High-compatibility endoscope camera system and image signal normalization processing method

Abstract

The invention discloses a high-compatibility endoscope camera system and an image signal normalization processing method, and belongs to the technical field of endoscopes. The endoscope camera system comprises one or more endoscopes and an image signal processing device, the endoscope is in pluggable connection with the image signal processing device; when the endoscope is connected with the image signal processing device, the endoscope can send image data to the image signal processing device. The image signal processing device comprises an FPGA-based conversion unit which comprises an input end, a signal conversion module and an output end; the conversion unit is used for receiving image data through the input end; obtaining effective data through a signal conversion module, and packaging the effective data according to a reference protocol to obtain unified data; and the SoC-based processing unit is used for processing the received unified data according to the target endoscope type. According to the endoscope camera system, normalization can be carried out on different types of image signals, and high compatibility is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of endoscopes, and particularly relates to a highly compatible endoscope imaging system and a method for normalizing image signals. Background Art

[0002] During medical procedures, doctors often need to use endoscopes to observe the internal conditions of human cavities, understand the patient's condition, or perform treatment operations. At present, the treatment process still mainly relies on the repeated use of endoscopes. However, as the internal structure of repeated-use endoscopes is complex, the outer diameter of the product cannot be made small, the disinfection process has high requirements and takes a long time, and there is a problem of cross-infection caused by incomplete disinfection. With the rapid development and maturity of CMOS (Complementary Metal-Oxide-Semiconductor) image sensor technology in recent years, disposable endoscope products have gradually started to develop and be promoted. Compared with reusable endoscopes, the structure of disposable endoscopes is simpler, and it only needs to install one or more CMOS sensor chips at the head end position to collect image signals.

[0003] However, since the types of CMOS sensors required in different departments or different scenarios may vary greatly, in order to minimize the cost for patients to use disposable endoscope products, a highly compatible endoscope imaging system is urgently needed. Summary of the Invention

[0004] The present application provides a highly compatible endoscope imaging system and a method for normalizing image signals. The endoscope imaging system can convert the image signals collected by different types of endoscopes through a conversion unit based on FPGA (Field Programmable Gate Array) for normalization, and then output them to a processing unit based on SoC (System on Chip), which can improve the compatibility of the endoscope imaging system. The technical solution is as follows:

[0005] On the one hand, an endoscope imaging system is provided, including one or more endoscopes and an image signal processing device;

[0006] The endoscope is pluggably connected to the image signal processing device. The endoscope includes an identification circuit, which is used to determine the target signal identifier, the target endoscope type, the target sensor interface type, and the target transmission protocol corresponding to the image signal collected by the endoscope. When the endoscope is connected to the image signal processing device, the endoscope can send image data to the image signal processing device, and the image data carries the image signal, the target signal identifier, the target endoscope type, the target sensor interface type, and the target transmission protocol.

[0007] The image signal processing device includes:

[0008] An FPGA-based conversion unit, the conversion unit includes an input end, a signal conversion module, and an output end. The conversion unit is used to receive the image data through the input end, and through the signal conversion module, according to the target signal identifier, the target sensor interface type, and the target transmission protocol in the image data, obtain valid data, and package the valid data according to a reference protocol to obtain unified data. The reference protocol is used to indicate the format of the data output by the conversion unit through the output end.

[0009] An SoC-based processing unit, the processing unit is connected to the output end of the conversion unit, and the processing unit is used to process the received unified data according to the target endoscope type.

[0010] Optionally, the conversion unit further includes:

[0011] An encryption module, and the conversion unit is further used to encrypt the unified data through the encryption module.

[0012] The conversion unit is further used to output the encrypted unified data through the output end.

[0013] Optionally, the processing unit further includes:

[0014] A decryption module, and the processing unit is further used to decrypt the encrypted unified data through the decryption module to obtain the unified data.

[0015] Optionally, the conversion unit obtains valid data through the signal conversion module according to the target signal identifier, the target sensor interface type, and the target transmission protocol in the image data, including:

[0016] Based on the target signal identifier and the target sensor interface type, parse the target transmission protocol to obtain the valid data.

