CN112637584B - Camera-based production line static dead pixel calibration method, device, terminal and medium - Google Patents
Camera-based production line static dead pixel calibration method, device, terminal and medium Download PDFInfo
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Abstract
The invention discloses a camera-based production line static dead point calibration method, a device, a terminal and a medium, wherein the method comprises the following steps: the camera is connected with the upper computer through a USB wire; the camera is presented by a wireless network card RNDIS network device on an upper computer; the upper computer establishes network connection with the camera, and sends a preset bad point calibration command to the camera to calibrate dark points and bright points of the camera in a bright field and a dark field respectively; and storing the calibration result in a camera head end system, and setting a static dead point default value after each start of the camera. According to the invention, the camera is connected with the upper computer in a USB connection mode, the camera is presented by the upper computer through wireless network card RNDIS network equipment, after the upper computer successfully establishes network connection with the camera, the camera is calibrated to dark spots and bright spots in bright field and dark field respectively by sending a preset dead spot calibration command, and the calibration result is stored in the camera head end system, so that the camera can conveniently set a static dead spot default value after each start.
Description
Technical Field
The invention relates to the technical field of imaging quality detection of optical cameras, in particular to a camera-based production line static dead pixel calibration method and device, an intelligent terminal and a storage medium.
Background
Along with the development of technology and the continuous improvement of living standard of people, the use of various intelligent terminals such as intelligent televisions is becoming more and more popular, and the intelligent televisions become indispensable entertainment tools in people's life.
The integrated cameras in the intelligent televisions are more and more popular, basic image quality requirements for the cameras are more and more strict, static dead point data of the cameras are recorded at one time currently, the defect of poor consistency exists, and dynamic detection and calibration cannot be performed before delivery according to specific static dead point conditions of each camera.
Accordingly, there is a need for improvement and development in the art.
Disclosure of Invention
The invention aims to solve the technical problems that the cameras in the prior art cannot respectively and dynamically detect and calibrate before leaving a factory according to the specific static dead pixel condition of each camera. And when the static dead pixel calibration of the sensor cannot meet the image quality requirement, performing ISP static dead pixel calibration optimization through a production line before delivery.
The technical scheme adopted by the invention for solving the problems is as follows:
a camera-based production line static dead point calibration method comprises the following steps:
the camera is connected with the upper computer through a USB wire;
the camera is presented by a wireless network card RNDIS network device on an upper computer;
the upper computer establishes network connection with the camera, and sends a preset bad point calibration command to the camera to calibrate dark points and bright points of the camera in a bright field and a dark field respectively;
and storing the calibration result in a camera head end system, and setting a static dead point default value after each start of the camera.
The camera-based production line static dead point calibration method comprises the following steps that the camera is connected with an upper computer through a USB line:
the camera is connected with a USB port of the upper computer through a USB line;
the Camera presents 2 devices at the upper computer end through USB, one is RNDIS network device, and the other is USB Camera device.
The camera-based production line static dead point calibration method, wherein the camera is presented by a wireless network card RNDIS network device on an upper computer, comprises the following steps:
the upper computer identifies RNDIS network equipment and completes ip address configuration so as to control the camera to be presented by the wireless network card RNDIS network equipment.
The camera-based production line static dead point calibration method, wherein the camera is presented by a wireless network card RNDIS network device on an upper computer, comprises the following steps:
the upper computer starts a calibration control program, and the program monitors RNDIS network equipment and USB Camera equipment of the Camera;
the upper computer identifies RNDIS network equipment and completes ip address configuration so as to control the camera to be presented by the wireless network card RNDIS network equipment; .
