CN112461155A - Method for identifying object by ray tracing and electronic equipment - Google Patents
Method for identifying object by ray tracing and electronic equipment Download PDFInfo
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- CN112461155A CN112461155A CN202011204395.9A CN202011204395A CN112461155A CN 112461155 A CN112461155 A CN 112461155A CN 202011204395 A CN202011204395 A CN 202011204395A CN 112461155 A CN112461155 A CN 112461155A
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- signal
- ray tracing
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- dot matrix
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/24—Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators
- B66B5/0006—Monitoring devices or performance analysers
Abstract
The invention relates to the technical field of elevators, in particular to a method for identifying an object by ray tracing and an electronic device, which comprises the following steps: s1, acquiring the strength of an original signal acquired by each photoelectric sensor in the elevator light curtain; s2, attaching labels of the sensor and the LED corresponding to the signals to each obtained original signal; s3, sorting and arranging the signal values to obtain signal queues related to time, emission points and three coordinate axes; s4 virtualizing a four-dimensional space and labeling each sensor and a position-assumed sensor of the LED; s5, according to the intensity of each signal, blocking the intensity of the signal and drawing out each virtual light; s6, generating dense dot matrix, processing the dot matrix, collecting the dots in the dot matrix, and forming the outline of the object. The invention solves the defects of large data volume, complex operation, unattended operation, and the need of additional network and large-capacity hard disk in the traditional video identification method. The invention solves the privacy disclosure problem of elevator use.
Description
Technical Field
The invention relates to the technical field of elevators, in particular to a method for identifying an object by ray tracing and electronic equipment.
Background
At present, the problem of safe use of elevators is more and more important, the improper use of elevators, including the entrance of a battery car into the elevator, the entrance of oversized articles into the elevator can cause serious potential safety hazards, and in addition, people flow monitoring and the like also provide very valuable data for other related applications.
However, the practical monitoring operation of the elevator is not simple, the cost is high, the accuracy is low, the monitoring is mainly processed by a method of installing a camera at present, an additional central control room and professional personnel are needed in the method, and the response rapidity to the emergency occurrence processing of the event is poor.
Furthermore, the monitoring device generates a large amount of data, which needs to be backed up and is not conducive to integration because of the large amount of data.
Disclosure of Invention
The invention discloses a method for identifying an object by ray tracing and an electronic device, aiming at providing a simple and feasible method, which can acquire the approximate outline of the object from an elevator light curtain and can identify the object based on the outline by using various other methods after the outline of goods so as to solve the problem of difficult object identification in related applications such as elevator safety and the like.
The invention is realized by the following technical scheme:
in a first aspect, the present invention discloses a method for identifying an object by ray tracing, comprising the steps of:
s1, acquiring the strength of an original signal acquired by each photoelectric sensor in the elevator light curtain;
s2, attaching labels of the sensor and the LED corresponding to the signals to each obtained original signal;
s3, sorting and arranging the signal values in S2 to obtain signal queues related to the time, the emission point and three coordinate axes;
s4 virtualizing a four-dimensional space and labeling each sensor and a position-assumed sensor of the LED;
s5, according to the intensity of each signal, blocking the intensity of the signal and drawing out each virtual light;
s6, generating dense dot matrix, processing the dot matrix, collecting the dots in the dot matrix, and forming the outline of the object.
Further, the four axes of the four-dimensional space cover four axes of the collected signal, respectively.
Further, the dense lattice generated in S6 fills the entire four-dimensional space.
Further, in the dense lattice, each ray intersects several points, assuming the diameter of each ray and the size of the point.
Furthermore, in the dense lattice, for intersecting intersections, if the signal value of the corresponding ray is strong, the intersections are deleted in the space.
In a second aspect, the contours of the object obtained by the method of the invention are used for subsequent object recognition.
In a second aspect, the present invention discloses an electronic device, which includes a processor and a memory storing execution instructions, wherein when the processor executes the execution instructions stored in the memory, the processor performs the method for identifying an object by ray tracing according to the first aspect.