[0017] Optionally, the endoscopic camera system further includes:

[0018] A storage unit, which is connected to the conversion unit and is used for real-time storage of the image data received by the conversion unit.

[0019] Optionally, the target sensor interface type includes any one or more of HDMI (High Definition Multimedia Interface), MIPI (Mobile Industry Processor Interface), LVDS (Low-Voltage Differential Signaling), and analog interface.

[0020] On the other hand, a method for normalizing an image signal is provided. The method includes:

[0021] Receiving image data, where the image data carries an image signal and corresponding target signal identifiers, target endoscope types, target sensor interface types, and target transmission protocols;

[0022] According to the target signal identifier, the target sensor interface type, and the target transmission protocol in the image data, obtaining valid data;

[0023] Packing the valid data according to a reference protocol to obtain unified data, where the reference protocol is used to indicate the format of the obtained data.

[0024] Optionally, the obtaining valid data according to the target signal identifier, the target sensor interface type, and the target transmission protocol in the image data includes:

[0025] Based on the target signal identifier and the target sensor interface type, parsing the target transmission protocol to obtain the valid data.

[0026] On the other hand, a computer-readable storage medium is provided. A computer program is stored in the storage medium, and the computer program can be executed by a processor to implement the steps of the above-mentioned method for normalizing an image signal.

[0027] On the other hand, a computer program product containing instructions is provided. When the instructions run on a computer, the computer is made to execute the steps of the above-mentioned method for normalizing an image signal.

[0028] The technical solution provided by this application can at least bring the following beneficial effects:

[0029] The endoscopic camera system in the embodiments of the present application includes an endoscope and an image signal processing device. The image signal processing device includes a conversion unit based on FPGA. The conversion unit can acquire the image data sent by the endoscope and perform unified operations on it to obtain unified data. That is to say, the conversion unit can convert different image data into unified data with the same format, improving the compatibility of the endoscopic camera system. Since the conversion unit based on FPGA can convert different image data into unified data with the same format, it is possible to reduce the cost of patients using disposable endoscope products, and there is no need to install a conversion chip in each endoscope, which can save chip resources. After the conversion unit obtains the unified data, it will send the unified data to the processing unit based on SoC, which can quickly develop and deploy the image processing algorithm corresponding to the unified data, improving the ability of the endoscopic camera system to process image signals. Description of the Drawings

[0030] Figure 1 is a schematic structural diagram of a highly compatible endoscopic camera system provided by an embodiment of the present application;

[0031] Figure 2 is a schematic structural diagram of another highly compatible endoscopic camera system provided by an embodiment of the present application;

[0032] Figure 3 is a schematic structural diagram of yet another highly compatible endoscopic camera system provided by an embodiment of the present application;

[0033] Figure 4 is a schematic structural diagram of yet another highly compatible endoscopic camera system provided by an embodiment of the present application;

[0034] Figure 5 is a flowchart of a method for normalizing an image signal provided by an embodiment of the present application. Detailed Embodiments

[0035] The present invention will be further described in detail below in conjunction with the drawings through specific embodiments. Similar elements in different embodiments are labeled with related similar element numbers. In the following embodiments, many details are described to make the present application better understood. However, those skilled in the art can easily recognize that some of the features can be omitted in different situations, or can be replaced by other elements, materials, and methods. In some cases, some operations related to the present application are not shown or described in the specification to avoid the core part of the present application being overwhelmed by excessive description. For those skilled in the art, it is not necessary to describe these related operations in detail, and they can fully understand the related operations based on the description in the specification and the general technical knowledge in the art.

[0036] In addition, the features, operations, or characteristics described in the specification can be combined in any suitable manner to form various embodiments. At the same time, the steps or actions in the method description can also be reordered or adjusted in a manner obvious to those skilled in the art. Therefore, the various sequences in the specification and drawings are only for clearly describing a certain embodiment and do not mean a necessary sequence, unless it is stated that a certain sequence must be followed.

