CN114152595A - Double-light-source detection and identification method and system - Google Patents
Double-light-source detection and identification method and system Download PDFInfo
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- CN114152595A CN114152595A CN202111015175.6A CN202111015175A CN114152595A CN 114152595 A CN114152595 A CN 114152595A CN 202111015175 A CN202111015175 A CN 202111015175A CN 114152595 A CN114152595 A CN 114152595A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/55—Specular reflectivity
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/59—Transmissivity
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/55—Specular reflectivity
- G01N2021/558—Measuring reflectivity and transmission
Abstract
The invention belongs to the technical field of imaging spectrum, and particularly relates to a double-light-source detection and identification method, which comprises a first light source and a second light source, and comprises the following steps: arranging a first light source at one side of a detection table, arranging a second light source at the other side of the detection table, and moving an object to be detected to the center of the detection table; starting a first light source and a second light source to irradiate an object to be detected; irradiating the surface of the object to be detected by a first light source, collecting reflected light of the object to be detected irradiated by the first light source through an output light path, and inputting the reflected light into a spectrometer; if the object to be detected is a transparent object, irradiating the back surface of the object to be detected by a second light source, collecting transmission light of the object to be detected irradiated by the second light source through an output light path, and inputting the transmission light into a spectrometer; according to the spectral data of the object to be detected, the material information of the object to be detected is analyzed and acquired, and the user can detect and identify the transparent object and the non-transparent object simultaneously without repeatedly adjusting the building mode of the light path.
Description
Technical Field
The invention belongs to the technical field of imaging spectrum, and particularly relates to a double-light-source detection and identification method and system.
Background
With the increasing awareness of environmental protection, garbage classification has become an important way to protect the environment. However, the classification of garbage by manual operation is inefficient because of the various types of garbage. Therefore, the safe and efficient classification of garbage becomes an important step for protecting the environment.
At present, the method for classifying by acquiring a garbage spectral image is available in the market, when garbage spectral data is acquired, an intended reflection light path for detecting the material of an opaque object is detected, and a light source and a spectrometer are arranged on the same side of the object; when the material of the transparent object is detected, most of light penetrates through the transparent object, only little light is reflected to enter the spectrometer, and the transparent object is difficult to detect through a transmission light path, so the transmission light path for the object, the light source and the spectrometer are respectively arranged at two sides of the object; because the rubbish type is various, transparent object and non-transparent object can appear jointly usually, when detecting discernment transparent and opaque object, need constantly to change the mode of setting up of light path, lead to the testing process loaded down with trivial details, greatly reduced the efficiency and the intellectuality of detection. Therefore, it is necessary to design a dual light source detection and identification method and system.
Disclosure of Invention
The invention aims to provide a double-light-source detection and identification method and system, and aims to solve the technical problems that detection efficiency and intellectualization are reduced due to the fact that construction of a light path needs to be changed continuously when a detected object is made of transparent and non-transparent materials in the prior art.
In order to achieve the above object, an embodiment of the present invention provides a dual light source detection and identification method, including a first light source and a second light source, the method including:
arranging a first light source at one side of a detection table, arranging a second light source at the other side of the detection table, and moving an object to be detected to the center of the detection table;
simultaneously starting a first light source and a second light source to irradiate the object to be detected;
irradiating the surface of an object to be detected by a first light source, collecting reflected light of the object to be detected irradiated by the first light source, and inputting the reflected light into a spectrometer;
if the object to be detected is a transparent object, irradiating the back surface of the object to be detected through a second light source, collecting transmitted light of the object to be detected irradiated by the second light source, and inputting the transmitted light into a spectrometer;
and analyzing and acquiring the material information of the object to be detected according to the spectral data of the object to be detected.
Optionally, the dual light source detection and identification method according to claim 1, wherein the step of analyzing and acquiring material information of the object to be detected according to the spectral data of the object to be detected specifically includes:
combining the reflected light of the first light source and the transmitted light of the second light source to obtain spectral data of the object to be detected;
and analyzing and comparing the spectral data of the object to be detected through material standard spectral data or a machine learning model to generate material information of the object to be detected.
Optionally, the step of obtaining spectral data of the object to be detected by combining the reflected light of the first light source and the transmitted light of the second light source specifically includes:
if the object to be detected is a non-transparent object, generating object spectrum data to be detected according to the reflection spectrum of the object to be detected after the first light source irradiates the object to be detected;
and if the object to be detected is a transparent object, combining the reflected light of the first light source entering the object to be detected with the transmitted light of the second light source passing through the object to be detected to generate the spectral data of the object to be detected.
