CN211956229U - Laser aiming system and artificial intelligent image processor - Google Patents
Laser aiming system and artificial intelligent image processor Download PDFInfo
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- CN211956229U CN211956229U CN202020657272.XU CN202020657272U CN211956229U CN 211956229 U CN211956229 U CN 211956229U CN 202020657272 U CN202020657272 U CN 202020657272U CN 211956229 U CN211956229 U CN 211956229U
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Abstract
The application discloses a laser aiming system and an artificial intelligence image processor. Wherein, the laser aiming system comprises image acquisition equipment, an artificial intelligence image processor and laser aiming equipment, the artificial intelligence image processor is respectively in communication connection with the image acquisition equipment and the laser aiming equipment, and the artificial intelligence image processor comprises an artificial intelligence processing module and a laser aiming control module. And wherein the artificial intelligence processing module is configured to determine positional information relating to the target object in the predetermined scene from a captured image corresponding to the predetermined scene captured by the image capture device. The laser aiming control module is configured to control the laser aiming device to direct the laser to the target object according to the position information.
Description
Technical Field
The utility model relates to an application relates to the artificial intelligence field, especially relates to a laser aiming system and artificial intelligence image processor.
Background
Laser aiming techniques are currently in widespread use. By projecting laser light onto the target object such that red or green spots are projected on the target object, the target object can be tracked more efficiently. At present, the traditional laser aiming system aims the laser through manpower, namely, the laser aiming equipment is manually operated by the manpower, so that the laser is directed to a target object.
Since laser sighting is performed manually, fatigue of a person is likely to occur in a long-time observation state, and missing or erroneous detection may occur. In particular, in a severe weather environment (for example, in a weather environment where rain, snow, cloudy days, wind, etc. cause a decrease in human eyesight), fatigue is more likely to be induced, which leads to missed detection or erroneous detection; secondly, the existing automatic aiming system is easily affected by non-target objects to cause wrong aiming.
Aiming at the technical problems that the laser aiming is easy to have missed detection or wrong detection by manpower and the related problems that an automatic aiming system is easy to be interfered by non-target objects and the like in the prior art, an effective solution is not provided at present.
SUMMERY OF THE UTILITY MODEL
The utility model provides a laser aiming system and artificial intelligence image processor to solve exist among the prior art, carry out laser aiming through the manpower and appear easily that the technical problem of missed measure or false retrieval appear and automatic aiming system easily receives non-target object interference etc. relevant problem.
In a first aspect, the present invention provides a laser aiming system, which comprises an image acquisition device, an artificial intelligence image processor and a laser aiming device. Wherein, artificial intelligence image processor respectively with image acquisition equipment and laser aim equipment communication connection to artificial intelligence image processor includes artificial intelligence processing module and laser aims control module. And wherein the artificial intelligence processing module is configured to determine positional information relating to the target object in the predetermined scene from a captured image corresponding to the predetermined scene captured by the image capture device. The laser aiming control module is configured to control the laser aiming device to direct the laser to the target object according to the position information.
Optionally, the artificial intelligence processing module includes a target detection unit and a target positioning unit, wherein the target detection unit is configured to detect a target image corresponding to the target object in the collected image according to a preset artificial intelligence model; the target positioning unit is configured to determine first coordinate position information of the target image in the captured image.
Optionally, the laser aiming control module comprises a coordinate conversion unit and a laser aiming control unit. The coordinate conversion unit is configured to receive the first coordinate position information from the target positioning unit and determine second coordinate position information of the target object in the predetermined scene according to the first coordinate position information, and the laser aiming control unit is configured to control the laser aiming device to direct the laser to the target object according to the second coordinate position information.
Optionally, the artificial intelligence image processor further comprises an image preprocessing module, which is in communication connection with the image acquisition device and the artificial intelligence processing module, respectively, and is configured to receive the acquired image from the image acquisition device and perform image preprocessing on the acquired image so as to be suitable for the artificial intelligence processing module to process.
Optionally, the image preprocessing module comprises an image resolution conversion unit and an image enhancement unit, wherein the image resolution conversion unit is configured to convert the resolution of the acquired image into a resolution matched with the artificial intelligence processing module; and the image enhancement unit is configured to enhance the detail information in the captured image.
