CN110929554A - Real-time object identification monitoring method and storage medium - Google Patents
Real-time object identification monitoring method and storage medium Download PDFInfo
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- CN110929554A CN110929554A CN201910066375.0A CN201910066375A CN110929554A CN 110929554 A CN110929554 A CN 110929554A CN 201910066375 A CN201910066375 A CN 201910066375A CN 110929554 A CN110929554 A CN 110929554A
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Abstract
The invention relates to a real-time object identification monitoring method, which comprises the step of using a real-time object identification monitoring platform to execute bed body identification operation on a position in an outpatient building corridor when snore is overhigh. The real-time object identification monitoring method and the storage medium are convenient to monitor and simple to operate. Because when the snore was too high in outpatient service building corridor position, the execution was right the bed body discernment operation of position to adopt automatic mode effectively to maintain outpatient service building corridor order, thereby can effectively maintain outpatient service building's corridor order under the condition that reduces the human cost.
Description
Technical Field
The invention relates to the field of scene monitoring, in particular to a real-time object identification monitoring method and a storage medium.
Background
Monitoring does not refer to a closed circuit television monitoring system, but the monitoring system in the traditional sense comprises a front-end camera (comprising a dome camera, an infrared camera, an all-in-one machine and the like), a middle-end device (an optical terminal, a network video server and the like) and a rear-end device host (a hard disk video recorder, an IP-SAN, a matrix and the like).
The general monitoring system mainly comprises a control part front end part: the camera, camera lens, infrared lamp, cloud platform, intelligent spherical camera, support etc.. A transmission part: video lines, power lines, control lines, etc. Terminal portion: video distributor, monitor, display, large screen splicing television wall, hard disk video recorder, matrix host computer, etc.
Disclosure of Invention
According to an aspect of the present invention, there is provided a real-time object recognition monitoring method, the method comprising using a real-time object recognition monitoring platform to perform a bed recognition operation on an outpatient corridor location when snoring in the location is too high, the real-time object recognition monitoring platform comprising:
the snore detecting equipment is arranged at the position of the outpatient building corridor and used for extracting the snore signal of the sound at the position of the outpatient building corridor so as to determine the corresponding snore grade based on the maximum amplitude of the snore signal;
the camera shooting triggering device is respectively connected with the snore detecting device and the corridor camera shooting device and is used for triggering the corridor camera shooting device to shoot the corridor position of the clinic building to obtain a corridor field image when the received snore level is greater than or equal to a preset level threshold value;
the bed body analysis equipment is used for extracting a bed body target from the received corridor field image based on the appearance of the reference bed body, so that an illegal reminding signal is sent out when the extraction is successful, and an illegal reminding signal is sent out when the extraction is failed;
the audio playing device is arranged in a corridor of an outpatient building, is connected with the bed body analysis device and is used for playing a voice warning file corresponding to the violation reminding signal when receiving the violation reminding signal;
the pressure acquisition equipment comprises a plurality of pressure acquisition units which are respectively connected with the snore detection equipment, the camera shooting trigger equipment and the currently unused suspension pins of the bed body analysis equipment so as to acquire the current pressure of the currently unused suspension pins of the snore detection equipment, the current pressure of the currently unused suspension pins of the camera shooting trigger equipment and the current pressure of the currently unused suspension pins of the bed body analysis equipment;
the PAL processing device is connected with the pressure acquisition equipment and is used for receiving the current pressure of the current unused suspension pin of the snore detection equipment, the current pressure of the current unused suspension pin of the camera trigger equipment and the current pressure of the current unused suspension pin of the bed body analysis equipment, and performing weighted mean operation on the current pressure of the current unused suspension pin of the snore detection equipment, the current pressure of the current unused suspension pin of the camera trigger equipment and the current pressure of the current unused suspension pin of the bed body analysis equipment to obtain reference pin pressure;
the CF storage chip is used for pre-storing three weight values of the current pressure of the current unused suspension pin of the snore detecting equipment, the current pressure of the current unused suspension pin of the camera shooting triggering equipment and the current pressure of the current unused suspension pin of the bed body analyzing equipment which respectively participate in weighted mean value operation;