Optionally, the step of generating material information of the object to be detected by analyzing and comparing the spectral data of the object to be detected with the material standard spectral data or the machine learning model specifically includes:
acquiring spectral data of an object to be detected, and extracting a characteristic vector of the object to be detected corresponding to the spectral data of the object to be detected;
and comparing the characteristic vector of the object to be detected with preset material spectrum data, matching the material spectrum data corresponding to the characteristic vector of the object to be detected, and generating material information of the object to be detected.
Optionally, the step of generating material information of the object to be detected by analyzing and comparing the spectral data of the object to be detected with the material standard spectral data or the machine learning model further includes:
acquiring spectral data of an object to be detected, inputting the spectral data of the object to be detected into a learning model of a spectral analyzer,
and generating a spectral analysis result according to the spectral analysis machine learning model.
Optionally, the step of irradiating the surface of the object to be detected by the first light source, collecting reflected light of the object to be detected irradiated by the first light source, and inputting the collected reflected light into the spectrometer specifically includes:
collecting light rays from the first light source through the first input light path, wherein the light rays form first incident light through the first input light path and irradiate on an object to be detected to generate reflected light;
reflected light is collected through an output light path and input to the spectrometer.
Optionally, if the object to be detected is a transparent object, irradiating the back surface of the object to be detected by a second light source, collecting transmission light after the second light source irradiates the object to be detected, and inputting the transmission light into the spectrometer, specifically includes:
collecting light rays from the second light source through a second input light path, wherein the light rays form second incident light through the second input light path and penetrate through an object to be detected to generate transmitted light;
and the transmitted light is collected through an output light path and is input into the spectrometer.
Optionally, before the step of simultaneously starting the first light source and the second light source to irradiate the object to be detected, the method specifically includes:
connecting the input end of the first input optical path with a first light source, collecting light of the first light source, arranging the output end of the first input optical path at one side of the detection table, and outputting the light to the surface of the object to be detected;
the input end of the second input optical path is connected with the second light source, light of the second light source is collected, the output end of the second input optical path is arranged on the other side of the detection platform, and the light is output to the back face of the object to be detected.
Optionally, before the step of irradiating the surface of the object to be detected by the first light source, collecting reflected light of the object to be detected irradiated by the first light source, and inputting the reflected light into the spectrometer, the method specifically includes:
arranging a spectrometer on the same side of the first light source;
connecting the output light path with the spectrometer, and inputting light rays to the spectrometer;
and arranging the input end of the output light path at the focus position of the detection table, and collecting transmitted light or reflected light.
The invention also provides a double-light-source detection and identification system, which comprises a first light source, a second light source, a spectrometer and an industrial personal computer; the industrial personal computer and the first light source are arranged on one side of the detection platform, the second light source is arranged on the other side of the detection platform, and the object to be detected is moved to the center of the detection platform; the first light source and the second light source are used for irradiating an object to be detected; the spectrometer is used for collecting reflected light of irradiating the surface of the object to be detected by the first light source; if the object to be detected is a transparent object, the spectrometer is also used for collecting transmitted light irradiated by the second light source on the back surface of the object to be detected; and the industrial control machine analyzes and acquires the material information of the object to be detected according to the spectral data of the object to be detected.
One or more technical solutions in the dual light source detection and identification method provided by the embodiment of the present invention at least have one of the following technical effects:
the first light source and the second light source are respectively arranged on two sides of the detection platform, so that when the first light source irradiates the surface of the object to be detected, the second light source can irradiate the back of the object to be detected, and when the object to be detected is a non-transparent object, the spectrograph collects the reflected light of the first light source after passing through the object to be detected, and then the object to be detected is detected and identified; when the object to be detected is a transparent object, the spectrometer collects reflected light of the first light source after passing through the object to be detected, and simultaneously collects transmitted light of the second light source after passing through the object to be detected, so that the intensity of received signals of the spectrometer is increased, the object to be detected is detected and identified, and a user does not need to repeatedly adjust the building mode of a light path, so that the system can simultaneously detect and identify the transparent object and the non-transparent object, and great convenience is brought to the user during detection and identification.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the embodiments or drawings used in the prior art description, and obviously, the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic flow chart of a dual light source detection and identification method according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of the arrangement of the first input optical path and the second input optical path according to the embodiment of the present invention;
FIG. 3 is a schematic flow chart of a spectrometer setup provided by an embodiment of the present invention;
fig. 4 is a schematic flow chart of light collection of the first light source according to the embodiment of the present invention;
fig. 5 is a schematic flow chart of light collection of a second light source according to an embodiment of the present invention;
FIG. 6 is a schematic flow chart illustrating the generation of texture information according to an embodiment of the present invention;
FIG. 7 is a schematic flow chart of spectral data generation provided by an embodiment of the present invention;
FIG. 8 is a schematic view of a process of comparing texture information according to an embodiment of the present invention;
fig. 9 is a schematic flowchart of machine learning analysis according to an embodiment of the present invention.
