluation feedback unit immediately displays the preset warning text corresponding to the normal signal or the interference signal, so as to adjust the detection interference factor of the target optical lens according to the displayed text, so as to improve the accuracy of the subsequent target optical lens detection results;

[0047] In the embodiment of the present invention, the clamping interference value indicates the acute angle value formed by the inclination between the bottom surface of the target optical lens after clamping and the horizontal workbench. It should be noted that the larger the value of the clamping interference value, the greater the interference of the clamping of the target optical lens on the subsequent detection, and the greater the risk of abnormal reliability of the detection result;

[0048] In the embodiment of the present invention, the optical flux interference value indicates the number of times that the corresponding value of the illumination information of the optical detection component of the target optical lens exceeds the corresponding value of the preset threshold value, and the illumination information includes the light source flicker frequency, the light source flicker times, etc. It should be noted that the optical flux interference value is a parameter reflecting the influence of the light source on the detection interference of the target optical lens. The larger the value of the optical flux interference value, the greater the risk of detection error of the target optical lens.

[0049] In the embodiment of the present invention, the optical detection component refers to an optical detection light source.

[0050] Embodiment 2:

[0051] When a normal signal is generated, the progressive light transmittance measurement unit is used to respond to the normal signal, collect the actual light transmittance of the target optical lens, and perform regional light flux regulation, evaluation, processing and analysis on the actual light transmittance, so as to perform comparative analysis from the perspective of light flux, and intuitively understand the light transmittance performance test results of the target optical lens, which is helpful for in-depth detection of the light transmittance performance of the target optical lens. The specific regional light flux regulation, evaluation, processing and analysis process is as follows:

[0052] In the embodiment of the present invention, the light transmittance of the target optical lens is detected by controlling the light detection component;

[0053] The target optical lens is divided into i sub-region blocks, where i is a natural number greater than zero, and the center point of each sub-region is obtained. The light transmittance of the center point of each sub-region is detected by controlling the optical detection component to obtain the standard light transmittance of the center point of each sub-region block of the normal optical lens, and then the illumination luminous flux corresponding to the standard light transmittance of the center point of each sub-region block is obtained, and it is set as the standard illumination luminous flux;

[0054] By controlling the optical inspection component to detect the transmittance of the center point of each sub-region block of the target optical lens, the actual transmittance of the center point of each sub-region block is obtained, and the actual transmittance is compared and analyzed with the standard transmittance. If the actual transmittance is not equal to the standard transmittance, the illumination flux of the optical inspection component is adjusted to obtain the actual illumination flux corresponding to the moment when the actual transmittance is equal to the standard transmittance. The difference between the actual illumination flux and the standard illumination flux is set as the transmittance deviation coefficient, and the transmittance deviation coefficient is processed:

[0055] If the transmittance deviation coefficient falls within the preset transmittance deviation coefficient range, a standard signal is generated;

[0056] If the transmittance deviation coefficient does not fall within the preset transmittance deviation coefficient range, a deviation signal is generated;

[0057] The number of sub-region blocks corresponding to the generated deviation signal is obtained, and the number of sub-region blocks corresponding to the generated deviation signal is set as the light transmission defect evaluation coefficient, and the light transmission defect evaluation coefficient is judged:

[0058] If the light transmission defect evaluation coefficient is equal to zero, a qualified signal is generated;

[0059] If the light transmittance defect evaluation coefficient is not equal to zero, a failure signal is generated, and the qualified signal or the failed signal is sent to the evaluation feedback unit. After receiving the qualified signal or the failed signal, the evaluation feedback unit immediately displays the preset warning text corresponding to the qualified signal or the failed signal, so as to intuitively understand the light transmittance performance test result of the target optical lens;

[0060] When a normal signal is generated, the imaging hierarchical evaluation unit is used to respond to the normal signal, collect the imaging background information of the target optical lens at the same time, and perform information hierarchical processing feedback evaluation and analysis on the imaging background information. On the one hand, it manages the interference factors of imaging feature image detection, and on the other hand, it helps to feedback the detection results of the target optical lens from the perspective of imaging clarity. The specific information hierarchical processing feedback evaluation and analysis process is as follows:

