Object data detection system and method

Abstract

The invention discloses an object data detection system, which comprises a scanning device, a projection device and a processor, and is characterized in that the scanning device is used for scanning a target object to obtain target scanning data of the target object and sending the target scanning data to the processor; the processor is used for acquiring standard object data corresponding to the target scanning data, determining target projection data corresponding to at least part of object areas of the target object according to a projection pose relation between the projection device and the target object and the standard object data, and sending the target projection data to the projection device; and the projection device is used for projecting the target projection data onto the target object. The target projection data is projected to the target object through the projection device, the workpiece deviation data can be visually observed, the readability of the workpiece deviation data is improved, and the correction accuracy of the workpiece deviation data is further improved.

Description

Technical Field

[0001] The present invention relates to the technical field of data detection, and in particular to an object data detection system and method. Background Art

[0002] With the rapid development of the manufacturing industry, the precision of workpieces produced has also been greatly improved. However, in the actual production process, due to the influence of various factors, the workpieces will still deviate from the standard workpieces. How to detect and correct the deviation data of the workpiece has become an urgent problem to be solved.

[0003] In the prior art, the workpiece is generally scanned, and the deviation data between the workpiece and the standard workpiece data is obtained by comparing the scanned data of the workpiece with the standard workpiece data, and the deviation data of the workpiece is displayed on the computer. Then the technician corrects the deviation of the workpiece based on experience and the deviation data on the computer.

[0004] However, technicians can only judge the deviation position of the workpiece based on experience and the deviation data on the computer. This method of judging the deviation position based on experience may lead to the failure of deviation correction and further aggravate the deviation between the workpiece and the standard workpiece. There are problems such as poor readability of workpiece deviation data and low correction accuracy of workpiece deviation data. Summary of the invention

[0005] The present invention provides an object data detection system and method to solve the problems in the prior art that the readability of workpiece deviation data is poor and the correction accuracy of the workpiece deviation data is low.

[0006] According to one aspect of the present invention, there is provided an object data detection system, comprising: a scanning device, a projection device and a processor, wherein:

[0007] The scanning device is used to scan the target object, obtain target scanning data of the target object, and send the target scanning data to the processor;

[0008] The processor is configured to obtain standard object data corresponding to the target scanning data, determine target projection data corresponding to at least a portion of the object area of ​​the target object according to a projection posture relationship between the projection device and the target object and the standard object data, and send the target projection data to the projection device;

[0009] The projection device is used to project the target projection data onto the target object.

[0010] According to another aspect of the present invention, there is provided an object data detection method, which is applied to an object data detection system, and the method comprises:

[0011] Scanning a target object by a scanning device to obtain target scanning data of the target object, and sending the target scanning data to a processor;

[0012] Acquire standard object data corresponding to the target scanning data through a processor, determine target projection data corresponding to at least a portion of the object area of ​​the target object according to a projection posture relationship between the projection device and the target object and the standard object data, and send the target projection data to the projection device;

[0013] The target projection data is projected onto the target object through a projection device.

[0014] The technical solution of the embodiment of the present invention is to scan the target object through a scanning device to obtain target scanning data of the target object, and send the target scanning data to a processor. Then, the processor obtains standard object data corresponding to the target scanning data, and determines target projection data corresponding to at least a part of the object area of ​​the target object according to the projection posture relationship between the projection device and the target object and the standard object data, and finally sends the target projection data to the projection device, and projects the target projection data onto the target object through the projection device, so that the workpiece deviation data can be observed intuitively, the readability of the workpiece deviation data is improved, and the correction accuracy of the workpiece deviation data is further improved.

[0015] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0017] Figure 1 A schematic diagram of the structure of an object data detection system provided in Embodiment 1 of the present invention;

[0018] Figure 2 The present invention is a flowchart of an object data detection method provided according to the second embodiment of the present invention. DETAILED DESCRIPTION

[0019] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0020] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0021] Embodiment 1

[0022] Figure 1 This is a schematic diagram of the structure of an object data detection system provided in Embodiment 1 of the present invention. This embodiment is applicable to the case where target projection data is projected onto a target object. The system can be implemented in the form of hardware and / or software. Figure 1 As shown, the object data detection system includes: a scanning device 110 , a processor 120 and a projection device 130 .

[0023] The scanning device 110 can be used to scan the target object, obtain target scanning data of the target object, and send the target scanning data to the processor; the processor 120 can be used to obtain standard object data corresponding to the target scanning data, determine target projection data corresponding to at least a partial object area of ​​the target object according to the projection posture relationship between the projection device and the target object and the standard object data, and send the target projection data to the projection device; the projection device 130 can be used to project the target projection data onto the target object.