[0037] The serial numbers assigned to the components herein, such as "first", "second", etc., are only used to distinguish the objects described and do not have any sequential or technical meaning. And the "connection" and "coupling" mentioned in this application, unless otherwise specified, both include direct and indirect connection (coupling).

[0038] During the medical process, doctors often need to use endoscopes to observe the internal conditions of the human body cavity, understand the patient's condition, or perform treatment operations. At present, the treatment process still mainly relies on the repeated use of endoscopes. However, as the internal structure of the repeated-use endoscope is complex, the outer diameter of the product cannot be made small, the disinfection process has high requirements and takes a long time, and there is a problem of cross-infection caused by incomplete disinfection. With the rapid development and maturity of CMOS image sensor technology in recent years, disposable endoscope products have gradually started to develop and be promoted. Compared with reusable endoscopes, the structure of disposable endoscopes is simpler, and it only needs to install one or more CMOS sensor chips at the head end to collect image signals.

[0039] However, since the types of CMOS sensors required in different departments or different scenarios may vary greatly, if, like traditional reusable endoscopes, disposable endoscopes also unify the transmitted signals through video conversion chips in the endoscope body for different endoscopes and different CMOS sensors, it will not only cause a large waste of chips but also increase the cost for patients to use disposable endoscope products. In related technologies, to solve the compatibility problem of different signals, the image sensor needs to be able to adapt to different signal input interfaces, either by choosing a sensor that can access different types of interfaces or by choosing different types of interface chips, which not only increases the design difficulty of the image processor but also increases the complexity of the endoscope imaging system.

[0040] Based on this, the embodiments of the present application provide an endoscope imaging system with high compatibility. The endoscope system includes an image signal processing device, and the image signal processing device includes a conversion unit based on FPGA, which can convert the image signals collected by different types of endoscopes for normalization and then output them to a processing unit based on SoC, which can improve the compatibility of the endoscope imaging system.

[0041] Next, a highly compatible endoscopic camera system provided by the embodiments of the present application will be introduced in detail.

[0042] Please refer to Figure 1 , Figure 1 which is a schematic structural diagram of a highly compatible endoscopic system provided by the embodiments of the present application. The endoscopic camera system includes one or more endoscopes 1 and an image signal processing device 2; the endoscope 1 and the image signal processing device 2 are pluggable; the endoscope 1 includes an identification circuit 11, and the identification circuit 11 is used to determine the target signal identifier, the target endoscope type, the target sensor interface type, and the target transmission protocol corresponding to the image signal collected by the endoscope 1; when the endoscope 1 is connected to the image signal processing device 2, the endoscope 1 can send image data to the image signal processing device 2, and the image data carries the image signal, the target signal identifier, the target endoscope type, the target sensor interface type, and the target transmission protocol; the image signal processing device 2 includes: a conversion unit 21 based on FPGA, and the conversion unit 21 includes an input terminal s1, a signal conversion module 211, and an output terminal s2; the conversion unit 21 is used to receive image data through the input terminal s1; the signal conversion module 211 obtains valid data according to the target signal identifier, the target sensor interface type, and the target transmission protocol in the image data, packs the valid data according to the reference protocol to obtain unified data, and the reference protocol is used to indicate the format of the data output by the conversion unit 211 through the output terminal s2; a processing unit 22 based on SoC, and the processing unit 22 is connected to the output terminal s2 of the conversion unit 21, and the processing unit 22 is used to process the received unified data according to the target endoscope type.

[0043] Since the endoscope 1 and the image signal processing device 2 are pluggable, the image signal processing device can be connected to different models of endoscopes 1, which can increase the applicable scenarios of the image signal processing device 2.

[0044] Continuing the above description, since the image processing device 2 can be connected to different types of endoscopes 1, in order for the image processing device 2 to determine the type of the endoscope 1, the endoscope 1 may further include an identification circuit 11, which can determine the type of the endoscope 1 currently connected to the image processing device 2, that is, the target endoscope type.

