CN112261401B - Lens quality detection method, device and system - Google Patents
Lens quality detection method, device and system Download PDFInfo
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- CN112261401B CN112261401B CN202010946316.5A CN202010946316A CN112261401B CN 112261401 B CN112261401 B CN 112261401B CN 202010946316 A CN202010946316 A CN 202010946316A CN 112261401 B CN112261401 B CN 112261401B
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N17/00—Diagnosis, testing or measuring for television systems or their details
- H04N17/002—Diagnosis, testing or measuring for television systems or their details for television cameras
Abstract
The invention relates to the technical field of automatic detection, in particular to a method, a device and a system for detecting the quality of a lens, wherein the system comprises a controller, a jig, a turning clamp and an industrial camera, wherein the jig is respectively in communication connection with the controller; the method comprises the following steps: controlling the jig to drive the motor to perform FZ actuation towards a set direction so as to acquire an audio signal of the motor within an FZ actuation time; extracting abnormal sound audio data in the audio signal, and detecting whether the FZ of the motor acts normally or not based on the abnormal sound audio data; judging whether the jig is normal or not according to the reset voltage of the sensor in the lens; judging whether the gesture detection of the set direction is finished; the invention can judge whether the color filter normally acts, and the quality of the lens can be quickly and efficiently detected without manual processing in the detection process.
Description
Technical Field
The invention relates to the technical field of automatic detection, in particular to a method, a device and a system for detecting lens quality.
Background
The abnormal sound detection of the lens refers to the project of checking whether the motor is normally operated when the lens is zoomed, focused and the color filter, and in the prior art, the lens needs to be manually turned over to perform the work of posture confirmation, manual operation and tool checking result confirmation, manual abnormal sound listening and color filter operation viewing, and the like.
In the prior art, too many people participate in the problem that the detection efficiency is low and the quality is unstable easily. Therefore, how to detect the quality of the lens quickly and efficiently becomes an urgent problem to be solved.
Disclosure of Invention
In order to solve the above problems, the present invention provides a method, an apparatus, and a system for inspecting quality of a lens, so as to solve one or more technical problems in the prior art and provide at least one of a useful choice and a useful creation condition.
In order to achieve the purpose, the invention provides the following technical scheme:
a lens quality detection method is applied to a lens quality detection system, the system comprises a controller, jigs, a turning fixture and an industrial camera, wherein the jigs are respectively in communication connection with the controller, and the jigs are respectively and electrically connected with a motor, a sensor and a color filter which are arranged in a lens; the method comprises the following steps:
s100, controlling a jig driving motor to perform FZ action towards a set direction so as to acquire an audio signal of the motor in an FZ action time, wherein the set direction is one of an up-down direction, a left-right direction and a front-back direction, and the FZ action comprises zooming and focusing on a lens;
step S200, extracting abnormal sound audio data in the audio signal, detecting whether the FZ of the motor is normal or not based on the abnormal sound audio data, if so, executing step S300, and if not, judging that the lens is in fault;
step S300, judging whether the jig is normal or not according to the reset voltage of the sensor in the lens, if so, executing step S400, and if not, judging that the lens has a fault;
step S400, judging whether the gesture detection of the set direction is finished, if not, controlling the overturning motor to change the gesture, and executing step S100, and if so, executing step S500;
step S500, judging whether the color filter normally operates, if so, judging that the lens is normal, and if not, judging that the lens has a fault.
Further, in step S200, the extracting the abnormal tone audio data in the audio signal includes:
step S211, converting the audio signal from an analog signal to a digital signal;
step S212, at least one section of motor sound section is segmented from the digital signal according to the time required by the motor to carry out FZ actuation;
step S213, extracting the abnormal sound audio data from the motor sound paragraph.
Further, the step S212 includes:
matching the sound frequency of the FZ action of the motor with the audio signal, extracting the audio successfully matched from the audio signal and determining the audio as the motor audio;
if the continuous time of the motor audio is matched with the actuating time, determining the motor audio of the continuous time as a motor sound section.
Further, the step S213 includes:
carrying out Fourier transform on the motor sound paragraph to obtain frequency domain parameters of the motor sound paragraph;
and filtering the part of the motor sound paragraph which accords with a set frequency range to obtain abnormal sound audio data, wherein the set frequency range is the frequency range of sound when the motor performs FZ actuation under a normal working state.