[0061] Based on the principle of optical imaging, the imaging background information of the target optical lens within the time threshold is obtained. The imaging background information includes the environmental dust concentration, the number of interfering light sources, etc. The interfering light source refers to the light source excluding the light detection component. The number of values ​​corresponding to the imaging background information exceeding the preset threshold is obtained, and the number of values ​​corresponding to the imaging background information exceeding the preset threshold is set as the imaging interference coefficient, and the imaging interference coefficient is discriminated:

[0062] If the imaging interference coefficient is equal to zero, a valid signal is generated;

[0063] If the imaging interference coefficient is not equal to zero, an invalid signal is generated and sent to the evaluation feedback unit. After receiving the invalid signal, the evaluation feedback unit immediately displays the preset warning text corresponding to the invalid signal, so as to timely manage the interference factors of the imaging feature image detection, so as to improve the accuracy of subsequent imaging feature image detection;

[0064] When a valid signal is generated:

[0065] An imaging characteristic image of the target optical lens within the time threshold is obtained, and the imaging characteristic image is divided into g sub-region blocks, where g is a natural number greater than zero, and the RGB value of each pixel grid in each sub-region block of the imaging characteristic image is obtained, and then the maximum value and the minimum value of the RGB value of the pixel grid in each sub-region block are obtained, and the maximum value and the minimum value of the RGB value of the pixel grid in each sub-region block are set as Smax and Smin respectively;

[0066] At the same time, the RGB value interval A[Smin, Smax] in each sub-region block is constructed according to the Smax and Smin of each sub-region block, and the RGB value interval B[ZSmin, ZSmax] of each sub-region block of the normal optical lens is obtained. The interval A[Smin, Smax] and the interval B[ZSmin, ZSmax] are compared and analyzed to obtain the value obtained by subtracting the ZSmax of the interval B from the Smax of the interval A and the value obtained by subtracting the ZSmin of the interval B from the Smin of the interval A of each sub-region block, and set them as the peak deviation value and the valley deviation value respectively, and perform discriminant analysis on the peak deviation value and the valley deviation value:

[0067] If the peak deviation value belongs to the preset peak deviation value range, and the valley deviation value belongs to the preset valley deviation value range, then the corresponding sub-region block is judged to be a normal region;

[0068] If the peak deviation value does not belong to the preset peak deviation value range, or the valley deviation value belongs to the preset valley deviation value range, then the corresponding sub-region block is judged to be an abnormal region;

[0069] The number of abnormal areas is obtained, and the number of abnormal areas is set as the clarity evaluation offset coefficient, and the clarity evaluation offset coefficient is subjected to discriminant analysis:

[0070] If the clarity evaluation offset coefficient is equal to zero, a clarity signal is generated;

[0071] If the clear evaluation offset coefficient is not equal to zero, a blur signal is generated, and the clear signal or blur signal is sent to the evaluation feedback unit. After receiving the clear signal or blur signal, the evaluation feedback unit immediately displays the preset warning text corresponding to the clear signal or blur signal, so as to feedback the detection result of the target optical lens from the imaging clarity angle of the target optical lens, and at the same time, the detection is performed from the two angles of transmittance and imaging of the target optical lens to improve the comprehensiveness of the detection of the target optical lens;

[0072] In summary, the present invention preliminarily analyzes the defect extraction and appearance image of the target optical lens, so as to preliminarily understand whether the target optical lens has defects and whether the appearance is normal, so as to improve the detection efficiency of the target optical lens, and further analyzes the detection interference factors of the target optical lens by means of information feedback, that is, the detection interference information is evaluated and the interference magnitude is processed and feedback analyzed, so as to adjust the detection interference factors of the target optical lens according to the displayed text, so as to improve the accuracy of the subsequent target optical lens detection results;

[0073] The target optical lens performance is tested from two perspectives, luminous flux and imaging image, in a progressive manner to improve the comprehensiveness of target optical lens testing. That is, regional luminous flux regulation, evaluation, processing and analysis are performed on the actual transmittance, so that comparative analysis can be performed from the perspective of luminous flux, and the transmittance performance test results of the target optical lens can be intuitively understood. The imaging background information is processed in a hierarchical manner, feedback, evaluation and analysis are performed. On the one hand, interference factors in imaging feature image detection are managed, and on the other hand, it helps to provide feedback on the test results of the target optical lens from the perspective of imaging clarity.