[0024] Among them, the target object can be an entity that needs to be subjected to deviation detection and deviation correction, such as a workpiece, a product, or other object that needs to be evaluated for its compliance or accuracy. The target object can be composed of multiple object areas, and the partial object area can be one or more object areas that constitute the target object. The partial object area can be obtained by stitching together a single independent object area, multiple object areas, or all object areas in the target object. For example, if the target object is composed of area 1, area 2, area 3, and area 4, the partial object area can be an independent object area of ​​area 1 or area 2, or an object area obtained by stitching together area 1 and area 2 or other areas, or an object area composed of stitching together area 1, area 2, area 3, and area 4. By determining different object areas, it is possible to flexibly perform deviation detection on different areas of the target object according to the actual detection needs of the user, thereby improving the user detection experience.

[0025] The target scanning data may be scanning data corresponding to the target object obtained by scanning the target object with a scanning device, and the target scanning data may include scanning data of at least a part of the object area of ​​the target object. The target scanning data may be used to characterize the current actual state of the target object. The target scanning data may include detailed parameter data of the size, shape, surface quality, etc. of the target object. By scanning the target object with a scanning device, target scanning data characterizing the actual state of the target object can be obtained, which provides a data detection basis for deviation detection of the target object and improves the accuracy of deviation detection of the target object.

[0026] The standard object data may be the production standard data of the target object pre-set by the technician, and may be used to detect the deviation of the target object. The projection posture relationship may be determined by the positional relationship between the target object and the projection device, and is used to characterize the posture relationship between the target object and the projection device when the projection device projects the projection data onto the target object. There may be deviations between the target scanning data and the standard object data of the target object.

[0027] Among them, the target projection data can be the projection data projected onto the target object by the projection device, which is determined by the processor according to the projection posture relationship between the projection device and the target object and the standard object data. By processing the deviation data of the target object according to the projection posture relationship between the projection device and the target object, projection data corresponding to at least part of the object area of ​​the target object can be obtained, and the deviation data of the target object is projected onto the corresponding object area of ​​the target object by the projection device, so that the technician who corrects the target object can intuitively observe the deviation data of the target object on the target object, and then correct the deviation of the target object according to the deviation data of the target object. Projecting the target projection data onto the target object allows the technician to directly observe the deviation of the target object in the corresponding area on the target object, avoiding the situation where the correction technician makes an erroneous correction, thereby improving the accuracy of the correction technician's correction of the target object while improving the efficiency of the correction of the deviation of the target object.

[0028] Exemplarily, when performing deviation detection and correction on the target object, the technician can scan the data of the target object through a scanning device. After scanning the data of the target object, the scanning device sends the scanned data to the processor. The processor receives the target scanned data sent by the scanning device, and determines the standard object data corresponding to the target scanned data according to the position information of the target scanned data. The deviation data of the target object is determined according to the comparison result between the target scanned data and the standard object data corresponding to the target scanned data, and the deviation data of the target object is processed according to the projection posture relationship between the projection device and the target object to obtain the target projection data corresponding to at least part of the object area of ​​the target object. By processing the deviation data of the target object according to the projection posture relationship between the projection device and the target object, the target projection data corresponding to at least part of the object area of ​​the target object can be obtained. After obtaining the target projection data corresponding to at least part of the object area of ​​the target object, the target projection data can be sent to the projection device, and the projection device can project the deviation data of the target object to the corresponding object area of ​​the target object. When the technician corrects the target object, he can directly observe the projection data projected on the target object, and then correct the deviation of the target object according to the projection data on the target object.

[0029] The processor is specifically used to: determine a comparative chromatogram with the target object according to the standard object data and the target scan data, and determine target deviation data according to the comparative chromatogram, wherein the target scan data includes scan data of at least a partial object area of ​​the target object.

[0030] The comparison chromatogram may be a chromatogram determined by the processor after comparing the standard object data and the target scan data, and used to characterize the deviation data between the scan data of the target object and the standard object data. The comparison chromatogram may represent the deviation between the target scan data and the standard object data. For example, different degrees of deviation may be distinguished by color gradients or different color areas. The target deviation data may be specific deviation information extracted from the comparison chromatogram, including deviation data information such as the position, size, and direction of the deviation.