The invention has the beneficial effects that:
1. the invention solves the defects of large data volume, complex operation, unattended operation, and the need of additional network and large-capacity hard disk in the traditional video identification method.
2. The invention uses the data of the elevator light curtain, does not need to install equipment such as a camera and the like, does not identify unnecessary biological characteristics such as human faces and the like, and can not restore the original information by any person and group, thereby solving the privacy leakage problem of elevator use.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic step diagram of a method for identifying an object by ray tracing.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
The embodiment discloses a method for identifying an object by ray tracing as shown in fig. 1, which comprises the following steps:
s1, acquiring the strength of an original signal acquired by each photoelectric sensor in the elevator light curtain;
s2, attaching labels of the sensor and the LED corresponding to the signals to each obtained original signal;
s3, sorting and arranging the signal values in S2 to obtain signal queues related to the time, the emission point and three coordinate axes;
s4 virtualizing a four-dimensional space and labeling each sensor and a position-assumed sensor of the LED;
s5, according to the intensity of each signal, blocking the intensity of the signal and drawing out each virtual light;
s6, generating dense dot matrix, processing the dot matrix, collecting the dots in the dot matrix, and forming the outline of the object.
The embodiment provides a method for generating an object outline so as to solve the difficulty of object identification in related applications such as elevator safety.
The embodiment overcomes the defects of large data volume, complex operation, unattended operation, and need of additional network and large-capacity hard disk in the traditional video identification method.
Example 2
The embodiment discloses a method for processing collected raw data and collected information. The method comprises the steps of obtaining the strength of original signals obtained by each photoelectric sensor in an elevator light curtain, obtaining each original signal, attaching a label, arranging and arranging signal values to obtain signal queues related to time, emission points and three coordinate axes, wherein the signal queues correspond to the sensors and the LEDs corresponding to the signals.
In a computer (or other electronic equipment), a four-dimensional space can be virtualized, and four axes of the space respectively cover four axes of the collected signals; in a four-dimensional space, marking each sensor and a position assumed sensor of the LED; in the four-dimensional space, each virtual light can be drawn out according to the strength of each signal, mainly the strength of the shielding signal, so that a dense dot matrix can be generated, and the dense dot matrix is filled in the whole four-dimensional space.
Assuming the diameter of each ray and the size of the point, each ray will intersect several points. For intersecting intersections, if the signal value of the corresponding ray is strong, the intersections are deleted in space. These points are collected and are the contours of the object. Can be used for subsequent object identification.
The embodiment uses the data of the elevator light curtain, thereby needing no equipment such as a camera and the like
The embodiment solves the privacy disclosure problem of elevator use, unnecessary biological characteristics such as human faces are not recognized, and original information cannot be restored by any individual and group.
Example 3
The embodiment discloses an electronic device, which comprises a processor and a memory, wherein the memory stores execution instructions, and when the processor executes the execution instructions stored in the memory, the processor executes a method for identifying an object through ray tracing.
In conclusion, the video identification method overcomes the defects of large data volume, complex operation, unattended operation and need of additional network and large-capacity hard disk in the traditional video identification method.
The invention uses the data of the elevator light curtain, does not need to install equipment such as a camera and the like, does not identify unnecessary biological characteristics such as human faces and the like, and can not restore the original information by any person and group, thereby solving the privacy leakage problem of elevator use.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (7)
1. A method for ray tracing identification of an object, the method comprising the steps of:
s1, acquiring the strength of an original signal acquired by each photoelectric sensor in the elevator light curtain;
s2, attaching labels of the sensor and the LED corresponding to the signals to each obtained original signal;
s3, sorting and arranging the signal values in S2 to obtain signal queues related to the time, the emission point and three coordinate axes;
s4 virtualizing a four-dimensional space and labeling each sensor and a position-assumed sensor of the LED;
s5, according to the intensity of each signal, blocking the intensity of the signal and drawing out each virtual light;
s6, generating dense dot matrix, processing the dot matrix, collecting the dots in the dot matrix, and forming the outline of the object.