Further, in step S200, the detecting whether the FZ operation of the motor is normal based on the abnormal sound audio data includes:
step S221, judging whether the amplitude of the abnormal sound audio data in the frequency domain is lower than a first amplitude threshold value, if so, executing step S222, and if not, judging that the FZ of the motor is abnormal in action;
step S222, performing inverse Fourier transform on the abnormal sound audio data to obtain time domain parameters of the abnormal sound audio data;
step S223 detects whether the FZ operation of the motor is normal based on the amplitude of the abnormal sound audio data in the time domain.
Further, the step S223 includes:
and judging whether the abnormal sound audio data has a part with the amplitude exceeding a second amplitude threshold value in the time domain and the duration exceeding a time threshold value, if so, judging that the FZ of the motor acts abnormally, and if not, judging that the FZ of the motor acts normally.
Further, in step S500, the determining whether the color filter is normally operated includes:
the method comprises the steps of respectively shooting one color picture before and after the color filter is switched, respectively extracting bright spots of red channels in the two color pictures, judging that the color filter normally operates if the difference of the number of the bright spots of the red channels in the two color pictures exceeds a number threshold, and otherwise judging that the color filter abnormally operates.
A lens quality detection system, the system comprising: the device comprises a controller, a jig, a turning clamp and an industrial camera, wherein the jig is in communication connection with the controller respectively, and the jig is electrically connected with a motor, a sensor and a color filter which are arranged in a lens respectively;
the jig is used for generating a pulse signal according to a control instruction of the controller so as to drive a motor of the lens to perform FZ actuation, and the FZ actuation comprises zooming and focusing on the lens; and a voltage detector for detecting a voltage of the sensor to determine whether the motor is normal, the voltage of the sensor being changed as the motor performs the FZ operation;
the overturning clamp is used for clamping the lens, driving the motor to run towards a set direction according to a driving instruction of the controller, and collecting an audio signal when the motor performs FZ actuation;
the industrial camera is used for shooting a color picture of the color filter according to the shooting instruction of the controller;
the controller includes: a memory, a processor and a computer program stored in the memory and executable on the processor, the computer program when executed by the processor implementing the shot quality detection method as claimed in any one of the above.
A lens quality detection apparatus, the apparatus comprising: a memory, a processor and a computer program stored in the memory and executable on the processor, the computer program when executed by the processor implementing the shot quality detection method as claimed in any one of the above.
A computer-readable storage medium having stored thereon a computer program which, when being executed by a processor, carries out the steps of the shot quality detection method according to any one of the preceding claims.
The invention has the beneficial effects that: the invention discloses a method, a device and a system for detecting the quality of a lens, wherein the embodiment provided by the invention detects whether the FZ of a motor is normally actuated or not on the basis of abnormal sound audio data by extracting the abnormal sound audio data in an audio signal, so that the problem of unstable quality caused by artificial listening to the abnormal sound is avoided; by determining whether the gesture detection of the set direction has been completed; by judging whether the color filter normally acts or not, the problem of unstable quality caused by the fact that a worker sees the action of the color filter is avoided; the jig, the overturning fixture and the industrial camera are automatically controlled by the controller, so that the detection efficiency is improved; the invention can quickly and efficiently detect the quality of the lens without manual processing in the detection process.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
Fig. 1 is a schematic flowchart of a shot quality detection method according to an embodiment of the present invention;
fig. 2 is a block diagram of a lens quality detection system according to an embodiment of the present invention;
FIG. 3 is a schematic flow chart of step S200 in the embodiment of the present invention;
fig. 4 is another schematic flow chart of step S200 in the embodiment of the present invention.
Detailed Description
The conception, specific structure and technical effects of the present disclosure will be clearly and completely described below in conjunction with the embodiments and the accompanying drawings to fully understand the objects, aspects and effects of the present disclosure. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
Referring to fig. 1 and 2, an embodiment of the present disclosure provides a lens quality detection method applied to a lens quality detection system, where the system includes a controller, jigs respectively connected to the controller in a communication manner, a turning fixture, and an industrial camera, and the jigs are respectively electrically connected to a motor, a sensor, and a color filter disposed in a lens; the method comprises the following steps:
s100, controlling a jig to drive a motor to perform FZ actuation towards a set direction so as to acquire an audio signal of the motor within FZ actuation time;
the setting direction is one of an up-down direction, a left-right direction and a front-back direction, and the FZ action comprises zooming and focusing on the lens;
it should be noted that the orientation description related to the present embodiment, such as the directions or positional relationships indicated by upper, lower, front, rear, left, right, etc., are based on the operation direction of the motor, and are only for convenience of description and simplification of description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present disclosure.