Optionally, the image resolution conversion unit is configured to: carrying out up-sampling operation on the collected image under the condition that the resolution of the collected image is smaller than the resolution matched with the artificial intelligence model; and/or performing down-sampling operation and/or cropping operation on the acquired image under the condition that the resolution of the acquired image is greater than the resolution matched with the artificial intelligence model.
Optionally, the artificial intelligence image processor further comprises an image fusion module. Wherein the image fusion module is communicatively connected with the image acquisition device and the target positioning unit and is configured to: and adding identification information at the position of the target image in the acquired image according to the first coordinate position information.
Optionally, the laser aiming system further includes an image output interface and an image display device, and the image output interface is in communication connection with the image display device and the image fusion module, respectively.
Optionally, the laser targeting system further comprises an image input interface and a control instruction output interface. The image acquisition equipment is in communication connection with the artificial intelligent image processor through an image input interface; and the artificial intelligent image processor is in communication connection with the laser aiming equipment through the control instruction output interface.
Optionally, the image acquisition device comprises a thermal infrared image acquisition device and/or a visible light image acquisition device, wherein the thermal infrared image acquisition device is configured to acquire a thermal infrared acquisition image corresponding to a predetermined scene and send the thermal infrared acquisition image to the artificial intelligence image processor; and the visible light image acquisition equipment is configured to acquire a visible light acquisition image corresponding to the predetermined scene and send the visible light acquisition image to the artificial intelligence image processor.
Optionally, the laser aiming device is a laser pan-tilt device or a laser galvanometer device.
In a second aspect, the present invention provides an artificial intelligence image processor, which comprises an artificial intelligence processing module and a laser aiming control module. The artificial intelligence processing module is configured to determine position information related to a target object in a predetermined scene according to a collected image corresponding to the predetermined scene; and the laser aiming control module is configured to control the peripheral laser aiming equipment to point the laser to the target object according to the position information.
The embodiment provides a laser aiming system which comprises an image acquisition device, an artificial intelligence image processor and a laser aiming device. Wherein, artificial intelligence image processor respectively with image acquisition equipment and laser aim equipment communication connection to artificial intelligence image processor includes artificial intelligence processing module and laser aims control module. The artificial intelligence processing module is configured to determine position information related to a target object in a predetermined scene according to a captured image corresponding to the predetermined scene captured by the image capturing device. The laser aiming control module is configured to control the laser aiming device to direct the laser to the target object according to the position information. In the embodiment, the position information of the target object in the acquired image is determined by the artificial intelligence processing module in the artificial intelligence image processor, and the laser aiming control module controls the laser aiming equipment to point the laser to the target object according to the position information. Therefore, the technical problem that missing detection or error detection is easy to occur when laser aiming is carried out through manpower in the prior art and the related problems that an automatic aiming system is easily interfered by a non-target object and the like are solved.
Drawings
Some specific embodiments of the present application will be described in detail hereinafter by way of illustration and not limitation with reference to the accompanying drawings. The same reference numbers in the drawings identify the same or similar elements or components. Those skilled in the art will appreciate that the drawings are not necessarily drawn to scale. In the drawings:
fig. 1 is a schematic structural diagram of a laser targeting system according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of an artificial intelligence image processor according to an embodiment of the present application.
Reference numerals: the system comprises an image acquisition device 10, an image input interface 20, an artificial intelligence image processor 30, a control instruction output interface 40, a laser aiming device 50, an image output interface 60, an image display device 70, an image preprocessing module 310, an artificial intelligence processing module 320, a laser aiming control module 330, an image fusion module 340, an image resolution conversion unit 311, an image enhancement unit 312, a target detection unit 321, a target positioning unit 322, a coordinate conversion unit 331, a laser aiming control unit 332, a thermal infrared image acquisition device 110 and a visible light image acquisition device 120.
Detailed Description
It should be noted that, in the present disclosure, the embodiments and features of the embodiments may be combined with each other without conflict. The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
In order to make the technical solutions of the present disclosure better understood by those skilled in the art, the technical solutions of the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are only some embodiments of the present disclosure, not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.