2. The method of ray tracing an identified object as recited in claim 1, wherein four axes of the four-dimensional space respectively cover four axes of the collected signal.
3. The method for ray tracing identifying an object as claimed in claim 1, wherein said generating a dense lattice in S6 fills the entire four-dimensional space.
4. The method of ray tracing identifying objects of claim 3, wherein in said dense lattice, each ray intersects a number of points, assuming the diameter of each ray and the size of the points.
5. The method of ray tracing an identified object as claimed in claim 4, wherein for intersecting intersections in said dense lattice, if the signal values of the corresponding rays are strong, the intersections are deleted from the space.
6. A method for ray tracing identification of objects as claimed in claims 1 to 5, wherein the contours of the objects obtained by the method are used for subsequent object identification.
7. An electronic device comprising a processor and a memory storing execution instructions, the processor performing the method of ray tracing an identification object as recited in any of claims 1 to 5 when the processor executes the execution instructions stored in the memory.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202011204395.9A CN112461155A (en) | 2020-11-02 | 2020-11-02 | Method for identifying object by ray tracing and electronic equipment |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202011204395.9A CN112461155A (en) | 2020-11-02 | 2020-11-02 | Method for identifying object by ray tracing and electronic equipment |
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2012134482A1 (en) * | 2011-03-31 | 2012-10-04 | Otis Elevator Company | Optics based sensor device |
| CN103217127A (en) * | 2013-05-03 | 2013-07-24 | 郑州恒科实业有限公司 | Infrared light curtain machine for contour recognition and article contour recognition system and method thereof |
| CN104340803A (en) * | 2014-10-23 | 2015-02-11 | 重庆市特种设备检测研究院 | Elevator space overload detection device and method based on infrared dot matrix detection |
| CN106477438A (en) * | 2016-08-30 | 2017-03-08 | 住友富士电梯有限公司 | Localization method blocked based on elevator intelligent infrared light curtain |
| CN107337044A (en) * | 2017-08-07 | 2017-11-10 | 广州日滨科技发展有限公司 | The detection method and system of elevator components failure |
| CN111762649A (en) * | 2020-07-14 | 2020-10-13 | 猫岐智能科技（上海）有限公司 | Elevator article detection system and method, article detection system, elevator light curtain and elevator equipment |
| CN111829564A (en) * | 2020-06-03 | 2020-10-27 | 佳格科技(浙江)股份有限公司 | Light curtain detection method and device without special synchronization line |
-
2020
- 2020-11-02 CN CN202011204395.9A patent/CN112461155A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2012134482A1 (en) * | 2011-03-31 | 2012-10-04 | Otis Elevator Company | Optics based sensor device |
| CN103217127A (en) * | 2013-05-03 | 2013-07-24 | 郑州恒科实业有限公司 | Infrared light curtain machine for contour recognition and article contour recognition system and method thereof |
| CN104340803A (en) * | 2014-10-23 | 2015-02-11 | 重庆市特种设备检测研究院 | Elevator space overload detection device and method based on infrared dot matrix detection |
| CN106477438A (en) * | 2016-08-30 | 2017-03-08 | 住友富士电梯有限公司 | Localization method blocked based on elevator intelligent infrared light curtain |
| CN107337044A (en) * | 2017-08-07 | 2017-11-10 | 广州日滨科技发展有限公司 | The detection method and system of elevator components failure |
| CN111829564A (en) * | 2020-06-03 | 2020-10-27 | 佳格科技(浙江)股份有限公司 | Light curtain detection method and device without special synchronization line |
| CN111762649A (en) * | 2020-07-14 | 2020-10-13 | 猫岐智能科技（上海）有限公司 | Elevator article detection system and method, article detection system, elevator light curtain and elevator equipment |
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