[0045] In some embodiments, since the formats or types of the image signals collected by different endoscopes 1 may be different, the identification circuit 11 is further used to determine the target signal identifier corresponding to the image signal collected by the endoscope 1, so that in the subsequent process, the image signal processing device 2 can perform corresponding processing on the image signal collected by the endoscope 1 according to the target signal identifier.

[0046] The endoscope 1 also includes sensors to achieve the acquisition of image signals. When the subsequent image processing device 2 processes the corresponding image signals, the type of sensor corresponding to the image signals will also affect this processing process. Therefore, the recognition circuit is also used to determine the type of sensor used by the endoscope 1 currently connected to the image processing device 2, that is, the target sensor type. By way of example, the target sensor interface type can include any one or more of HDMI, MIPI, LVDS, and analog interfaces.

[0047] Continuing the above description, different image signals may correspond to different transmission protocols. For example, the transmission protocol corresponding to MIPI image signals can be the MIPI transmission protocol, the transmission protocol corresponding to LVDS image signals can be the LVDS transmission protocol, and the transmission protocol corresponding to HDMI image signals can be the HDMI transmission protocol. How the image processing device 2 processes the image signals mainly depends on its corresponding transmission protocol. Therefore, the recognition circuit 1 is also used to determine the transmission protocol corresponding to the current image signals, that is, the target transmission protocol, so that the image processing device 2 can perform subsequent operations.

[0048] In addition, in some embodiments, the recognition circuit 11 is located on the handle of the endoscope 1. After the recognition circuit 11 determines the target signal identifier, target endoscope type, target sensor interface type, and target transmission protocol corresponding to the image signals acquired by the endoscope 1, the endoscope 1 can send the image data including the image signals, target signal identifier, target endoscope type, target sensor interface type, and target transmission protocol to the image processing device 2. Thus, the image processing device 2 can process the received image signals based on the target signal identifier, target endoscope type, target sensor interface type, and target transmission protocol.

[0049] It should be noted that the above description is based on the recognition circuit being located on the handle of the endoscope. In actual applications, the recognition circuit can also be located at other positions of the endoscope. The embodiments of the present application do not limit this.

[0050] Since the endoscope 1 and the image processing device 2 are pluggable connections, when the image processing device 2 is connected to the endoscope 1, it can receive the image data sent by the endoscope 1. When the image processing device 2 is not connected to the endoscope 1, it cannot receive the image data sent by the endoscope 1.

[0051] From Figure 1As can be seen, the image processing device 2 may include an FPGA-based conversion unit 21. Since the FPGA has very good flexibility in the process of processing different types of image signals, it can access single-ended signals and differential signals, and different BANKs (groupings of I / O (input / output) units) can also be configured with interface levels of different voltages 0. Therefore, the image processing device 2 including the FPGA-based conversion unit 21 can receive different types of image signals.

[0052] Continuing the above description, the conversion unit 21 can be connected to the endoscope 1. Thus, the conversion unit 21 can receive the image data sent by the endoscope 1. And the conversion unit 21 further includes a signal conversion module 211, and the signal conversion module 211 can obtain valid data according to the target signal identifier, the target sensor interface type, and the target transmission protocol in the image data.

[0053] That is to say, since the image data not only includes image signals, but also includes the target signal identifier, the target signal identifier, the target endoscope type, the target sensor interface type, and the target transmission protocol, and in the packaged image data, there will also be some data unrelated to the image signal itself, such as the packet header or the packet tail, etc. For these data, there is no need to perform conversion. Therefore, it is also necessary to obtain the valid data in the image data. And since different image signals may be packaged into the image data according to their corresponding signal identifiers, sensor interface types, and transmission protocols, the signal conversion module 211 also needs to obtain relevant valid data according to the target signal identifier, the target sensor interface type, and the target transmission protocol in the image data.

[0054] In some embodiments, the implementation process for the conversion unit 21 to obtain valid data can be: based on the target signal identifier and the target sensor interface type, parse the target transmission protocol to obtain valid data.