the audio playing device is also connected with the PAL processing device and is used for receiving the silicon wafer entity pressure and carrying out corresponding audio signal playing action when the silicon wafer entity pressure is not within a preset pressure range;
the signal splitting device is connected with the corridor camera shooting device and used for carrying out noise type analysis on the corridor field image so as to acquire the number of noise types in the corridor field image and averagely dividing the corridor field image based on the number of the noise types so as to obtain sub-images with the same size;
a positioning processing device connected to the signal splitting device for receiving the respective sub-images of the same size, taking the centroid of the corridor field image as the starting point of an archimedean curve to draw the archimedean curve in the corridor field image, and taking one or more sub-images that intersect the archimedean curve as respective reference sub-images;
the parameter analysis equipment is connected with the positioning processing equipment and used for receiving the reference sub-images, determining the reciprocal of the entropy value of the reference sub-images based on the pixel values of the pixel points of each reference sub-image, and taking the reciprocal of the entropy value with the most frequent occurrence frequency in the reciprocal of the entropy value of each reference sub-image as the reciprocal of the reference entropy value to output the reciprocal of the reference entropy value;
the hue enhancement device is respectively connected with the signal cracking device and the parameter analysis device and is used for receiving the reciprocal of the reference entropy value and executing hue enhancement processing on the corridor field image when the reciprocal of the reference entropy value is greater than or equal to a preset reciprocal of entropy value so as to obtain and output a corresponding hue enhancement image;
and the homomorphic filtering equipment is respectively connected with the bed body analysis equipment and the tone enhancement equipment and is used for executing homomorphic filtering processing on the tone enhancement image so as to obtain a corresponding homomorphic filtering image and replacing the corridor field image with the homomorphic filtering image and sending the homomorphic filtering image to the bed body analysis equipment.
According to another aspect of the present invention, there is also provided a computer readable storage medium having stored thereon a computer program which, when executed, performs the steps of the real-time object recognition monitoring method as described above.
The invention needs to have the following two key points:
(1) when the snore is too high in the position of the outpatient building corridor, the bed body recognition operation of the position is executed, so that the order of the outpatient building corridor is effectively maintained by adopting an automatic mode;
(2) the method comprises the steps of carrying out weighted average processing on all parameters of the current unused suspension pins of the detected device and one or more devices related to the detected device, and introducing a weighing mechanism to carry out weighing operation on processing results so as to obtain silicon wafer physical stress of valuable devices.
The real-time object identification monitoring method and the storage medium are convenient to monitor and simple to operate. Because when the snore was too high in outpatient service building corridor position, the execution was right the bed body discernment operation of position to adopt automatic mode effectively to maintain outpatient service building corridor order, thereby can effectively maintain outpatient service building's corridor order under the condition that reduces the human cost.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a schematic view of a monitored object shape of a real-time object recognition monitoring platform according to an embodiment of the present invention.
Detailed Description
Embodiments of the real-time object recognition monitoring method and the storage medium of the present invention will be described in detail below with reference to the accompanying drawings.
The outpatient service usually receives a patient with a light disease table, obtains a preliminary diagnosis for the patient through a whole set of diagnosis means and auxiliary examination of an outpatient doctor, and the outpatient doctor can treat the patient in case of symptomatic treatment, and if the outpatient doctor has a question about the disease condition of the patient or diagnoses the disease condition as being serious and urgent, the outpatient service collects the patient into an inpatient ward and carries out further examination or operation or related treatment and other medical measures in a hospital.
At present, in an outpatient building with a night mode, due to the fact that night environment monitoring personnel patrol less frequently, family members of a patient in front of a clinic are prone to fatigue, a certain bed rest or on-site rest phenomenon can occur in a corridor of the outpatient building, the corridor of the outpatient building is trapped in a disordered state, and once a fire or too many people happen, a large safety accident can easily occur.
In order to overcome the defects, the invention builds a real-time object identification monitoring method, the method comprises the step of using a real-time object identification monitoring platform to execute bed body identification operation on the position when the snore is too high in the corridor position of an outpatient service building, and the real-time object identification monitoring platform can effectively solve the corresponding technical problem.