Fig. 10 is a schematic block diagram of a connection structure of a dual light source detection and identification system according to an embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It should also be understood that the term "and/or" as used in this specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to" determining "or" in response to detecting ". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted in accordance with the context to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".
Furthermore, in the description of the present application and the appended claims, the terms "first," "second," "third," and the like are used for distinguishing between descriptions and not necessarily for describing or implying relative importance.
Reference throughout this specification to "one embodiment" or "some embodiments," or the like, means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the present application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," or the like, in various places throughout this specification are not necessarily all referring to the same embodiment, but rather "one or more but not all embodiments," unless otherwise expressly specified. The terms "comprising," "including," "having," and variations thereof mean "including, but not limited to," unless expressly specified otherwise.
In one embodiment of the present invention, as shown in fig. 1 and 9, there is provided a dual light source detection and identification method, including a first light source and a second light source, the method including:
step S100: arranging a first light source at one side of a detection table, arranging a second light source at the other side of the detection table, and moving an object to be detected to the center of the detection table;
step S200: simultaneously starting a first light source and a second light source to irradiate the object to be detected;
step S300: irradiating the surface of an object to be detected by a first light source, collecting reflected light of the object to be detected irradiated by the first light source by an output light path, and inputting the reflected light into a spectrometer;
step S400: if the object to be detected is a transparent object, irradiating the back surface of the object to be detected by a second light source, collecting transmission light of the object to be detected irradiated by the second light source through an output light path, and inputting the transmission light into a spectrometer;
step S500: and analyzing and acquiring the material information of the object to be detected according to the spectral data of the object to be detected.
The first light source and the second light source are respectively arranged on two sides of the detection platform, so that when the first light source irradiates the surface of the object to be detected, the second light source can irradiate the back of the object to be detected, and when the object to be detected is a non-transparent object, the spectrograph collects the reflected light of the first light source after passing through the object to be detected, and then the object to be detected is detected and identified; when the object to be detected is a transparent object, the spectrometer collects reflected light of the first light source after passing through the object to be detected, and simultaneously collects transmitted light of the second light source after passing through the object to be detected, so that the intensity of received signals of the spectrometer is increased, the object to be detected is detected and identified, and a user does not need to repeatedly adjust the building mode of a light path, so that the system can simultaneously detect and identify the transparent object and the non-transparent object, and great convenience is brought to the user during detection and identification.
In another embodiment of the present invention, as shown in fig. 6, the step of obtaining the material information of the object to be detected according to the comparison between the material spectrum data and the object spectrum data to be detected specifically includes:
step S510: and combining the reflected light of the first light source and the transmitted light of the second light source to obtain the spectral data of the object to be detected.
Step S520: and analyzing and comparing the spectral data of the object to be detected through the material standard spectral data or the machine learning model to generate material information of the object to be detected.
Specifically, in this step, spectral data is acquired by combining the reflected light of the first light source and the transmitted light of the second light source. If the transmitted light of the second light source is not collected, it is indicated that the object to be detected is a non-transparent object, the second light source cannot penetrate through the object, the object is opaque, the reflected light is analyzed, at the moment, the signal intensity of the reflected light of the first light source is strong enough, the spectral data of the object to be detected can be obtained, and then the spectral data of the object to be detected is compared with the preset material spectral data, so that the material information of the object to be detected is generated.
In another embodiment of the present invention, as shown in fig. 7, the step of acquiring the spectral data of the object to be detected according to the reflected light of the first light source or the transmitted light of the second light source specifically includes:
step S511: if the object to be detected is a non-transparent object, generating object spectrum data to be detected according to the reflection spectrum of the object to be detected irradiated by the first light source;
specifically, in this step, when the object to be detected is on the detection table, the first light source and the second light source operate simultaneously, and if the object to be detected is a non-transparent object, light of the first light source is not transmitted and is input into the spectrometer in the form of reflected light, and then spectral data of the object to be detected can be generated according to the reflected light of the first light source.