[0031] The processor is further used to: determine the deviation points in the target object and the deviation types corresponding to the deviation points according to the comparison chromatogram, determine the deviation marks corresponding to the deviation points according to the deviation types corresponding to the deviation points, and determine the target projection data according to the deviation points and the deviation marks corresponding to the deviation points.

[0032] The deviation point may be a point on the target object that deviates from the standard object data. The deviation type may be a specific type of difference between the target object and the standard object data, and the deviation type may include size deviation, shape deviation, position deviation, color deviation and other types. The deviation mark may include at least one of a deviation value under the deviation type, deviation correction guidance information corresponding to the deviation type, and a type identifier for characterizing the deviation type. The deviation mark may be a mark for characterizing the deviation type and deviation value of the deviation point, and may be used to assist the deviation correction personnel in correcting the deviation point of the target object. The deviation value under the deviation type may be the specific amount or degree of difference between the target object and the standard object data under any deviation type.

[0033] The deviation value may be a specific deviation value used to quantify the deviation between the target object and the standard object data. For example, under the size deviation type, the deviation value may indicate the difference between the actual size of the target object and the standard size; under the position deviation type, the deviation value may indicate the offset between the actual position of a feature point on the target object and the standard position. When correcting the deviation of the target object, the correction personnel can directly determine the deviation of the target object based on the deviation value.

[0034] Among them, the deviation correction guidance information can be a correction suggestion or correction step corresponding to any deviation type, and different deviation types correspond to different deviation correction guidance information. The deviation correction guidance information can be a correction measure preset by technical personnel in this field based on professional knowledge and experience. The deviation correction guidance information may include information such as adjustment methods, required tools or equipment, and correction steps. When correcting the deviation of the target object, the correction personnel can follow these guidance information to perform the correction operation more effectively to reduce or eliminate the deviation. The type identification can be identification information such as symbols, codes or color codes used to correct the deviation type. The correction personnel can quickly determine the nature and type of the deviation by observing the type identification of the deviation point, and thus take corresponding treatment measures.

[0035] The scanning device is used to scan multiple local areas of the target object to obtain target scanning data of the target object, and send the target scanning data to the processor; the processor is used to splice the target scanning data of the multiple local areas into object scanning data of the target object, and determine standard object data based on the object scanning data; or, respectively determine the standard object data corresponding to the target scanning data of each of the local areas.

[0036] The target object may be a whole composed of multiple local areas. Before scanning the target object, the target object may be divided into multiple local areas to facilitate the scanning of the target object by the technician. Among them, the local areas may be object areas that constitute the target object.

[0037] Exemplarily, when scanning the target object, the scanning device may sequentially scan multiple local areas constituting the target object. After receiving the local area scanning result of the target object sent by the scanning device, the processor may determine a single local area scanning result of the target object as the target scanning data, and determine the standard data corresponding to the single local area as the standard object data; or after receiving the local area scanning result of the target object sent by the scanning device, the processor may splice multiple local area scanning results of the target object, and determine the spliced ​​data as the target scanning data, and determine the standard data corresponding to the object data obtained by splicing the multiple local area scanning results as the standard object data.

[0038] The processor is specifically configured to: determine a target scaling ratio according to object information of the target object, and scale the standard object data according to the target scaling ratio to obtain target projection data.

[0039] The target scaling ratio may be a scaling ratio determined according to the difference between the actual size of the target object and the size in the standard object data. The target scaling ratio is used to scale the deviation data to ensure that the image data projected onto the target object matches the actual size of the target object.

[0040] By determining a target scaling ratio according to the object information of the target object through a processor, the standard object data is scaled according to the target scaling ratio to obtain target projection data, which can improve the adaptability and accuracy of projection data and optimize visual effects and user experience.

[0041] The object data detection system also includes: a tracking device; wherein the tracking device is used to identify the marked feature points on the target object, determine the projection posture relationship between the projection device and the target object according to the recognition result, and send the projection posture relationship to the processor. The number of tracking devices can be at least one, that is, one or more, and the specific number can be set according to the size of the target object or the actual tracking requirements of the target object. Multiple tracking devices can be fixed in different directions of the target object, thereby achieving the purpose of identifying and tracking all the marked feature points on the target object.

[0042] Among them, the marked feature points can be points or features on the target object that are easy to identify and locate, can be pre-set marked points, or can be obvious feature points on the target object. The marked feature points can be used to determine the projection posture relationship between the projection device and the target object. For example, the feature points can be corner points, edges, center points or other significant features of the target object. By identifying these feature points, the tracking device can accurately calculate the relative position and posture between the projection device and the target object. The recognition result can be the information obtained after the tracking device identifies the marked feature points on the target object. The recognition result may include the position, quantity, type, etc. of the feature points, and the recognition result can be used to determine the projection posture relationship between the projection device and the target object.