The camera-based production line static dead point calibration method, wherein the upper computer and the camera are successfully connected by establishing a network, a preset dead point calibration command is sent to the camera, and the calibration of dark points and bright points of the camera under a bright field and a dark field respectively comprises the following steps:
configuring an IP address of an RNDIS network equipment end according to a default IP of a camera end, and establishing network connection between an upper computer and the camera;
when the network connection is established successfully, starting the USB Camera equipment, starting the Camera, and starting preview;
the upper computer sends a preset bad point calibration command to the camera to calibrate the dark points and bright points of the camera in a bright field and a dark field respectively.
The camera-based production line static dead point calibration method, wherein the upper computer and the camera are successfully connected by a network, a preset dead point calibration command is sent to the camera, and the steps of calibrating dark points and bright points of the camera under a bright field and a dark field respectively further comprise:
the upper computer starts a calibration program, and sends calibration commands of bright spots and dark spots to the camera through established network connection according to a preset calibration protocol.
The method for calibrating the static dead pixel of the production line based on the camera comprises the steps of storing a calibration result in a camera head end system, and setting a default value of the static dead pixel after each start of the camera, wherein the step of setting the default value of the static dead pixel comprises the following steps:
after the camera head end successfully calibrates the static dark spot and the two spots respectively, the upper computer sends a storage command, and the camera head end stores the calibration result of the static dead spot into the system.
A camera-based production line static dead point calibration device, wherein the device comprises:
the connecting module is used for controlling the camera to be connected with the upper computer through a USB line;
the control module is used for controlling the camera to be presented by the host computer through wireless network card RNDIS network equipment;
the calibration module is used for controlling the upper computer to establish network connection with the camera successfully, sending a preset bad point calibration command to the camera, and calibrating dark points and bright points of the camera in a bright field and a dark field respectively;
and the calibration result storage module is used for storing the calibration result in the camera head end system and setting a static dead pixel default value after each start of the camera.
An intelligent terminal comprising a memory and one or more programs, wherein the one or more programs are stored in the memory and configured to implement the steps of any of the methods when executed by one or more processors.
A non-transitory computer readable storage medium, wherein instructions in the storage medium, when executed by a processor of an electronic device, enable the electronic device to perform any one of the methods.
The invention has the beneficial effects that: according to the embodiment of the invention, the camera is connected with the upper computer in a USB connection mode, the camera is presented by the upper computer through wireless network card RNDIS network equipment, after the upper computer successfully establishes network connection with the camera, the camera is calibrated to dark spots and bright spots in bright fields and dark fields respectively by sending a preset dead spot calibration command, and the calibration result is stored in a camera head end system, so that the camera can conveniently set a static dead spot default value after each start.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the present invention, and other drawings may be obtained according to the drawings without inventive effort to those skilled in the art.
Fig. 1 is a flow chart of a camera-based production line static dead point calibration method provided in embodiment 1 of the present invention.
Fig. 2 is a schematic flow chart of obtaining a differential upgrade package in the camera-based production line static dead pixel calibration method provided in embodiment 2 of the present invention.
Fig. 3 is a schematic block diagram of a camera-based production line static dead point calibration device according to an embodiment of the present invention.
Fig. 4 is a schematic block diagram of an internal structure of an intelligent terminal according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more clear and clear, the present invention will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
It should be noted that, if directional indications (such as up, down, left, right, front, and rear … …) are included in the embodiments of the present invention, the directional indications are merely used to explain the relative positional relationship, movement conditions, etc. between the components in a specific posture (as shown in the drawings), and if the specific posture is changed, the directional indications are correspondingly changed.
The existing integrated cameras in intelligent televisions are more and more common, basic image quality requirements for the cameras are more and more strict, static dead point data of the cameras are recorded at one time currently, the defect of poor consistency exists, and the problem of respectively and dynamically detecting and calibrating the cameras before leaving factories cannot be carried out according to specific static dead point conditions of each camera.