Step S512: and if the object to be detected is a transparent object, combining the reflected light of the first light source entering the object to be detected and the transmitted light of the second light source passing through the object to be detected to generate the spectral data of the object to be detected.
Specifically, in this step, if the object to be detected is a transparent object, most of the light of the first light source is transmitted and less of the light is reflected, and since the first light source and the spectrometer are arranged on the same side, the first light source alone cannot acquire complete spectral data, so that the second light source is arranged on the other side of the spectrometer, and most of the light of the second light source passes through the object to be detected through transmission and is input into the spectrometer in the form of transmitted light, so that the spectral data of the object to be detected is generated by combining the part of the reflected light of the first light source and the transmitted light of the second light source.
In another embodiment of the present invention, as shown in fig. 8, the generating material information of the object to be detected by comparing the object spectrum data to be detected with preset material spectrum data specifically includes:
step 521: acquiring spectral data of an object to be detected, and extracting a characteristic vector of the object to be detected corresponding to the spectral data of the object to be detected;
step 522: and comparing the characteristic vector of the object to be detected with preset material spectrum data, matching the material spectrum data corresponding to the characteristic vector of the object to be detected, and generating material information of the object to be detected.
Specifically, in this step, material spectral data is input to the industrial personal computer in advance, and the characteristic vector is extracted through the industrial personal computer according to the spectral data of the object to be detected, so that the characteristic vector is compared with the material spectral data preset in the industrial personal computer, the type to which the object to be detected belongs is obtained, and classification of the object to be detected is completed.
Optionally, in this step, a cloud sending instruction may be further generated according to the spectral data to be detected, the spectral data of the object to be detected is sent from the current data storage end to the cloud end according to the cloud sending instruction, the spectral data of the object to be detected is compared with standard spectral data prestored in the cloud end at the cloud end, a spectral analysis result is generated after the comparison is completed, and classification of the object to be detected is completed.
In another embodiment of the present invention, as shown in fig. 9, the generating material information of the object to be detected by comparing the object spectrum data to be detected with preset material spectrum data further includes:
step 523: acquiring spectral data of an object to be detected, inputting the spectral data of the object to be detected into a spectral analysis machine learning model,
step 524: and generating a spectral analysis result according to the spectral analysis machine learning model.
Specifically, in this step, by acquiring spectral data of the object to be detected, inputting the spectral data of the object to be detected to a preset spectral analysis machine learning model, and generating a spectral analysis result, a machine learning method can be adopted, a spectral analysis machine learning model is generated according to a pre-stored spectral library, and then a prediction result can be directly output according to the spectral data of the object to be detected, so that the efficiency of result generation is improved.
Optionally, in this embodiment, a cloud sending instruction may be further generated according to the spectral data to be detected, the spectral data of the object to be detected is sent from the current data storage end to the cloud end according to the cloud sending instruction, a spectral analysis machine learning model is generated according to a spectral library of the cloud end, the object data to be detected is input into the spectral analysis machine learning model of the cloud end, a prediction result is directly output according to the spectral data of the object to be detected, and a spectral analysis result sent by the cloud end is obtained, so as to obtain a type of the object to be detected.
Further, before the step of obtaining the material information of the object to be detected according to the comparison of the material spectrum data and the object spectrum data to be detected, the method includes:
and acquiring material spectrum data in advance, and storing the material spectrum data in a local material spectrum database.
And a spectral analysis machine learning model is established in advance and stored in an industrial personal computer.
Specifically, in this step, before spectral data comparison is carried out through the industrial computer, the material spectral data are downloaded from the material database and input to the industrial computer, and a spectral analysis machine learning model is established in advance in the industrial computer, so that the industrial computer can carry out spectral data comparison in an off-line state, and the comparison efficiency is improved.
In another embodiment of the present invention, as shown in fig. 4, the step of irradiating the surface of the object to be detected by the first light source, collecting the reflected light of the object to be detected irradiated by the first light source by the output optical path, and inputting the reflected light into the spectrometer specifically includes:
step S310: collecting light rays from the first light source through a first input light path, wherein the light rays form first incident light through the first input light path and irradiate on an object to be detected to generate reflected light;
step S320: reflected light is collected through an output light path and input to the spectrometer.