[0074] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technicians in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0075] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. An intelligent detection system adapted to an optical lens, characterized in that: It includes the optical lens intelligent inspection center, optical database, preliminary external observation evaluation and analysis unit, optical interference quantitative analysis unit, progressive light transmission measurement unit, imaging hierarchical evaluation unit and evaluation feedback unit; The optical lens intelligent inspection center is used to retrieve the appearance feature image of the target optical lens from the optical database, and send the appearance feature image to the preliminary external observation evaluation and analysis unit; The preliminary appearance evaluation and analysis unit is used to extract defect features and conduct appearance defect comparison analysis on the received appearance feature image, perform discrimination processing on the obtained preliminary appearance deviation value, and obtain feedback instructions or defect signals; The optical detection interference quantitative analysis unit is used to respond to feedback instructions, collect detection interference information of the target optical lens, evaluate the interference magnitude of the detection interference information, perform feedback analysis, and discriminate the obtained evaluation interference coefficient to obtain a normal signal or an interference signal; The progressive light transmittance testing unit is used to respond to normal signals, collect the actual light transmittance of the target optical lens, perform regional light flux control, evaluation, processing and analysis on the actual light transmittance, and perform discrimination processing on the obtained light transmittance defect evaluation coefficient to obtain a qualified signal or a failed signal; The imaging hierarchical evaluation unit is used to respond to normal signals and simultaneously collect the imaging background information of the target optical lens, perform information hierarchical processing feedback evaluation analysis on the imaging background information, perform discriminant analysis on the obtained clear evaluation offset coefficient, and obtain a clear signal or a blurred signal.

2. The intelligent detection system adapted to an optical lens according to claim 1, characterized in that: The defect feature extraction and appearance defect comparison analysis process is as follows: The detection period of the target optical lens is collected and set as the time threshold, the appearance feature image of the target optical lens within the time threshold is obtained, the appearance feature image is divided into m sub-region blocks, m is a natural number greater than zero, and defect information is extracted from each sub-region block of the appearance feature image. The defect information includes bubbles and cracks, and the defect information of each sub-region block is obtained. The defect information is processed and judged. If there is no defect information, a progressive signal is generated. If there is defect information, a display alarm signal is generated.

3. The intelligent detection system adapted to an optical lens according to claim 2, characterized in that: When a progressive signal is generated, an appearance feature image of a normal optical lens is obtained, the appearance feature image of the normal optical lens is set as a standard appearance feature image, a difference value between the appearance feature image and the standard appearance feature image is obtained, and the difference value between the appearance feature image and the standard appearance feature image is set as a preliminary appearance deviation value, and the preliminary appearance deviation value is discriminated and processed to obtain a feedback instruction or a defect signal.

4. The intelligent detection system adapted to an optical lens according to claim 1, characterized in that: The evaluation interference level processing feedback analysis process is as follows: The detection interference information of the target optical lens within the time threshold is obtained, and the detection interference information includes the clamping interference value and the light flux interference value. The clamping interference value and the light flux interference value are compared and analyzed with the preset clamping interference value threshold and the preset light flux interference value threshold. The number of the clamping interference values ​​and the light flux interference values ​​that are greater than or equal to the preset clamping interference value threshold and the preset light flux interference value threshold is set as the evaluation interference coefficient, and the evaluation interference coefficient is discriminated and processed to obtain a normal signal or an interference signal.