It should be noted that the terms "first," "second," and the like in the description and claims of the present disclosure and in the above-described drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the terms so used are interchangeable under appropriate circumstances for describing the embodiments of the disclosure herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present application. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
Fig. 1 is a schematic structural diagram of a laser aiming system according to an embodiment of the present application, and as shown in fig. 1, a first aspect of the present application provides a laser aiming system, which includes an image acquisition device 10, an artificial intelligence image processor 30, and a laser aiming device 50. Wherein, the artificial intelligence image processor 30 is in communication connection with the image acquisition device 10 and the laser aiming device 50, respectively, and the artificial intelligence image processor 30 comprises an artificial intelligence processing module 320 and a laser aiming control module 330. And wherein artificial intelligence processing module 320 is configured to determine positional information relating to a target object in a predetermined scene from a captured image corresponding to the predetermined scene captured by image capture device 10; the laser targeting control module 330 is configured to control the laser targeting device 50 to direct laser light at the target object based on the position information.
Wherein the artificial intelligence image processor 30 may be, for example, an image processor based on an FPGA architecture. For example, the artificial intelligence image processor 30 may be an image processor implemented with Zynq UltraScale + MPSoC by XILINX or Stratix 10 by Intel.
Specifically, the predetermined scene may be, for example, an actual scene corresponding to an image captured by the image capturing apparatus 10, and the captured image may be, for example, an image captured for the actual scene. As described in the background, the conventional laser aiming systems are manually operated to aim the laser at the target object. Since laser sighting is performed manually, fatigue of a person is likely to occur in a long-time observation state, and missing or erroneous detection may occur. In particular, in a severe weather environment (for example, a weather environment in which rain, snow, wind, and the like cause a reduction in human eyesight), fatigue is more likely to be induced, which leads to missed or erroneous detection. And the current automatic aiming system is easy to be interfered by non-target objects and other related problems.
In view of the above, the present embodiment proposes a laser targeting system, wherein the position information of the target object in the captured image is determined by the artificial intelligence processing module 320 in the artificial intelligence image processor 30, and the laser targeting device 50 is controlled by the laser targeting control module 330 to direct the laser to the target object according to the position information. Thus, the present embodiment controls the laser aiming apparatus 50 to direct laser light to a target object based on the captured image using the artificial intelligence image processor 30, so as to perform laser aiming instead of human. Therefore, the technical problem that missing detection or error detection is easy to occur when laser aiming is carried out through manpower in the prior art and the related problems that an automatic aiming system is easily interfered by a non-target object and the like are solved.
Optionally, the artificial intelligence processing module 320 includes a target detecting unit 321 and a target positioning unit 322, where the target detecting unit 321 is configured to detect a target image corresponding to the target object in the captured image according to a preset artificial intelligence model; the target location unit 322 is configured to determine first coordinate position information of the target image in the captured image.
Specifically, the target detection unit 321 in the artificial intelligence processing module 320 inputs a preset artificial intelligence model, and the artificial intelligence model performs model training on sample data of a determined target object according to user requirements to obtain a trained artificial intelligence model. For example, if the target object to be detected is a person, training is performed using feature data information about the person as sample data to obtain a corresponding artificial intelligence model. The artificial intelligence model of the preset target object is used for detection, a target image corresponding to the person can be detected in the collected image, and then the first coordinate position information of the target image in the collected image is determined through the target position unit 322.
Therefore, compared with other types of technologies (such as dynamic tracking technologies), the trained artificial intelligence model can effectively distinguish the animal or other types of target objects from the human, and false detection is avoided. And even for a target object moving slowly, effective recognition and aiming can be achieved.
Alternatively, as shown in fig. 1, the laser aim control module 330 includes a coordinate conversion unit 331 and a laser aim control unit 332. The coordinate conversion unit 331 is configured to receive the first coordinate position information from the target positioning unit 322 and to determine second coordinate position information of the target object in the predetermined scene based on the first coordinate position information, and the laser aiming control unit 332 is configured to control the laser aiming device 50 to direct the laser to the target object based on the second coordinate position information.
Specifically, after the coordinate conversion unit 331 receives the first coordinate position information from the target positioning unit 322 and determines the second coordinate position information of the target object in the predetermined scene according to the first coordinate position information, the laser aiming control unit 332 sends a control instruction for directing the laser light to the target object to the laser aiming apparatus 50 according to the second coordinate position information, and the laser aiming apparatus 50 directs the laser light to the target object according to the control instruction.