Specifically, in this step, the first input optical path is preferably a first input optical fiber, the output optical path is preferably an output optical fiber, the first input optical fiber is connected to the first light source through an optical fiber probe, an optical signal of the first light source is irradiated on the object to be detected through the first input optical fiber, and reflected light is formed and is incident on the output optical fiber, and then is input to the spectrometer to generate spectral data.
In another embodiment of the present invention, as shown in fig. 5, if the object to be detected is a transparent object, the step of irradiating the back surface of the object to be detected with the second light source, collecting the transmission light of the object to be detected irradiated with the second light source through the output optical fiber, and inputting the transmission light into the spectrometer specifically includes:
step S410: collecting light rays collected by a second light source through a second input light path, wherein the light rays form second incident light through the second input light path and penetrate through an object to be detected to generate transmitted light;
step S420: and the transmitted light is collected through an output light path and is input into the spectrometer.
Specifically, in this step, the second input optical path is preferably a second input optical fiber, the second input optical fiber is connected to the second light source through another optical fiber probe, and an optical signal of the second light source is irradiated onto the object to be detected through the second input optical fiber to form a transmitted light, which is incident into the output optical fiber and then input into the spectrometer to generate spectral data.
In another embodiment of the present invention, as shown in fig. 2, before the step of simultaneously starting the first light source and the second light source to irradiate the object to be detected, the method specifically includes:
step S210: the input end of the first input optical path is connected with the first light source, light of the first light source is collected, the output end of the first input optical path is arranged on one side of the detection platform, and the light is output to the surface of an object to be detected.
Step S220: and the input end of the second input optical path is connected with the second light source, the light of the second light source is collected, the output end of the second input optical path is arranged on the other side of the detection platform, and the light is output to the back of the object to be detected.
Specifically, in this step, an input end of a first input optical path is arranged at a first light source, a second input optical path is used for collecting a second light source, an output end of the first input optical path is used for irradiating the surface of the object to be detected, and an output end of the second input optical path is used for irradiating the back surface of the object to be detected.
In another embodiment of the present invention, as shown in fig. 3, before the step of irradiating the surface of the object to be detected by the first light source, collecting the reflected light of the object to be detected irradiated by the first light source through the output optical path, and inputting the reflected light into the spectrometer, the method specifically includes:
step S301: arranging a spectrometer on the same side of the first light source;
step S302: connecting the output end of the output light path with a spectrometer, and inputting light rays to the spectrometer;
step S303: and arranging the input end of the output light path at the focus position of the detection table, and collecting transmitted light or reflected light.
Specifically, in this step, the spectrometer is arranged on the same side of the first light source, that is, on the opposite side of the second light source, so that a user can simultaneously collect the reflected light of the first light source and the transmitted light of the second light source through the output light path without re-constructing the light path, and the reflected light and the transmitted light are transmitted to the spectrometer through the output light path, thereby obtaining the spectral data of the object to be detected, greatly saving the process of replacing the light path, and bringing great convenience to the user.
The invention also provides a double-light-source detection and identification system, which comprises a first light source, a second light source, a spectrometer and an industrial personal computer, as shown in fig. 9.
The industrial personal computer and the first light source are arranged on one side of the detection platform, the second light source is arranged on the other side of the detection platform, and the object to be detected is moved to the center of the detection platform; the first light source and the second light source are used for irradiating an object to be detected; the spectrometer is used for collecting reflected light which irradiates the object to be detected on the surface of the object to be detected through the first light source; if the object to be detected is a transparent object, the spectrometer is also used for collecting transmitted light irradiated by the second light source on the back surface of the object to be detected; and the industrial personal computer acquires the material information of the object to be detected according to the comparison of the material spectrum data and the object to be detected spectrum data. Specifically, the industrial personal computer is a main control unit of the dual-light-source detection and identification system, and is used for controlling the irradiation of the first light source and the second light source and detecting and identifying an object to be detected.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (10)
1. A dual light source detection identification method comprising a first light source and a second light source, the method comprising:
arranging a first light source at one side of a detection table, arranging a second light source at the other side of the detection table, and moving an object to be detected to the center of the detection table;
simultaneously starting a first light source and a second light source to irradiate the object to be detected;
irradiating the surface of an object to be detected by a first light source, collecting reflected light of the object to be detected irradiated by the first light source, and inputting the reflected light into a spectrometer;
if the object to be detected is a transparent object, irradiating the back surface of the object to be detected through a second light source, collecting transmitted light of the object to be detected irradiated by the second light source, and inputting the transmitted light into a spectrometer;
and analyzing and acquiring the material information of the object to be detected according to the spectral data of the object to be detected.