[0055] Since the same target transmission protocol may have different transmission requirements for different types of signals, the conversion unit 21 needs to parse the target transmission protocol based on the target signal identifier; in addition, since different sensor interfaces have different interface processing methods, the data packets corresponding to the image data obtained according to the target transmission protocol may be different. Therefore, the conversion unit 21 also needs to parse the target transmission protocol based on the target sensor interface type. That is to say, by parsing the target transmission based on the target signal identifier and the target sensor interface type, accurate valid data can be obtained.

[0056] Continuing the above description, after obtaining the valid data, in order to uniformly process the valid data, the valid data also needs to be packed according to the reference protocol to obtain unified data. Among them, the reference protocol is used to indicate the format of the data output from the output terminal s2 of the conversion unit 21. By way of example, assuming the reference protocol is the MIPI private protocol, then, it is necessary to pack the valid data according to the relevant requirements specified in the MIPI private protocol to obtain unified data, so that the format of the obtained unified data meets the relevant requirements specified in the MIPI private protocol. By another example, assuming the reference protocol is the LVDS private protocol, then, it is necessary to pack the valid data according to the relevant requirements specified in the LVDS private protocol to obtain unified data, so that the format of the obtained unified data meets the relevant requirements specified in the LVDS private protocol. By yet another example, assuming the reference protocol is the HDMI private protocol, it is necessary to pack the valid data according to the relevant requirements specified in the HDMI private protocol to obtain unified data, so that the format of the obtained unified data meets the relevant requirements specified in the HDMI private protocol.

[0057] It should be noted that the above is described with the reference protocol being the MIPI private protocol, the LVDS private protocol, and the HDMI private protocol. Or, in applications, the reference protocol can also be determined according to the actual situation. That is to say, the embodiments of the present application do not limit the reference protocol.

[0058] Based on the above description, it can be seen that the signal conversion module 211 can pack the received image data into a unified format. In this way, no matter what type of image signal is collected by the endoscope 1, the image signal processing device 2 can perform corresponding conversion operations on it. It can be seen that various different types of image signals can be input into the input terminal s1 of the signal conversion module 211, but the image signals output from the output terminal s2 of the signal conversion module 211 are of the same type. That is to say, the signal conversion module 211 can achieve the effect of multiple inputs and single output. Therefore, in the case where the endoscope 1 is a disposable endoscope, there is no need to install a conversion chip in it to unify the image signal, which can save chip resources and thus save costs.

[0059] Since the FPGA itself cannot perform complex operations, and complex algorithms such as image enhancement, sharpening, and image segmentation in the later stage of the endoscopic image processor imaging chain are not suitable for deployment on the FPGA. Therefore, the processing unit 22 based on the SoC can be connected to the conversion unit 21 based on the FPGA, so that the SoC can perform image processing, and image processing algorithms can be developed and deployed quickly. It can also perform split-screen display on the multiple-channel sensor data simultaneously collected by the FPGA.

[0060] Continuing the above description, after the processing unit 22 obtains the unified data, the received unified data can be processed so that the corresponding image of the unified data can be better displayed in the subsequent process. Moreover, for the unified data corresponding to different types of endoscopes 1, the processing unit 22 may process them in different ways. Therefore, the processing unit 22 needs to process the received unified data according to the target endoscope type.

[0061] As an example, the processing unit 22 can perform ISP (Image Signal Processing) processing or some custom image algorithm processing on the unified data, so as to perform operations such as black point correction, lens shadow correction, and demosaicing on the image corresponding to the unified data.

[0062] In some embodiments, please refer to Figure 2 , the conversion unit 21 further includes: an encryption module 212. The conversion unit 21 is further configured to encrypt the unified data through the encryption module 212; the conversion unit 21 is further configured to output the encrypted unified data through the output terminal s2. That is to say, in order to ensure the security of data transmission, the conversion unit 21 can also encrypt the obtained unified data. For example, the unified data can be encrypted with a symmetric encryption algorithm or an asymmetric encryption algorithm.