And wherein the second coordinate position information may be actual position information of the target object in the predetermined scene calculated from the first coordinate position information. Thus, the laser targeting control unit 332 may send a control instruction to the laser targeting device 50 to direct the laser light to the target object according to the actual position information, so that the laser targeting device 50 directs the laser light to the target object according to the control instruction. Therefore, the actual position of the target object can be determined according to the position of the target image of the target object in the acquired image, so that the laser can be accurately pointed to the target object.
Optionally, the artificial intelligence image processor 30 further comprises an image preprocessing module 310, wherein the image preprocessing module 310 is communicatively connected to the image capturing device 10 and the artificial intelligence processing module 320, respectively, and is configured to receive the captured image from the image capturing device 10 and perform image preprocessing on the captured image so as to be suitable for the artificial intelligence processing module 320 to perform processing.
Specifically, the artificial intelligence model in the artificial intelligence processing module 32 has a certain standard for the format (e.g., resolution, width, height, etc.) of the applicable image, so that after the image preprocessing module 310 performs image preprocessing on the received collected image, an image suitable for the artificial intelligence model to detect can be obtained, and thus, the efficiency and accuracy of the artificial intelligence processing module 320 in detecting the target object can be improved.
Optionally, the image preprocessing module 310 includes an image resolution conversion unit 311 and an image enhancement unit 312, wherein the image resolution conversion unit 311 is configured to convert the resolution of the acquired image into a resolution matching the artificial intelligence processing module 320; and the image enhancement unit 312 is configured to enhance detail information in the captured image.
Specifically, the image resolution converting unit 311 may operate based on a polyphase filter or a linear filter to convert the resolution of the captured image into a resolution matched with the artificial intelligence processing module 320, thereby improving the efficiency of detecting the target object in the captured image. The image enhancement unit 312 may amplify a detail layer of the acquired image with high noise based on bilateral filtering and suppress the noise, and smoothly acquire the image using guided filtering, and may obtain the acquired image with suppressed noise and enhanced details, thereby improving the accuracy of detecting the target object in the acquired image.
Optionally, the image resolution conversion unit 311 is configured to: carrying out up-sampling operation on the collected image under the condition that the resolution of the collected image is smaller than the resolution matched with the artificial intelligence model; and/or performing down-sampling operation and/or cropping operation on the acquired image under the condition that the resolution of the acquired image is greater than the resolution matched with the artificial intelligence model.
For example, if the resolution of the captured image is 512 × 512 and the resolution of the image matched with the artificial intelligence model is 640 × 640, the embodiment may perform an upsampling operation on the captured image by using the image resolution converting unit 311 to convert the resolution of the captured image from 512 × 512 to 640 × 640. For another example, if the resolution of the captured image is 1080 × 1080 and the resolution of the image matched with the artificial intelligence model is 640 × 640, the image resolution converting unit 311 may perform a down-sampling operation or a cropping operation on the captured image to convert the resolution of the captured image from 1080 × 1080 to 640 × 640.
Optionally, as shown in fig. 1, the artificial intelligence image processor 30 further comprises an image fusion module 340. Wherein the image fusion module 340 is communicatively connected with the image capturing device 10 and the target localization unit 322 and is configured to: and adding identification information at the position of the target image in the acquired image according to the first coordinate position information.
Specifically, the image fusion module 340 adds identification information to the position of the target image in the collected image according to the first coordinate position information, so that the position of the target image of the target object in the collected image can be displayed more clearly, and the collection personnel can conveniently check the position.
Optionally, the laser aiming system further comprises an image output interface 60 and an image display device 70, wherein the image output interface 60 is communicatively connected with the image display device 70 and the image fusion module 340, respectively.
Specifically, the image fusion module 340 sends the collected image added with the identification information to the image display device 70 through the image output interface 60, and displays the collected image added with the identification information through the image display device 70 in a high-definition manner, so that the staff can conveniently check the collected image.
Optionally, as shown in fig. 1, the laser sight system further includes an image input interface 20 and a control instruction output interface 40. Wherein the image acquisition device 10 is in communication connection with the artificial intelligence image processor 30 through the image input interface 20; and the artificial intelligence image processor 30 is in communication with the laser aiming device 50 through the control command output interface 40.