Step S200, extracting abnormal sound audio data in the audio signal, detecting whether the FZ of the motor is normal or not based on the abnormal sound audio data, if so, executing step S300, and if not, judging that the lens is in fault;
step S300, judging whether the jig is normal or not according to the reset voltage of the sensor in the lens, if so, executing step S400, and if not, judging that the lens has a fault;
step S400, judging whether the gesture detection of the set direction is finished, if not, controlling the overturning motor to change the gesture, and executing step S100, and if so, executing step S500;
step S500, judging whether the color filter works normally, if so, judging that the lens is normal, and if not, judging that the lens has a fault.
The FZ action of the motor towards the set direction means that the motor runs from one end to the other end along the set direction to zoom and focus the lens, and the FZ action time is a fixed value for a determined lens.
Referring to fig. 3, in a modified embodiment, in step S200, the extracting the abnormal tone audio data in the audio signal includes:
step S211, converting the audio signal from an analog signal to a digital signal;
step S212, at least one section of motor sound section is segmented from the digital signal according to the time required by the motor to perform FZ actuation;
step S213, extracting the abnormal sound audio data from the motor sound paragraph.
It should be noted that the time required for the motor to perform FZ actuation depends on the type of the lens, and in some embodiments, the time for a sound segment of the motor is 1 ms;
in a modified embodiment, the step S212 includes:
matching the sound frequency of the FZ action of the motor with the audio signal, extracting the audio successfully matched from the audio signal and determining the audio as the motor audio;
if the continuous time of the motor audio frequency is matched with the actuation time, the motor audio frequency of the continuous time is determined as a motor sound paragraph.
In a modified embodiment, the step S213 includes:
carrying out Fourier transform on the motor sound paragraph to obtain frequency domain parameters of the motor sound paragraph;
and filtering the part of the motor sound paragraph which accords with a set frequency range to obtain abnormal sound audio data, wherein the set frequency range is the frequency range of sound when the motor performs FZ actuation under a normal working state.
Referring to fig. 4, in a modified embodiment, the detecting whether the FZ action of the motor is normal based on the abnormal tone audio data in step S200 includes:
step S221, judging whether the amplitude of the abnormal sound audio data in the frequency domain is lower than a first amplitude threshold value, if so, executing step S222, and if not, judging that the FZ of the motor does not work normally;
it is understood that the abnormal tone audio data is the abnormal tone audio data processed in step S213.
Step S222, performing inverse Fourier transform on the abnormal sound audio data to obtain time domain parameters of the abnormal sound audio data;
it is understood that the abnormal tone audio data is the abnormal tone audio data processed in step S213.
Step S223, detecting whether the FZ operation of the motor is normal based on the amplitude of the abnormal-tone audio data in the time domain.
In step S221, the abnormal sound data is the sound frequency of the FZ operation performed by the motor in the normal operation state, and in this embodiment, the first amplitude threshold is 80 dB.
In a modified embodiment, said step S223 includes:
and judging whether the abnormal sound audio data has a part with the amplitude exceeding a second amplitude threshold value in the time domain and the duration exceeding a time threshold value, if so, judging that the FZ of the motor acts abnormally, and if not, judging that the FZ of the motor acts normally.
In a specific embodiment, the second amplitude threshold is 47dB and the time threshold is 1 second.
In a modified embodiment, the determining whether the color filter is normally operated in step S500 includes:
the method comprises the steps of respectively shooting one color picture before and after the color filter is switched, respectively extracting bright spots of red channels in the two color pictures, judging that the color filter normally operates if the difference of the number of the bright spots of the red channels in the two color pictures exceeds a number threshold, and otherwise judging that the color filter abnormally operates.
In a specific embodiment, the number threshold is 5000 points.
Referring to fig. 2 again, an embodiment of the present invention further provides a lens quality detection system, where the system includes: the device comprises a controller, a jig, a turning clamp and an industrial camera, wherein the jig is in communication connection with the controller respectively, and the jig is electrically connected with a motor, a sensor and a color filter which are arranged in a lens respectively;
the jig is used for generating a pulse signal according to a control instruction of the controller so as to drive a motor of the lens to perform FZ actuation, and the FZ actuation comprises zooming and focusing of the lens; and a voltage detector for detecting a voltage of the sensor to determine whether the motor is normal, the voltage of the sensor being changed as the motor performs the FZ operation;
the pulley is connected to the motor, the pulley is driven to run in the FZ actuation process of the motor, when the pulley runs, the sensor is shielded, a shielded area of the sensor changes with the position of the pulley, and the voltage of the sensor changes correspondingly with the change of the shielded area of the sensor; that is, the voltage of the sensor changes as the motor performs FZ actuation; in an exemplary embodiment, the sensor employs a light sensitive sensor.