Fig. 1 is a schematic view of a monitored object shape of a real-time object recognition monitoring platform according to an embodiment of the present invention.
The real-time object recognition monitoring platform shown according to the embodiment of the invention comprises:
the snore detecting equipment is arranged at the position of the outpatient building corridor and used for extracting the snore signal of the sound at the position of the outpatient building corridor so as to determine the corresponding snore grade based on the maximum amplitude of the snore signal;
the camera shooting triggering device is respectively connected with the snore detecting device and the corridor camera shooting device and is used for triggering the corridor camera shooting device to shoot the corridor position of the clinic building to obtain a corridor field image when the received snore level is greater than or equal to a preset level threshold value;
the bed body analysis equipment is used for extracting a bed body target from the received corridor field image based on the appearance of the reference bed body, so that an illegal reminding signal is sent out when the extraction is successful, and an illegal reminding signal is sent out when the extraction is failed;
the audio playing device is arranged in a corridor of an outpatient building, is connected with the bed body analysis device and is used for playing a voice warning file corresponding to the violation reminding signal when receiving the violation reminding signal;
the pressure acquisition equipment comprises a plurality of pressure acquisition units which are respectively connected with the snore detection equipment, the camera shooting trigger equipment and the currently unused suspension pins of the bed body analysis equipment so as to acquire the current pressure of the currently unused suspension pins of the snore detection equipment, the current pressure of the currently unused suspension pins of the camera shooting trigger equipment and the current pressure of the currently unused suspension pins of the bed body analysis equipment;
the PAL processing device is connected with the pressure acquisition equipment and is used for receiving the current pressure of the current unused suspension pin of the snore detection equipment, the current pressure of the current unused suspension pin of the camera trigger equipment and the current pressure of the current unused suspension pin of the bed body analysis equipment, and performing weighted mean operation on the current pressure of the current unused suspension pin of the snore detection equipment, the current pressure of the current unused suspension pin of the camera trigger equipment and the current pressure of the current unused suspension pin of the bed body analysis equipment to obtain reference pin pressure;
the CF storage chip is used for pre-storing three weight values of the current pressure of the current unused suspension pin of the snore detecting equipment, the current pressure of the current unused suspension pin of the camera shooting triggering equipment and the current pressure of the current unused suspension pin of the bed body analyzing equipment which respectively participate in weighted mean value operation;
the audio playing device is also connected with the PAL processing device and is used for receiving the silicon wafer entity pressure and carrying out corresponding audio signal playing action when the silicon wafer entity pressure is not within a preset pressure range;
the signal splitting device is connected with the corridor camera shooting device and used for carrying out noise type analysis on the corridor field image so as to acquire the number of noise types in the corridor field image and averagely dividing the corridor field image based on the number of the noise types so as to obtain sub-images with the same size;
a positioning processing device connected to the signal splitting device for receiving the respective sub-images of the same size, taking the centroid of the corridor field image as the starting point of an archimedean curve to draw the archimedean curve in the corridor field image, and taking one or more sub-images that intersect the archimedean curve as respective reference sub-images;
the parameter analysis equipment is connected with the positioning processing equipment and used for receiving the reference sub-images, determining the reciprocal of the entropy value of the reference sub-images based on the pixel values of the pixel points of each reference sub-image, and taking the reciprocal of the entropy value with the most frequent occurrence frequency in the reciprocal of the entropy value of each reference sub-image as the reciprocal of the reference entropy value to output the reciprocal of the reference entropy value;
the hue enhancement device is respectively connected with the signal cracking device and the parameter analysis device and is used for receiving the reciprocal of the reference entropy value and executing hue enhancement processing on the corridor field image when the reciprocal of the reference entropy value is greater than or equal to a preset reciprocal of entropy value so as to obtain and output a corresponding hue enhancement image;
the homomorphic filtering equipment is respectively connected with the bed body analysis equipment and the tone enhancement equipment and is used for executing homomorphic filtering processing on the tone enhancement image so as to obtain a corresponding homomorphic filtering image and sending the homomorphic filtering image to the bed body analysis equipment in place of the corridor field image;
wherein, in the snore detecting device, determining the corresponding snore level based on the maximum amplitude of the snore signal comprises: the larger the maximum amplitude of the snore signal, the higher the determined snore level.