2. The dual light source detection and identification method according to claim 1, wherein the step of analyzing and acquiring material information of the object to be detected according to the spectral data of the object to be detected specifically comprises:
combining the reflected light of the first light source and the transmitted light of the second light source to obtain spectral data of the object to be detected;
and analyzing and comparing the spectral data of the object to be detected through material standard spectral data or a machine learning model to generate material information of the object to be detected.
3. The dual light source detection and identification method according to claim 2, wherein the step of combining the reflected light of the first light source and the transmitted light of the second light source to obtain the spectral data of the object to be detected specifically comprises:
if the object to be detected is a non-transparent object, generating object spectrum data to be detected according to the reflection spectrum of the object to be detected after the first light source irradiates the object to be detected;
and if the object to be detected is a transparent object, combining the reflected light of the first light source entering the object to be detected and the transmitted light of the second light source passing through the object to be detected to generate the spectral data of the object to be detected.
4. The dual light source detection and identification method according to claim 3, wherein the step of generating the material information of the object to be detected by analyzing and comparing the spectral data of the object to be detected with the material standard spectral data or a machine learning model specifically comprises:
acquiring spectral data of an object to be detected, and extracting a characteristic vector of the object to be detected corresponding to the spectral data of the object to be detected;
and comparing the characteristic vector of the object to be detected with preset material spectrum data, matching the material spectrum data corresponding to the characteristic vector of the object to be detected, and generating material information of the object to be detected.
5. The dual light source detection and identification method according to claim 3, wherein the step of generating the material information of the object to be detected by analyzing and comparing the spectral data of the object to be detected with the material standard spectral data or a machine learning model further comprises:
acquiring spectral data of an object to be detected, inputting the spectral data of the object to be detected into a spectral analysis machine learning model,
and generating a spectral analysis result according to the spectral analysis machine learning model.
6. The dual light source detection and identification method according to claim 1, wherein the step of irradiating the surface of the object to be detected with the first light source, collecting the reflected light of the object to be detected irradiated with the first light source, and inputting the collected reflected light into the spectrometer specifically comprises:
collecting light rays from the first light source through the first input light path, wherein the light rays form first incident light through the first input light path and irradiate on an object to be detected to generate reflected light;
reflected light is collected through an output light path and input to the spectrometer.
7. The dual light source detection and identification method according to claim 1, wherein if the object to be detected is a transparent object, the back surface of the object to be detected is irradiated by a second light source, and transmitted light of the object to be detected irradiated by the second light source is collected and input into a spectrometer, specifically comprising:
collecting light rays from the second light source through a second input light path, wherein the light rays form second incident light through the second input light path and penetrate through an object to be detected to generate transmitted light;
and the transmitted light is collected through an output light path and is input into the spectrometer.
8. The dual light source detection and identification method according to claim 1, wherein before the step of simultaneously activating the first light source and the second light source to irradiate the object to be detected, the method specifically comprises:
connecting the input end of a first input optical path with a first light source, collecting light of the first light source, arranging the output end of the first input optical path at one side of a detection table, and outputting the light to the surface of an object to be detected;
the input end of the second input optical path is connected with the second light source, light of the second light source is collected, the output end of the second input optical path is arranged on the other side of the detection platform, and the light is output to the back face of the object to be detected.
9. The dual light source detection and identification method according to claim 5, wherein before the step of irradiating the surface of the object to be detected by the first light source, collecting the reflected light of the object to be detected irradiated by the first light source, and inputting the reflected light into the spectrometer, the method specifically comprises:
arranging a spectrometer on the same side of the first light source;
connecting the output light path with the spectrometer, and inputting light rays to the spectrometer;
and arranging the input end of the output light path at the focus position of the detection table, and collecting transmitted light or reflected light.
10. A double-light-source detection and identification system is characterized by comprising a first light source, a second light source, a spectrometer and an industrial personal computer;
the industrial personal computer and the first light source are arranged on one side of the detection platform, the second light source is arranged on the other side of the detection platform, and the object to be detected is moved to the center of the detection platform; the first light source and the second light source are used for irradiating an object to be detected; the spectrometer is used for collecting reflected light which irradiates the object to be detected on the surface of the object to be detected through the first light source; if the object to be detected is a transparent object, the spectrometer is also used for collecting transmitted light irradiated by the second light source on the back surface of the object to be detected; and the industrial personal computer analyzes and acquires the material information of the object to be detected according to the spectral data of the object to be detected.
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