In this embodiment, before the motor performs FZ actuation, the voltage of the sensor is detected once, then the jig generates a pulse signal to drive the motor to perform FZ actuation, and the pulley performs a reciprocating motion under the driving of the motor, so that it can be understood that the pulley is reset to the original position under the normal operation of the motor; and after the pulley finishes one reciprocating motion, detecting the voltage of the sensor once again, comparing the voltages of the sensor obtained by two times of detection before and after the motor performs FZ action, if the comparison result is consistent, indicating that the pulley is reset to the original position, judging that the motor is normal, otherwise, indicating that the motor is abnormal.
The overturning clamp is used for clamping the lens, driving the motor to run towards a set direction according to a driving instruction of the controller, and collecting an audio signal when the motor performs FZ actuation;
the industrial camera is used for shooting a color picture of the color filter according to the shooting instruction of the controller;
the controller includes: a memory, a processor and a computer program stored in the memory and executable on the processor, the computer program when executed by the processor implementing the shot quality detection method as claimed in any one of the above.
The invention also provides a lens quality detection device, which comprises: a memory, a processor and a computer program stored in the memory and executable on the processor, the computer program when executed by the processor implementing the shot quality detection method as claimed in any one of the above.
The present invention also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the shot quality detection method as described in any one of the above.
The lens quality detection device can be operated in computing equipment such as desktop computers, notebooks, palm computers and cloud servers. The lens quality detection device, which can be operated, can include, but is not limited to, a processor, a memory. It will be understood by those skilled in the art that the examples are merely examples of the lens quality detection apparatus, and do not constitute a limitation of the lens quality detection apparatus, and may include more or less components than the above, or combine some components, or different components, for example, the lens quality detection apparatus may further include an input-output device, a network access device, a bus, etc.
The Processor may be a Central-Processing Unit (CPU), other general-purpose Processor, a Digital Signal Processor (DSP), an Application-Specific-Integrated-Circuit (ASIC), a Field-Programmable Gate array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, a discrete hardware component, or the like. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, the processor being the control center of the lens quality inspection apparatus, and various interfaces and lines connecting the various parts of the entire lens quality inspection apparatus operable apparatus.
The memory may be used to store the computer program and/or module, and the processor may implement various functions of the lens quality inspection apparatus by executing or executing the computer program and/or module stored in the memory and calling data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart-Media-Card (SMC), a Secure-Digital (SD) Card, a Flash-memory Card (Flash-Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
While the present disclosure has been described in considerable detail and with particular reference to a few illustrative embodiments thereof, it is not intended to be limited to any such details or embodiments or any particular embodiments, but it is to be construed as effectively covering the intended scope of the disclosure by providing a broad, potential interpretation of such claims in view of the prior art with reference to the appended claims. Furthermore, the foregoing describes the disclosure in terms of embodiments foreseen by the inventor for which an enabling description was available, notwithstanding that insubstantial modifications of the disclosure, not presently foreseen, may nonetheless represent equivalent modifications thereto.