[0063] In addition, in some embodiments, please refer to Figure 2 , the processing unit 22 further includes: a decryption module 221. The processing unit 22 is further configured to decrypt the encrypted unified data through the decryption module 221 to obtain the unified data. That is to say, if the unified data received by the processing unit 22 is encrypted unified data, therefore, the processing unit 22 also needs to decrypt the encrypted unified data for subsequent operations, and the decryption method of the decryption module 221 in the processing unit 22 corresponds to the encryption method of the encryption module 212 in the conversion unit 21. For example, assuming that the encryption module 212 uses a symmetric encryption algorithm to encrypt the unified data, then the decryption module 221 needs to use a symmetric decryption algorithm to decrypt the encrypted unified data.

[0064] In some embodiments, please refer to Figure 3 , the endoscope imaging system further includes: a storage unit 3. The storage unit 3 is connected to the conversion unit 21, and the storage unit 3 is configured to store the image data received by the conversion unit 21 in real time.

[0065] In addition, in some embodiments, please refer to Figure 4, the endoscope camera system further includes: a display unit 4, which is connected to the SoC-based processing unit 22. Thus, after the processing unit 22 processes the unified data, the processed unified data can be sent to the display unit 4 so that the display unit 4 can display the corresponding image for medical staff to view.

[0066] The endoscope camera system in the embodiment of the present application includes an endoscope and an image signal processing device. The image signal processing device includes a conversion unit based on FPGA. The conversion unit can obtain the image data sent by the endoscope and perform unified operations on it to obtain unified data. That is to say, the conversion unit can convert different image data into unified data with the same format, improving the compatibility of the endoscope camera system. Since the conversion unit based on FPGA can convert different image data into unified data with the same format, it is possible to reduce the cost of patients using disposable endoscope products and there is no need to install a conversion chip in each endoscope, which can save chip resources. And after the conversion unit obtains the unified data, it will send the unified data to the SoC-based processing unit, which can quickly develop and deploy image processing algorithms corresponding to the unified data, improving the ability of the endoscope camera system to process image signals. Moreover, the conversion unit can also include an encryption module to encrypt the unified data, which can ensure the security of data transmission between the conversion unit based on FPGA and the processing unit based on SoC.

[0067] Next, a detailed introduction to the image signal normalization processing method in the embodiment of the present application will be given.

[0068] Figure 5 is a flowchart of an image signal normalization processing method provided by the embodiment of the present application. The image signal normalization processing method includes:

[0069] Step 501: Receive image data, which carries an image signal and corresponding target signal identification, target endoscope type, target sensor interface type, and target transmission protocol.

[0070] The process of the above step 501 has been described in detail in the above content. Please refer to the relevant content above and will not be elaborated here.

[0071] Step 502: Obtain valid data according to the target signal identification, target sensor interface type, and target transmission protocol in the image data.

[0072] In some embodiments, the target transmission protocol can be parsed based on the target signal identification and target sensor interface type to obtain the valid data.

[0073] The process of step 502 has been described in detail in the above content. Please refer to the relevant content above and will not be elaborated here.

[0074] Step 503: Package the valid data according to a reference protocol to obtain unified data, where the reference protocol is used to indicate the format of the obtained data.

[0075] The process of step 503 has been described in detail in the above content. Please refer to the relevant content above and will not be elaborated here.

[0076] In the embodiment of the present application, by obtaining the valid data in the image data and repackaging the valid data according to the specified reference protocol to obtain unified data, thus, different image data are normalized to unify the image signals, which can meet the requirements of the endoscope imaging system for unified image signals.