In order to solve the problems in the prior art, in the embodiment of the invention, a camera is connected with an upper computer in a USB connection mode, the camera is presented by wireless network card RNDIS network equipment at the upper computer, after the upper computer successfully establishes network connection with the camera, the upper computer respectively calibrates dark spots and bright spots of the camera in a bright field and a dark field by sending a preset bad spot calibration command, and stores the calibration result in a camera head end system, so that the camera is convenient to set a static bad spot default value after each start.
Exemplary method
As shown in fig. 1, an embodiment of the present invention provides a camera-based production line static dead point calibration method, which can be applied to an intelligent terminal. In an embodiment of the present invention, the method includes the following steps:
step S100, the camera is connected with an upper computer through a USB line;
the embodiment of the invention aims at carrying out ISP static dead point calibration optimization on a production line before delivery when the static dead point calibration of the existing sensor can not meet the image quality requirement.
In the specific implementation, the camera is connected with the upper computer through a USB line. For example, the camera is connected with a USB port of the upper computer through a USB line; in the invention, the Camera can present 2 devices at the upper computer end through the USB, one is RNDIS network device and the other is USB Camera device.
Step S200, the camera is presented by a wireless network card RNDIS network device on an upper computer;
the RNDIS network device may be a wireless network card or a limited network card. The invention sets the camera to be presented by the wireless network card RNDIS network equipment on the host computer.
Specifically, the host computer recognizes the RNDIS network device and completes ip address configuration so as to control the camera to be presented by the wireless network card RNDIS network device on the host computer. For example, the upper computer starts a calibration control program, and the program monitors RNDIS network equipment and USB Camera equipment of the Camera; the upper computer recognizes the RNDIS network equipment through the RNDIS network equipment driver and completes ip address configuration so as to control the camera to be presented by the wireless network card RNDIS network equipment on the upper computer.
Step S300, the upper computer and the camera are successfully connected in a network, and a preset bad point calibration command is sent to the camera to calibrate the dark points and the bright points of the camera in a bright field and a dark field respectively;
in the embodiment of the invention, the upper computer and the camera are successfully connected in a network, and a preset bad point calibration command is sent to the camera to calibrate the dark points and bright points of the camera in a bright field and a dark field respectively.
In the embodiment of the invention, dark spots in a bright field and a dark field and dark spots in a bright spot refer to dark spots in the bright field, and bright spots refer to bright spots in the dark field.
Specifically, configuring an IP address of an RNDIS network device end according to a default IP of a camera end, and establishing network connection between an upper computer and the camera;
in the embodiment of the invention, regarding the default IP of the camera end, before the camera leaves the factory, an RNDIS (remote network driver interface protocol) is set in the built-in code. The IP address of the network port is the default IP address.
In the embodiment of the present invention, how to configure the IP address of the RNDIS network device side: the method comprises the steps of configuring an IP address of an RNDIS network device end, requiring an upper computer program to identify the RNDIS network device through a USB line, and configuring the IP address for the identified network device through a standard program interface, so that after the IP address of the RNDIS network device is configured, the network device can normally communicate with a camera, such as sending a calibration command and the like. The advantage of this arrangement is that the two-way communication between the upper computer and the camera end can be completed by means of the USB line without any additional communication means.
When the network connection is established successfully, starting the USB Camera equipment, starting the Camera, and starting preview;
the upper computer starts a calibration program, and sends calibration commands of bright spots and dark spots to the camera through established network connection according to a preset calibration protocol. The upper computer sends a preset bad point calibration command to the camera to calibrate the dark points and bright points of the camera in a bright field and a dark field respectively.
The predetermined calibration protocol in this step refers to a predefined command for use in a subsequent camera calibration process, such as: calibration dark spot commands, calibration bright spot commands, storage calibration result commands, etc.
In this embodiment, the host computer sends a predetermined dead pixel calibration command to the camera, and the specific refinement steps of calibrating the dark and bright spots of the camera in the bright field and the dark field respectively are as follows:
the upper computer sequentially sends the command of calibrating the dark spot and the bright spot through the configured RNDIS network, and after receiving the corresponding command, the camera head end carries out a corresponding calibration process through a built-in calibration module to generate a corresponding calibration result.