Specifically, the artificial intelligence image processor 30 receives the captured image captured by the image capturing apparatus 10 through the image input interface 20. The artificial intelligence image processor 30 sends control instructions to the control laser aiming device 50 through the control instruction output interface 40, thereby controlling the laser aiming device 50 to direct the laser light at the target object.
Optionally, as shown in fig. 1, the image capturing device 10 includes a thermal infrared image capturing device 110 and/or a visible light image capturing device 120, where the thermal infrared image capturing device 110 is configured to capture a thermal infrared captured image corresponding to a predetermined scene and send the thermal infrared captured image to the artificial intelligence image processor 30; and the visible light image capture device 120 is configured to capture a visible light capture image corresponding to the predetermined scene and send the visible light capture image to the artificial intelligence image processor 30.
Specifically, since the thermal infrared image collecting device 110 collects thermal infrared radiation image information (instead of visible light image information), the collected image suitable for detection by the artificial intelligent image processor 30 can be collected by the thermal infrared image collecting device 110 in a severe climate environment (for example, a climate environment where visibility is low such as rain, snow, cloudy day, and wind, which causes missing detection or false detection of artificial detection), so as to improve the detection accuracy of the laser sighting system. The visible light can be adopted by the visible light image acquisition device 120 to acquire images, and the resolution of the visible light acquired images is generally higher, so that the detection accuracy of the artificial intelligence image processor 30 on the target object can be improved. Therefore, the laser aiming system provided by the embodiment can not be disturbed by factors such as environment and the like, can carry out laser aiming monitoring on various scenes of various environments, and improves the adaptability of the laser aiming system to different environments.
Optionally, the laser aiming device 50 is a laser pan-tilt device or a laser galvanometer device.
Specifically, the laser aiming device 50 may be a laser pan-tilt device connected to the laser emitter, and the specific structure is not particularly limited. The laser holder device is in communication connection with the laser aiming control module 330, so that the laser aiming control module 330 can control the laser holder device to direct the laser emitted by the laser emitter to the target object according to the position information determined by the artificial intelligence processing module 320. Further, the laser sighting device 50 may also be a laser galvanometer device for reflecting laser light emitted by a laser transmitter. The laser galvanometer device is in communication connection with the laser aiming control module 330, so that the laser aiming control module 330 can control the laser galvanometer device to direct laser to a target object according to the position information determined by the artificial intelligence processing module 320. Due to the characteristics of high reaction speed and high aiming precision of the laser galvanometer, the efficiency and the precision of aiming the target object by the laser can be greatly improved.
The MEMS (micro electro Mechanical Systems ) galvanometer has a faster response speed, for example, a fast axis resonant frequency of the MEMS galvanometer can reach 31KHz, and a slow axis resonant frequency can reach 700 Hz. Preferably, therefore, the laser galvanometer device is a MEMS laser galvanometer device.
In addition, in the case that the laser aiming apparatus 50 is a laser galvanometer apparatus, the artificial intelligence processing module 320 may determine the position information corresponding to a plurality of target objects in the captured image, so that the laser aiming control module 330 may control the laser galvanometer apparatus to direct the laser to each target object simultaneously according to the position information corresponding to the plurality of target objects. Therefore, by the embodiment, a set of equipment can be used for simultaneously aiming and tracking a plurality of target objects, so that the efficiency of laser aiming is improved, and the cost is reduced.
A second aspect of the present embodiment provides an artificial intelligence image processor 30, and fig. 2 is a schematic structural diagram of the artificial intelligence image processor 30 according to an embodiment of the present application. As shown in fig. 2, the artificial intelligence image processor 30 includes an artificial intelligence processing module 320 and a laser aim control module 330. Wherein the artificial intelligence processing module 320 is configured to determine location information associated with a target object in a predetermined scene from a captured image corresponding to the predetermined scene; and the laser targeting control module 330 is configured to control the peripheral laser targeting device 50 to direct laser light at the target object based on the location information.
Optionally, the artificial intelligence processing module 320 comprises an object detection unit 321 and an object localization unit 322. The target detection unit 321 is configured to detect a target image corresponding to a target object in the captured image according to a preset artificial intelligence model; the target location unit 322 is configured to determine first coordinate position information of the target image in the captured image.