[0077] Those skilled in the art can understand that all or part of the functions of the above methods can be implemented in a hardware manner or in a computer program manner. When all or part of the functions in the above embodiments are implemented in a computer program manner, the program can be stored in a computer-readable storage medium. The storage medium can include: read-only memory, random access memory, magnetic disk, optical disk, hard disk, etc. The above functions are realized by a computer executing the program. For example, the program is stored in the memory of the device, and when the processor executes the program in the memory, the above all or part of the functions can be realized. In addition, when all or part of the functions in the above embodiments are implemented in a computer program manner, the program can also be stored in a storage medium such as a server, another computer, magnetic disk, optical disk, flash drive or mobile hard disk, and is saved to the memory of the local device by downloading or copying, or the system of the local device is updated in version. When the processor executes the program in the memory, the above all or part of the functions in the above embodiments can be realized.

[0078] The above uses specific examples to elaborate on the present invention, which is only used to help understand the present invention and is not intended to limit the present invention. For those skilled in the technical field to which the present invention belongs, based on the idea of the present invention, several simple deductions, deformations or substitutions can also be made.

Claims

1. A highly compatible endoscope camera system, characterized in that: comprising one or more endoscopes and an image signal processing device; The endoscope is pluggably connected to the image signal processing device, and the endoscope includes an identification circuit, which is used to determine the target signal identifier, target endoscope type, target sensor interface type and target transmission protocol corresponding to the image signal collected by the endoscope; when the endoscope is connected to the image signal processing device, the endoscope can send image data to the image signal processing device, and the image data carries the image signal, the target signal identifier, the target endoscope type, the target sensor interface type and the target transmission protocol; The image signal processing device comprises: A conversion unit based on FPGA, the conversion unit comprising an input end, a signal conversion module and an output end; the conversion unit is used to receive the image data through the input end; obtain valid data through the signal conversion module according to the target signal identifier in the image data, the target sensor interface type and the target transmission protocol, and package the valid data according to a reference protocol to obtain unified data, wherein the reference protocol is used to indicate the format of the data output by the conversion unit through the output end; A processing unit based on SoC is connected to the output end of the conversion unit, and is used for processing the received unified data according to the target endoscope type.

2. The endoscope camera system according to claim 1, characterized in that: The conversion unit also includes: An encryption module, wherein the conversion unit is further used to encrypt the unified data through the encryption module; The conversion unit is further configured to output the encrypted unified data through the output terminal.

3. The endoscope camera system according to claim 2, characterized in that: The processing unit also includes: The decryption module, the processing unit is further used to decrypt the encrypted unified data through the decryption module to obtain the unified data.

4. The endoscope camera system according to any one of claims 1 to 3, characterized in that: The conversion unit acquires valid data according to the target signal identifier, the target sensor interface type and the target transmission protocol in the image data through the signal conversion module, including: Based on the target signal identifier and the target sensor interface type, the target transmission protocol is parsed to obtain the valid data.

5. The endoscope camera system according to any one of claims 1 to 3, characterized in that: The endoscope camera system also includes: A storage unit, the storage unit is connected to the conversion unit, and the storage unit is used to store the image data received by the conversion unit in real time.

6. The endoscope camera system according to claim 1, characterized in that: The target sensor interface type includes any one or more of HDMI, MIPI, LVDS and analog interface.

7. A method for normalizing an image signal, characterized in that: The method comprises: receiving image data, the image data carrying an image signal and a target signal identifier, a target endoscope type, a target sensor interface type, and a target transmission protocol corresponding to the image signal; Acquire valid data according to the target signal identifier, the target sensor interface type and the target transmission protocol in the image data; The valid data is packaged according to a reference protocol to obtain unified data, and the reference protocol is used to indicate the format of the obtained data.

8. The method according to claim 7, characterized in that The acquiring valid data according to the target signal identifier, the target sensor interface type and the target transmission protocol in the image data comprises: Based on the target signal identifier and the target sensor interface type, the target transmission protocol is parsed to obtain the valid data.

9. A computer-readable storage medium, characterized in that: A computer program is stored on the medium, and the computer program can be executed by a processor to implement the method according to any one of claims 7 to 8.

10. A computer program product comprising a computer program and / or instructions, characterized in that: When the computer program and / or the instructions are executed by a processor, the method according to any one of claims 7 to 8 is implemented.

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