The inventor has illustrated and described the benefits such that the calibration process is completed automatically at the camera head end, which is convenient and fast.
Step 400, storing the calibration result in the camera head end system for setting a static dead point default value after each start of the camera.
In the embodiment of the invention, the calibration result is stored in the camera head end system and is used for setting the default value of the static dead pixel after each start of the camera. After the camera head end successfully calibrates the static dark spot and the bright spot respectively, the upper computer sends a storage command, and the camera head end stores the calibration result of the static dead spot into the system.
In the embodiment of the invention, successful calibration of the static dark spot and the bright spot means that the detected bright spot and the detected dark spot coordinate record are stored. Therefore, in the process of the subsequent real-time application of the camera, the camera processing module can perform color compensation on the bright spots and the dark spots according to the coordinates of the bright spots and the dark spots, so that the preview picture is more natural and accurate.
Example 2
As shown in fig. 2, a method for calibrating a static dead point of a production line based on a camera according to an embodiment of the present invention includes the following steps:
step S10: the camera is connected with the upper computer through a USB line.
Step S11, the upper computer generates 2 usb devices: 1. RNDIS network card; 2. USB camera;
in this embodiment, the Camera is provided with a USB connection line and is directly connected to the USB port of the host computer, and at this time, the Camera device presents 2 devices at the host computer through USB, one is an RNDIS network device and the other is a USB Camera device.
And step S12, the upper computer starts a static dead pixel calibration program.
And S13, setting an IP address of RNDIS network equipment (network card) and establishing network connection with the camera.
And S14, starting the USB camera for previewing.
In this embodiment: the upper computer identifies RNDIS network equipment and completes ip address configuration.
After the upper computer starts a calibration control program and the program monitors the RNDIS and the USB Camera equipment, firstly, the IP address of the RNDIS network equipment end is configured according to the default IP of the Camera end, network connection is established, then, the USB Camera equipment is started, the Camera is started, and previewing is started.
The USB wireless RNDIS network device is a network card transmitted through a USB interface, and a driving protocol adopted by the network card is Rndis.
And S15, the upper computer sends a calibration static dark spot command through network connection.
And S16, the upper computer sends a calibration static lighting command through network connection.
In this embodiment, the host computer starts to perform the camera dead pixel calibration.
And the upper computer calibration program establishes network connection through the previous step according to a preset calibration protocol, and respectively sends calibration commands of bright spots and dark spots to the camera to finish the process.
And step S17, the upper computer sends a command for storing the calibration parameters through network connection.
In this embodiment, the static dead point calibration result is stored.
After the camera head end successfully calibrates the static dark spot and the two spots respectively, the upper computer sends a storage command, and the camera head end stores the calibration result of the static dead spot into the system.
Therefore, the invention can solve the problem that when the static dead spot calibration of the sensor can not meet the image quality requirement, ISP static dead spot calibration optimization is carried out through a production line before delivery, the invention connects the camera and the upper computer through a USB connection mode, the camera is presented by a wireless network card RNDIS network device at the upper computer, after the upper computer successfully establishes network connection with the camera, the camera respectively calibrates dark spots and bright spots under bright field and dark field by sending a preset dead spot calibration command, and stores the calibration result in a camera head end system, thereby being convenient for setting static dead spot default values after each start of the camera.
Exemplary apparatus
As shown in fig. 3, an embodiment of the present invention provides a camera-based production line static dead point calibration device, which includes:
the connection module 510 is used for controlling the camera to be connected with an upper computer through a USB line;
the control module 520 is used for controlling the camera to be presented by the wireless network card RNDIS network equipment on the host computer;
the calibration module 530 is used for controlling the upper computer to establish network connection with the camera successfully, and sending a preset bad point calibration command to the camera to calibrate the dark points and bright points of the camera in the bright field and the dark field respectively;
the calibration result storage module 540 is configured to store the calibration result in the camera head system, and is configured to set a static dead pixel default value after each start of the camera, as described above.