Next, the detailed structure of the real-time object recognition monitoring platform of the present invention will be further described.
In the real-time object recognition monitoring platform:
the audio playing device comprises a parameter matching unit and an audio player, wherein the parameter matching unit is connected with the audio player.
In the real-time object recognition monitoring platform:
the PAL processing device is further configured to multiply the obtained reference pin pressure by a trade-off factor to obtain a silicon wafer physical pressure of the snore detecting device.
In the real-time object recognition monitoring platform:
in the CF memory chip, three weight values, in which the current pressure of the currently unused suspension pin of the snore detecting device, the current pressure of the currently unused suspension pin of the camera trigger device, and the current pressure of the currently unused suspension pin of the bed body resolving device participate in the weighted mean calculation, are different in size.
In the real-time object recognition monitoring platform:
the CF memory chip is connected with the PAL processing device and is used for storing the balance factor in advance.
In the real-time object recognition monitoring platform:
and the tone enhancement device is also used for sending the corridor field image as a tone enhancement image to the homomorphic filtering device when the reference entropy is smaller than the preset entropy.
In the real-time object recognition monitoring platform:
the tone enhancement device comprises an entropy value reciprocal receiving unit, an enhancement processing unit and an image output unit, wherein the enhancement processing unit is respectively connected with the entropy value reciprocal receiving unit and the image output unit.
In the real-time object recognition monitoring platform:
in the signal splitting apparatus, the smaller the number of noise types, the larger the individual sub-images obtained by performing the average segmentation of the corridor live image.
Meanwhile, in order to overcome the above disadvantages, the present invention further provides a computer readable storage medium, wherein a computer program is stored on the readable storage medium, and when the computer program is executed, the computer program implements the steps of the real-time object identification monitoring method.
In addition, Programmable Array Logic (PAL) devices are first introduced by MMI, and are widely used due to the variety of output structures and flexible design. The basic structure of a PAL device feeds a programmable and array output product term to an or array, and the logic expression implemented by the PAL device has the form of a sum of products, and thus can describe any boolean transfer function. PAL devices are built internally of five basic types: (1) a basic array structure; (2) a programmable I/O structure; (3) a register output structure with feedback; (4) an exclusive or structure: (5) an arithmetic functional structure.
Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: Read-Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disk, and other various media capable of storing program codes.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (9)
1. A real-time object recognition monitoring method, the method comprising using a real-time object recognition monitoring platform to perform a bed recognition operation on an outpatient corridor location when snoring in the location is too high, the real-time object recognition monitoring platform comprising:
the snore detecting equipment is arranged at the position of the outpatient building corridor and used for extracting the snore signal of the sound at the position of the outpatient building corridor so as to determine the corresponding snore grade based on the maximum amplitude of the snore signal;
the camera shooting triggering device is respectively connected with the snore detecting device and the corridor camera shooting device and is used for triggering the corridor camera shooting device to shoot the corridor position of the clinic building to obtain a corridor field image when the received snore level is greater than or equal to a preset level threshold value;
the bed body analysis equipment is used for extracting a bed body target from the received corridor field image based on the appearance of the reference bed body, so that an illegal reminding signal is sent out when the extraction is successful, and an illegal reminding signal is sent out when the extraction is failed;
the audio playing device is arranged in a corridor of an outpatient building, is connected with the bed body analysis device and is used for playing a voice warning file corresponding to the violation reminding signal when receiving the violation reminding signal;
the pressure acquisition equipment comprises a plurality of pressure acquisition units which are respectively connected with the snore detection equipment, the camera shooting trigger equipment and the currently unused suspension pins of the bed body analysis equipment so as to acquire the current pressure of the currently unused suspension pins of the snore detection equipment, the current pressure of the currently unused suspension pins of the camera shooting trigger equipment and the current pressure of the currently unused suspension pins of the bed body analysis equipment;