Optionally, the laser aiming control module 330 includes a coordinate conversion unit 331 and a laser aiming control unit 332. Wherein the coordinate conversion unit 331 is configured to receive the first coordinate position information from the target positioning unit 322 and determine second coordinate position information of the target object in the predetermined scene according to the first coordinate position information; and the laser targeting control unit 332 is configured to control the laser targeting device 50 to direct laser light at the target object based on the second coordinate position information.
Optionally, the artificial intelligence image processor 30 further comprises an image pre-processing module 310. The image preprocessing module 310 is communicatively connected to the artificial intelligence processing module 320, and is configured to receive the captured image and perform image preprocessing on the captured image so as to be suitable for the artificial intelligence processing module 320 to perform processing.
Optionally, the image pre-processing module 310 comprises an image resolution conversion unit 311 and an image enhancement unit 312. Wherein the image resolution converting unit 311 is configured to convert the resolution of the acquired image into a resolution matching the artificial intelligence processing module 320; and an image enhancement unit 312 for enhancing detail information in the captured image.
Optionally, the image resolution conversion unit 311 is configured to: performing an upsampling operation on the collected image under the condition that the resolution of the collected image is less than the resolution matched with the artificial intelligence processing module 320; and/or performing a down-sampling operation and/or a cropping operation on the acquired image in the event that the resolution of the acquired image is greater than the resolution matched to the artificial intelligence processing module 320.
Optionally, the artificial intelligence image processor 30 further comprises an image fusion module 340. Wherein the image fusion module 340 is communicatively connected to the target positioning unit 322 and configured to: and adding identification information at the position of the target image in the acquired image according to the first coordinate position information.
In the artificial intelligence image processor 30 provided in this embodiment, reference may be made to all relevant descriptions of the artificial intelligence image processor 30 mentioned in the above first aspect, and details are not repeated here.
The present embodiment determines the position information of the target object in the captured image by the artificial intelligence processing module 320 in the artificial intelligence image processor 30, and controls the laser pointing device 50 to direct the laser to the target object according to the position information by the laser pointing control module 330. Thus, the present embodiment controls the laser aiming apparatus 50 to direct laser light to a target object based on the captured image using the artificial intelligence image processor 30, so as to perform laser aiming instead of human. Therefore, the technical problem that missing detection or error detection is easy to occur when laser aiming is carried out through manpower in the prior art and the related problems that an automatic aiming system is easily interfered by a non-target object and the like are solved.
The relative arrangement of the components and steps, the numerical expressions, and numerical values set forth in these embodiments do not limit the scope of the present disclosure unless specifically stated otherwise. Meanwhile, it should be understood that the sizes of the respective portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description. Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate. In all examples shown and discussed herein, any particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.
Spatially relative terms, such as "above … …," "above … …," "above … …," "above," and the like, may be used herein for ease of description to describe one device or feature's spatial relationship to another device or feature as illustrated in the figures. It will be understood that the spatially relative terms are intended to encompass different orientations of the device in use or operation in addition to the orientation depicted in the figures. For example, if a device in the figures is turned over, devices described as "above" or "on" other devices or configurations would then be oriented "below" or "under" the other devices or configurations. Thus, the exemplary term "above … …" can include both an orientation of "above … …" and "below … …". The device may be otherwise variously oriented (rotated 90 degrees or at other orientations) and the spatially relative descriptors used herein interpreted accordingly.
In the description of the present disclosure, it is to be understood that the orientation or positional relationship indicated by the directional terms such as "front, rear, upper, lower, left, right", "lateral, vertical, horizontal" and "top, bottom", etc., are generally based on the orientation or positional relationship shown in the drawings, and are presented only for the convenience of describing and simplifying the disclosure, and in the absence of a contrary indication, these directional terms are not intended to indicate and imply that the device or element being referred to must have a particular orientation or be constructed and operated in a particular orientation, and therefore, should not be taken as limiting the scope of the disclosure; the terms "inner and outer" refer to the inner and outer relative to the profile of the respective component itself.