Based on the above embodiment, the present invention further provides an intelligent terminal, and a functional block diagram thereof may be shown in fig. 4. The intelligent terminal comprises a processor, a memory, a network interface, a display screen and a camera which are connected through a system bus. The processor of the intelligent terminal is used for providing computing and control capabilities. The memory of the intelligent terminal comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The network interface of the intelligent terminal is used for communicating with an external terminal through network connection. The computer program is executed by a processor to realize a camera-based production line static dead point calibration method. The display screen of the intelligent terminal can be a liquid crystal display screen or an electronic ink display screen, and the camera of the intelligent terminal is arranged in the intelligent terminal in advance.
It will be appreciated by those skilled in the art that the schematic block diagram shown in fig. 4 is merely a block diagram of a portion of the structure associated with the present inventive arrangements and is not limiting of the smart terminal to which the present inventive arrangements are applied, and that a particular smart terminal may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In one embodiment, a smart terminal is provided that includes a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by one or more processors, the one or more programs comprising instructions for:
the camera is connected with the upper computer through a USB wire;
the camera is presented by a wireless network card RNDIS network device on an upper computer;
the upper computer establishes network connection with the camera, and sends a preset bad point calibration command to the camera to calibrate dark points and bright points of the camera in a bright field and a dark field respectively;
and storing the calibration result in a camera head end system, and setting a static dead point default value after each start of the camera.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
In summary, the invention discloses a camera-based production line static dead point calibration method, a device, an intelligent terminal and a storage medium, wherein the method comprises the following steps: the camera is connected with the upper computer through a USB wire; the camera is presented by a wireless network card RNDIS network device on an upper computer; the upper computer establishes network connection with the camera, and sends a preset bad point calibration command to the camera to calibrate dark points and bright points of the camera in a bright field and a dark field respectively; and storing the calibration result in a camera head end system, and setting a static dead point default value after each start of the camera. According to the embodiment of the invention, the camera is connected with the upper computer in a USB connection mode, the camera is presented by the upper computer through wireless network card RNDIS network equipment, after the upper computer successfully establishes network connection with the camera, the camera is calibrated to dark spots and bright spots in bright fields and dark fields respectively by sending a preset dead spot calibration command, and the calibration result is stored in a camera head end system, so that the camera can conveniently set a static dead spot default value after each start.
It will be understood that the application of the present invention is not limited to the examples described above, and that modifications and variations may be made by those skilled in the art in light of the above description, such as simulating an rndis network card via usb protocol, and network communication control may be implemented via usb wires only, all of which are intended to fall within the scope of the appended claims.
Claims (8)
1. The method for calibrating the static dead point of the production line based on the camera is characterized by comprising the following steps of:
the camera is connected with the upper computer through a USB wire;
the camera is presented by a wireless network card RNDIS network device on an upper computer;
the upper computer establishes network connection with the camera, and sends a preset bad point calibration command to the camera to calibrate dark points and bright points of the camera in a bright field and a dark field respectively;
storing the calibration result in a camera head end system for setting a static dead point default value after each start of the camera;
the step of successfully establishing network connection between the upper computer and the camera, sending a preset dead point calibration command to the camera, and calibrating dark points and bright points of the camera in a bright field and a dark field respectively further comprises the following steps:
the upper computer starts a calibration program, and respectively sends calibration commands of bright spots and dark spots to the camera through established network connection according to a preset calibration protocol;
the upper computer sequentially sends a command for calibrating the dark spot and the bright spot through the configured RNDIS network, and after receiving the corresponding command, the camera end performs a corresponding calibration process through a built-in calibration module to generate a corresponding calibration result;
the step of storing the calibration result in the camera head end system for setting the default value of the static dead pixel after each start of the camera comprises the following steps:
after the camera head end successfully calibrates the static dark spots and the bright spots respectively, the upper computer sends a storage command, and the camera head end stores the calibration result of the static dead spots into the system.