[0043] The tracking device identifies the marked feature points on the target object, determines the object area corresponding to the target scanning data of the target object scanned by the scanning device, and determines the projection posture relationship between the projection device and the target object. The projected data is processed according to the projection posture relationship, and the processed projection data is determined as the target projection data, which can improve the projection accuracy and enable the projected image to be accurately projected onto the corresponding area of ​​the target object.

[0044] Optionally, the projection device may be provided on the tracking device. In the case of including multiple tracking devices, a corresponding projection device may be provided on each tracking device, so that the projection device can more accurately project all image data that need to be projected to any area of ​​the target object. By providing the projection device on the tracking device, the projection area of ​​the projection device can cover the tracking area of ​​the tracking device, ensuring that the range of the projection device is greater than or equal to the tracking range of the tracking device, so that the projection device can project the target projection data to any object area of ​​the target object. While improving the projection accuracy, it is ensured that the projection range of the projection device can cover the entire object area of ​​the target object.

[0045] The processor is further used to: determine preliminary projection data according to the standard object data, and perform posture transformation on the preliminary projection data according to the projection posture relationship between the projection device and the target object to obtain the target projection data.

[0046] The preliminary projection data may be deviation data generated by comparing the standard object data with the target scan data without undergoing posture transformation. The preliminary projection data is used to characterize the deviation projection data between the target object and the standard object data.

[0047] The posture transformation may be a process of adjusting and transforming the preliminary projection data according to the actual posture relationship between the projection device and the target object. Through the posture transformation, it can be ensured that the projection data can be accurately aligned and covered on the corresponding area of ​​the target object. The posture transformation may include at least one of the transformation operations such as translation, rotation and scaling.

[0048] The processor determines preliminary projection data according to the standard object data, and performs posture transformation on the preliminary projection data according to the projection posture relationship between the projection device and the target object to obtain the target projection data. Projection data corresponding to each local area of ​​the target object can be obtained, thereby enhancing the projection adaptability of the projection device and optimizing the projection effect of the projection device.

[0049] The object data detection system also includes: a display device; wherein the display device is used to display the target deviation data of the target object; the processor is also used to respond to the user's deviation data projection instruction, determine the target deviation projection data according to the deviation data projection instruction, and project the target deviation projection data; the projection device is also used to project the target deviation projection data onto the target object.

[0050] The deviation data projection instruction may be an instruction for projecting the deviation data generated by a technician after clicking on the target deviation data displayed on the display device. The target deviation projection data may be identification information corresponding to the deviation projection data selected by the user in the deviation data projection instruction. The deviation data projection instruction may include identification information of the target deviation projection data.

[0051] Exemplarily, the target deviation data displayed on the display device includes deviation data of deviation point A, deviation data of deviation point B, deviation data of deviation point C, and deviation data of deviation point D. The user can click on the deviation data of deviation point A and determine the deviation data of deviation point A as target deviation projection data. After receiving the target deviation projection data sent by the processor, the projection device can project the target deviation projection data onto the target object.

[0052] Displaying the target deviation data of the target object through the display device can allow the user to observe the deviation of the target object macroscopically on the display device, which is convenient for the user to evaluate the state of the target object from the overall perspective. The user can issue a deviation data projection instruction to select one or more target deviation data from the target deviation data of the target object for projection, which can avoid interference with the user's correction work caused by projecting multiple target deviation data at the same time, and further improve the correction speed of the target deviation data.

[0053] The technical solution of this embodiment is to scan the target object through a scanning device to obtain scanning data corresponding to multiple local areas of the target object. When the processor performs deviation detection on the target object, the scanning data corresponding to a single local area or a region composed of multiple local areas can be determined as target scanning data, and the standard object data corresponding to the target scanning data can be determined. The target object is detected by the target scanning data and the standard object data corresponding to the target scanning data, and the object area to be detected each time in the target object can be flexibly determined. After the target deviation data of the target object is determined, the target deviation data can be transformed and scaled in combination with the projection posture relationship between the projection device and the target object to obtain target projection data. Then, according to the user's deviation data projection instruction, the target deviation projection data is determined, and the target deviation projection data is projected onto the target object through the projection device, which can avoid the interference of the user's correction work caused by the simultaneous projection of multiple target deviation data, and further improve the correction speed and correction accuracy of the target deviation data.