Claims (6)
1. The lens quality detection method is characterized by being applied to a lens quality detection system, wherein the system comprises a controller, a jig, a turning fixture and an industrial camera, wherein the jig is respectively in communication connection with the controller; the method comprises the following steps:
s100, controlling a jig driving motor to perform FZ action towards a set direction so as to acquire an audio signal of the motor in an FZ action time, wherein the set direction is one of an up-down direction, a left-right direction and a front-back direction, and the FZ action comprises zooming and focusing on a lens; the FZ actuation of the motor towards the set direction means that the motor runs from one end to the other end along the set direction to zoom and focus the lens, and the FZ actuation time is a fixed value for a determined lens;
step S200, extracting abnormal sound audio data in the audio signal, detecting whether the FZ of the motor is normal or not based on the abnormal sound audio data, if so, executing step S300, and if not, judging that the lens is in fault;
step S300, judging whether the motor is normal or not according to the reset voltage of the sensor in the lens, if so, executing step S400, and if not, judging that the lens has a fault;
step S400, judging whether the posture detection of each set direction is finished, if not, controlling the overturning fixture overturning motor to change the posture, and executing step S100, and if so, executing step S500;
step S500, judging whether the color filter normally acts, if so, judging that the lens is normal, and if not, judging that the lens has a fault;
in step S200, the extracting the abnormal tone audio data in the audio signal includes:
step S211, converting the audio signal from an analog signal to a digital signal;
step S212, at least one section of motor sound section is segmented from the digital signal according to the time required by the motor to perform FZ actuation;
step S213, extracting abnormal sound audio data from the motor sound paragraph;
the step S213 includes:
fourier transforming the motor sound segment;
filtering out the sound paragraph of the motor which is in accordance with a set frequency range to obtain abnormal sound audio data, wherein the set frequency range is the corresponding frequency range when the motor performs FZ actuation under a normal working state;
in step S300, the determining whether the motor is normal according to the reset voltage of the sensor in the lens includes:
after the FZ action is completed, detecting the voltage of the sensor;
comparing the voltage of the sensor detected after the FZ actuation is finished with the voltage of the sensor detected before the motor performs the FZ actuation;
if the comparison result is consistent, judging that the motor is normal, otherwise, judging that the motor is abnormal;
the motor is connected with a pulley, the jig sends a pulse signal to drive the motor to drive the pulley to run in the FZ actuation process, when the pulley runs, a sensor is shielded, the shielded area of the sensor changes along with the position of the pulley, the voltage of the sensor also changes along with the change of the shielded area of the sensor, and under the normal condition of the motor, the pulley resets to the original position after one FZ actuation;
in step S500, the determining whether the color filter is normally activated includes:
and respectively shooting one color picture by the industrial camera before and after the color filter is switched, respectively extracting bright spots of red channels in the two color pictures, if the difference of the number of the bright spots of the red channels in the two color pictures exceeds a number threshold, judging that the color filter normally operates, otherwise, judging that the color filter abnormally operates.
2. The method as claimed in claim 1, wherein the step S200 of detecting whether the FZ action of the motor is normal based on the abnormal tone audio data comprises:
step S221, judging whether the amplitude of the abnormal sound audio data in the frequency domain is lower than a first amplitude threshold value, if so, executing step S222, and if not, judging that the FZ of the motor is abnormal in action;
step S222, performing inverse Fourier transform on the abnormal sound audio data;
step S223 detects whether the FZ operation of the motor is normal based on the amplitude of the abnormal sound audio data in the time domain.
3. The lens quality detection method according to claim 2, wherein the step S223 comprises:
and judging whether the abnormal sound audio data has a part with the amplitude exceeding a second amplitude threshold value in the time domain and the duration exceeding a time threshold value, if so, judging that the FZ of the motor acts abnormally, and if not, judging that the FZ of the motor acts normally.
4. A lens quality detection system, the system comprising: the device comprises a controller, a jig, a turning clamp and an industrial camera, wherein the jig is in communication connection with the controller respectively, and the jig is electrically connected with a motor, a sensor and a color filter which are arranged in a lens respectively;
the jig is used for sending a pulse signal according to a control instruction of the controller so as to drive a motor of the lens to perform FZ actuation, and the FZ actuation comprises zooming and focusing of the lens; and a voltage detector for detecting a voltage of the sensor to determine whether the motor is normal, the voltage of the sensor being changed as the motor performs the FZ operation; the FZ action of the motor towards the set direction means that the motor runs from one end to the other end along the set direction to zoom and focus the lens, and the FZ action time is a fixed value for a determined lens;
the overturning fixture is used for overturning the motor according to a driving instruction of the controller and acquiring an audio signal when the motor performs FZ actuation;
the industrial camera is used for shooting color pictures before and after the color filter is switched according to the shooting instruction of the controller;
the controller includes: a memory, a processor and a computer program stored in the memory and executable on the processor, the computer program, when executed by the processor, implementing the shot quality detection method according to any one of claims 1 to 3.
5. A lens quality inspection apparatus, characterized in that the apparatus comprises: a memory, a processor and a computer program stored in the memory and executable on the processor, the computer program, when executed by the processor, implementing the shot quality detection method according to any one of claims 1 to 3.
6. A computer-readable storage medium, characterized in that a computer program is stored thereon, which computer program, when being executed by a processor, carries out the steps of the shot quality detection method according to any one of claims 1 to 3.
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| CN114727014B (en) * | 2022-03-21 | 2023-12-22 | 成都市联洲国际技术有限公司 | Split-plate focusing system, control method and storage medium |
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