2. The method for calibrating the static dead pixel of the production line based on the camera according to claim 1, wherein the step of connecting the camera to the upper computer through the USB line comprises the following steps:
the camera is connected with a USB port of the upper computer through a USB line;
the Camera presents 2 devices at the upper computer end through USB, one is RNDIS network device, and the other is USB Camera device.
3. The camera-based production line static dead point calibration method according to claim 1, wherein the camera is presented by a wireless network card RNDIS network device on an upper computer, and the method comprises the following steps:
the upper computer identifies RNDIS network equipment and completes ip address configuration so as to control the camera to be presented by the wireless network card RNDIS network equipment.
4. The camera-based production line static dead point calibration method according to claim 1, wherein the camera is presented by a wireless network card RNDIS network device on an upper computer, and the method comprises the following steps:
the upper computer starts a calibration control program, and the program monitors RNDIS network equipment and USB Camera equipment of the Camera;
the upper computer identifies RNDIS network equipment and completes ip address configuration so as to control the camera to be presented by the wireless network card RNDIS network equipment.
5. The camera-based production line static dead pixel calibration method of claim 1, wherein the upper computer and the camera are successfully connected by a network, and sending a predetermined dead pixel calibration command to the camera to calibrate the dark and bright spots of the camera in a bright field and a dark field respectively comprises:
configuring an IP address of an RNDIS network equipment end according to a default IP of a camera end, and establishing network connection between an upper computer and the camera;
when the network connection is established successfully, starting the USB Camera equipment, starting the Camera, and starting preview;
the upper computer sends a preset bad point calibration command to the camera to calibrate the dark points and bright points of the camera in a bright field and a dark field respectively.
6. The utility model provides a product line static bad point calibrating device based on camera, its characterized in that, the device includes:
the connecting module is used for controlling the camera to be connected with the upper computer through a USB line;
the control module is used for controlling the camera to be presented by the host computer through wireless network card RNDIS network equipment;
the calibration module is used for controlling the upper computer to establish network connection with the camera successfully, sending a preset bad point calibration command to the camera, and calibrating dark points and bright points of the camera in a bright field and a dark field respectively;
the upper computer starts a calibration program, and respectively sends calibration commands of bright spots and dark spots to the camera through established network connection according to a preset calibration protocol;
the upper computer sequentially sends a command for calibrating the dark spot and the bright spot through the configured RNDIS network, and after receiving the corresponding command, the camera end performs a corresponding calibration process through a built-in calibration module to generate a corresponding calibration result;
the calibration result storage module is used for storing the calibration result in the camera head end system and setting a static dead pixel default value after each start of the camera;
after the camera head end successfully calibrates the static dark spots and the bright spots respectively, the upper computer sends a storage command, and the camera head end stores the calibration result of the static dead spots into the system.
7. An intelligent terminal comprising a memory and a processor, wherein the memory has a program stored therein and is configured to implement the steps of the method of any of claims 1-5 when the program is executed by the processor.
8. A non-transitory computer readable storage medium, wherein instructions in the storage medium, when executed by a processor of an electronic device, enable the electronic device to perform the method of any one of claims 1-5.
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| CN109348146B (en) * | 2018-10-31 | 2021-03-02 | 上海集成电路研发中心有限公司 | Static dead pixel correction device and method for image sensor |
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| CN101478597A (en) * | 2009-01-13 | 2009-07-08 | 深圳市同洲电子股份有限公司 | Method, system and mobile terminal for connection switch |
| CN110830795A (en) * | 2020-01-09 | 2020-02-21 | 武汉精立电子技术有限公司 | Image sensor dead pixel detection method and device and electronic equipment |
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