the PAL processing device is connected with the pressure acquisition equipment and is used for receiving the current pressure of the current unused suspension pin of the snore detection equipment, the current pressure of the current unused suspension pin of the camera trigger equipment and the current pressure of the current unused suspension pin of the bed body analysis equipment, and performing weighted mean operation on the current pressure of the current unused suspension pin of the snore detection equipment, the current pressure of the current unused suspension pin of the camera trigger equipment and the current pressure of the current unused suspension pin of the bed body analysis equipment to obtain reference pin pressure;
the CF storage chip is used for pre-storing three weight values of the current pressure of the current unused suspension pin of the snore detecting equipment, the current pressure of the current unused suspension pin of the camera shooting triggering equipment and the current pressure of the current unused suspension pin of the bed body analyzing equipment which respectively participate in weighted mean value operation;
the audio playing device is also connected with the PAL processing device and is used for receiving the silicon wafer entity pressure and carrying out corresponding audio signal playing action when the silicon wafer entity pressure is not within a preset pressure range;
the signal splitting device is connected with the corridor camera shooting device and used for carrying out noise type analysis on the corridor field image so as to acquire the number of noise types in the corridor field image and averagely dividing the corridor field image based on the number of the noise types so as to obtain sub-images with the same size;
a positioning processing device connected to the signal splitting device for receiving the respective sub-images of the same size, taking the centroid of the corridor field image as the starting point of an archimedean curve to draw the archimedean curve in the corridor field image, and taking one or more sub-images that intersect the archimedean curve as respective reference sub-images;
the parameter analysis equipment is connected with the positioning processing equipment and used for receiving the reference sub-images, determining the reciprocal of the entropy value of the reference sub-images based on the pixel values of the pixel points of each reference sub-image, and taking the reciprocal of the entropy value with the most frequent occurrence frequency in the reciprocal of the entropy value of each reference sub-image as the reciprocal of the reference entropy value to output the reciprocal of the reference entropy value;
the hue enhancement device is respectively connected with the signal cracking device and the parameter analysis device and is used for receiving the reciprocal of the reference entropy value and executing hue enhancement processing on the corridor field image when the reciprocal of the reference entropy value is greater than or equal to a preset reciprocal of entropy value so as to obtain and output a corresponding hue enhancement image;
the homomorphic filtering equipment is respectively connected with the bed body analysis equipment and the tone enhancement equipment and is used for executing homomorphic filtering processing on the tone enhancement image so as to obtain a corresponding homomorphic filtering image and sending the homomorphic filtering image to the bed body analysis equipment in place of the corridor field image;
wherein, in the snore detecting device, determining the corresponding snore level based on the maximum amplitude of the snore signal comprises: the larger the maximum amplitude of the snore signal, the higher the determined snore level.
2. The method of claim 1, wherein:
the audio playing device comprises a parameter matching unit and an audio player, wherein the parameter matching unit is connected with the audio player.
3. The method of claim 2, wherein:
the PAL processing device is further configured to multiply the obtained reference pin pressure by a trade-off factor to obtain a silicon wafer physical pressure of the snore detecting device.
4. The method of claim 3, wherein:
in the CF memory chip, three weight values, in which the current pressure of the currently unused suspension pin of the snore detecting device, the current pressure of the currently unused suspension pin of the camera trigger device, and the current pressure of the currently unused suspension pin of the bed body resolving device participate in the weighted mean calculation, are different in size.
5. The method of claim 4, wherein:
the CF memory chip is connected with the PAL processing device and is used for storing the balance factor in advance.
6. The method of claim 5, wherein:
and the tone enhancement device is also used for sending the corridor field image as a tone enhancement image to the homomorphic filtering device when the reference entropy is smaller than the preset entropy.
7. The method of claim 6, wherein:
the tone enhancement device comprises an entropy value reciprocal receiving unit, an enhancement processing unit and an image output unit, wherein the enhancement processing unit is respectively connected with the entropy value reciprocal receiving unit and the image output unit.
8. The method of claim 7, wherein:
in the signal splitting apparatus, the smaller the number of noise types, the larger the individual sub-images obtained by performing the average segmentation of the corridor live image.
9. A computer-readable storage medium, having stored thereon a computer program which, when executed, performs the steps of the method of claim 8.
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Application publication date: 20200327 |