The above description is only for the preferred embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A laser targeting system comprising an image acquisition device (10), an artificial intelligence image processor (30) and a laser targeting device (50), wherein the artificial intelligence image processor (30) is communicatively connected to the image acquisition device (10) and the laser targeting device (50), respectively, and the artificial intelligence image processor (30) comprises an artificial intelligence processing module (320) and a laser targeting control module (330), and wherein
The artificial intelligence processing module (320) is configured to determine position information of a target object in a predetermined scene according to a collected image corresponding to the predetermined scene and collected by the image collecting device (10);
the laser aiming control module (330) is configured to control the laser aiming device (50) to direct laser light at the target object according to the position information.
2. The laser sight system of claim 1, characterized in that the artificial intelligence processing module (320) comprises a target detection unit (321) and a target positioning unit (322), wherein
The target detection unit (321) is configured to detect a target image corresponding to the target object in the acquired image according to a preset artificial intelligence model;
the target positioning unit (322) is configured to determine first coordinate position information of the target imagery in the captured image.
3. The laser targeting system according to claim 2, wherein the laser targeting control module (330) comprises a coordinate conversion unit (331) and a laser targeting control unit (332), wherein
The coordinate conversion unit (331) is configured to receive the first coordinate position information from the target positioning unit (322) and determine second coordinate position information of the target object in the predetermined scene according to the first coordinate position information; and
the laser aiming control unit (332) is configured for controlling the laser aiming device (50) to direct laser light at the target object in dependence of the second coordinate position information.
4. The laser sight system of claim 1, wherein the artificial intelligence image processor (30) further comprises an image pre-processing module (310), the image pre-processing module (310) being communicatively connected to the image acquisition device (10) and the artificial intelligence processing module (320), respectively, and being configured to receive the acquired images from the image acquisition device (10) and to image pre-process the acquired images so as to be suitable for processing by the artificial intelligence processing module (320).
5. The laser sight system of claim 4, characterized in that the image pre-processing module (310) comprises an image resolution conversion unit (311) and an image enhancement unit (312), wherein
The image resolution conversion unit (311) is configured to convert a resolution of the acquired image into a resolution matching the artificial intelligence processing module (320); and
the image enhancement unit (312) is configured for enhancing detail information in the acquired image.
6. The laser sighting system of claim 5, wherein the image resolution conversion unit (311) is configured for:
-in case the resolution of the acquired image is less than the resolution matching the artificial intelligence processing module (320), performing an up-sampling operation on the acquired image; and/or
-in case the resolution of the acquired image is greater than the resolution matching the artificial intelligence processing module (320), performing a down-sampling operation and/or a cropping operation on the acquired image.
7. The laser targeting system according to claim 2, wherein the artificial intelligence image processor (30) further comprises an image fusion module (340), wherein the image fusion module (340) is communicatively connected with the image acquisition device (10) and the target localization unit (322) and is configured for: and adding identification information at the position of the target image in the acquired image according to the first coordinate position information.
8. The laser sight system of claim 7, further comprising an image output interface (60) and an image display device (70), the image output interface (60) being communicatively connected with the image display device (70) and the image fusion module (340), respectively.
9. Laser sighting system according to claim 1, wherein the laser sighting device (50) is a laser pan-tilt device or a laser galvanometer device.
10. An artificial intelligence image processor (30) comprising an artificial intelligence processing module (320) and a laser aiming control module (330), wherein
The artificial intelligence processing module (320) is configured to determine position information of a target object in a predetermined scene according to a captured image corresponding to the predetermined scene; and
the laser aiming control module (330) is configured to control a peripheral laser aiming device (50) to direct laser light at the target object according to the position information.
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| CN202020657272.XU CN211956229U (en) | 2020-04-26 | 2020-04-26 | Laser aiming system and artificial intelligent image processor |
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| CN111427387A (en) * | 2020-04-26 | 2020-07-17 | 北京都是科技有限公司 | Laser aiming system, method and device and artificial intelligent image processor |
| CN118097891A (en) * | 2024-01-30 | 2024-05-28 | 昆明理工大学 | Swimming pool alarm and drowning detection method |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111427387A (en) * | 2020-04-26 | 2020-07-17 | 北京都是科技有限公司 | Laser aiming system, method and device and artificial intelligent image processor |
| CN118097891A (en) * | 2024-01-30 | 2024-05-28 | 昆明理工大学 | Swimming pool alarm and drowning detection method |
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