[0054] Embodiment 2

[0055] Figure 2 This is a flow chart of an object data detection method provided in Embodiment 2 of the present invention. Figure 2 As shown, the method includes:

[0056] S110 . Scan a target object by using a scanning device to obtain target scanning data of the target object, and send the target scanning data to a processor.

[0057] S120, obtaining, through a processor, standard object data corresponding to the target scanning data, determining target projection data corresponding to at least a partial object area of ​​the target object according to a projection posture relationship between the projection device and the target object and the standard object data, and sending the target projection data to the projection device.

[0058] S130: Projecting the target projection data onto the target object through a projection device.

[0059] The technical solution of the embodiment of the present invention is to scan the target object through a scanning device to obtain the target scanning data of the target object, and send the target scanning data to a processor. The processor obtains the standard object data corresponding to the target scanning data, determines the target projection data corresponding to at least a part of the object area of ​​the target object according to the projection posture relationship between the projection device and the target object and the standard object data, and sends the target projection data to the projection device. The target projection data is projected onto the target object through the projection device. The workpiece deviation data can be intuitively observed, the readability of the workpiece deviation data is improved, and the correction accuracy of the workpiece deviation data is further improved.

[0060] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0061] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. An object data detection system, characterized in that: include: A scanning device, a projection device and a processor, wherein: The scanning device is used to scan the target object, obtain target scanning data of the target object, and send the target scanning data to the processor; The processor is configured to obtain standard object data corresponding to the target scanning data, determine target projection data corresponding to at least a portion of the object area of ​​the target object according to a projection posture relationship between the projection device and the target object and the standard object data, and send the target projection data to the projection device; The projection device is used to project the target projection data onto the target object.

2. The object data detection system according to claim 1, characterized in that: The processor is specifically used for: A comparison chromatogram with the target object is determined according to the standard object data and the target scan data, and target deviation data is determined according to the comparison chromatogram, wherein the target scan data includes scan data of at least a partial object area of ​​the target object.

3. The object data detection system according to claim 2, characterized in that: The processor is further configured to: Determine the deviation points in the target object and the deviation types corresponding to the deviation points according to the comparison chromatogram, determine the deviation marks corresponding to the deviation points according to the deviation types corresponding to the deviation points, and determine the target projection data according to the deviation points and the deviation marks corresponding to the deviation points.

4. The object data detection system according to claim 3, characterized in that: The deviation mark includes at least one of a deviation value under the deviation type, deviation correction guidance information corresponding to the deviation type, and a type identifier for characterizing the deviation type.

5. The object data detection system according to claim 1, characterized in that: The scanning device is used to scan multiple local areas of the target object, obtain target scanning data of the target object, and send the target scanning data to the processor. The processor is used to splice the target scan data of multiple local areas into object scan data of the target object, and determine standard object data based on the object scan data; or, respectively determine the standard object data corresponding to the target scan data of each local area.

6. The object data detection system according to claim 1, characterized in that: The processor is specifically used for: A target scaling ratio is determined according to the object information of the target object, and the standard object data is scaled according to the target scaling ratio to obtain target projection data.

7. The object data detection system according to claim 1, characterized in that: Also includes: A tracking device; wherein The tracking device is used to identify the marked feature points on the target object, determine the projection posture relationship between the projection device and the target object according to the identification result, and send the projection posture relationship to the processor.

8. The object data detection system according to claim 1, characterized in that: The processor is further configured to: Preliminary projection data is determined according to the standard object data, and posture transformation is performed on the preliminary projection data according to the projection posture relationship between the projection device and the target object to obtain the target projection data.

9. The object data detection system according to claim 1, characterized in that: Also includes: display device; wherein, The display device is used to display the target deviation data of the target object; The processor is further configured to respond to a deviation data projection instruction from a user, determine target deviation projection data according to the deviation data projection instruction, and project the target deviation projection data onto a device; The projection device is also used to project the target deviation projection data onto the target object.

10. A method for detecting object data, characterized in that: Applied to the object data detection system according to any one of claims 1 to 9, the method comprising: Scanning a target object by a scanning device to obtain target scanning data of the target object, and sending the target scanning data to a processor; Acquire standard object data corresponding to the target scanning data through a processor, determine target projection data corresponding to at least a portion of the object area of ​​the target object according to a projection posture relationship between the projection device and the target object and the standard object data, and send the target projection data to the projection device; The target projection data is projected onto the target object through a projection device.

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