5. The intelligent detection system adapted to an optical lens according to claim 3, characterized in that: The clamping interference value indicates the acute angle value formed by the inclination between the bottom surface of the target optical lens and the horizontal workbench after the clamping is completed; the light flux interference value indicates the number of times the corresponding value of the illumination information of the optical inspection component of the target optical lens exceeds the preset threshold, and the illumination information includes the flickering frequency and the number of flickering times of the light source.

6. The intelligent detection system adapted to an optical lens according to claim 1, characterized in that: The regional light flux control evaluation and processing analysis process is as follows: The target optical lens is divided into i sub-region blocks, where i is a natural number greater than zero, and the center point of each sub-region is obtained. The light transmittance of the center point of each sub-region is detected by controlling the optical detection component to obtain the standard light transmittance of the center point of each sub-region block of the normal optical lens, and then the illumination luminous flux corresponding to the standard light transmittance of the center point of each sub-region block is obtained, and it is set as the standard illumination luminous flux; By controlling the optical detection component to detect the transmittance of the center point of each sub-region block of the target optical lens, the actual transmittance of the center point of each sub-region block is obtained, and the actual transmittance is compared and analyzed with the standard transmittance. If the actual transmittance is not equal to the standard transmittance, the illumination flux of the optical detection component is adjusted to obtain the actual illumination flux corresponding to the moment when the actual transmittance is equal to the standard transmittance. The difference between the actual illumination flux and the standard illumination flux is set as the transmittance deviation coefficient, and the transmittance deviation coefficient is processed to obtain a standard signal or a deviation signal.

7. The intelligent detection system adapted for an optical lens according to claim 6, characterized in that: The number of sub-region blocks corresponding to the generated deviation signal is obtained, and the number of sub-region blocks corresponding to the generated deviation signal is set as the light transmission defect evaluation coefficient, and the light transmission defect evaluation coefficient is judged: If the light transmission defect evaluation coefficient is equal to zero, a qualified signal is generated; If the light transmittance defect evaluation coefficient is not equal to zero, a failed signal is generated, which can be a qualified signal or a failed signal.

8. The intelligent detection system adapted to an optical lens according to claim 1, characterized in that: The information hierarchical processing feedback evaluation and analysis process is as follows: Based on the principle of optical imaging, the imaging background information of the target optical lens within the time threshold is obtained, and the imaging background information includes the environmental dust concentration and the number of interfering light sources. The interfering light source represents the light source excluding the light detection component. The number of times the corresponding value of the imaging background information exceeds the preset threshold is obtained, and the number of times the corresponding value of the imaging background information exceeds the preset threshold is set as the imaging interference coefficient, and the imaging interference coefficient is discriminated and processed to obtain a valid signal or an invalid signal.

9. The intelligent detection system adapted to an optical lens according to claim 8, characterized in that: When a valid signal is generated: an imaging characteristic image of the target optical lens within the time threshold is obtained, the imaging characteristic image is divided into g sub-region blocks, where g is a natural number greater than zero, the RGB value of each pixel grid in each sub-region block of the imaging characteristic image is obtained, and then the maximum value and the minimum value of the RGB value of the pixel grid in each sub-region block are obtained, and they are set as Smax and Smin respectively; At the same time, the RGB value interval A[Smin, Smax] in each sub-region block is constructed according to the Smax and Smin of each sub-region block, and the RGB value interval B[ZSmin, ZSmax] of each sub-region block of the normal optical lens is obtained. The interval A[Smin, Smax] and the interval B[ZSmin, ZSmax] are compared and analyzed to obtain the value obtained by subtracting the ZSmax of the interval B from the Smax of the interval A and the value obtained by subtracting the ZSmin of the interval B from the Smin of the interval A of each sub-region block, and they are set as the peak deviation value and the valley deviation value respectively, and the peak deviation value and the valley deviation value are discriminated and analyzed to obtain the normal area and the abnormal area; The number of abnormal areas is obtained, and the number of abnormal areas is set as a clarity evaluation offset coefficient, and the clarity evaluation offset coefficient is discriminated and analyzed to obtain a clear signal or a blurred signal.

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