CN111179533B - Target identification system based on shape analysis - Google Patents
Target identification system based on shape analysis Download PDFInfo
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- CN111179533B CN111179533B CN202010032625.1A CN202010032625A CN111179533B CN 111179533 B CN111179533 B CN 111179533B CN 202010032625 A CN202010032625 A CN 202010032625A CN 111179533 B CN111179533 B CN 111179533B
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
- G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
- G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
- G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01M—CATCHING, TRAPPING OR SCARING OF ANIMALS; APPARATUS FOR THE DESTRUCTION OF NOXIOUS ANIMALS OR NOXIOUS PLANTS
- A01M29/00—Scaring or repelling devices, e.g. bird-scaring apparatus
- A01M29/12—Scaring or repelling devices, e.g. bird-scaring apparatus using odoriferous substances, e.g. aromas, pheromones or chemical agents
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/13—Edge detection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
- G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
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- Computer Vision & Pattern Recognition (AREA)
- Pest Control & Pesticides (AREA)
- Toxicology (AREA)
- General Health & Medical Sciences (AREA)
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Abstract
The invention relates to a target identification system based on shape analysis, which comprises: the contour analysis device is used for searching an image area with the matching degree exceeding the standard snake body contour in the received image; the quantity identification equipment is used for receiving each searched image area and outputting the image area occupying the largest number of pixel points as a representative area; and the field snake-expelling mechanism comprises a medicine spray head and field alarm equipment, wherein the medicine spray head is used for executing a snake-expelling medicine spraying operation on a building channel when the area proportion of the received representative area occupying the image is greater than a preset proportion threshold value. The target identification system based on the shape analysis has reliable logic and wide application. The intelligent level of building management is enhanced because the corresponding alarm action of the snake-expelling action is executed when the snake body near the building passage is detected.
Description
Technical Field
The invention relates to the field of building management, in particular to a target identification system based on appearance analysis.
Background
Buildings are a general term for buildings and structures. The artificial environment is created by people by using the grasped substance technical means and applying certain scientific laws, geomantic omen and aesthetic rules in order to meet the needs of social life. Some categories distinguish buildings from non-architectural structures that people do not occupy for a long time in order to clearly express usability, and some architects also intend to subdivide buildings created with people conscious appearance into "buildings" (Architecture) in order to avoid confusion. It should be noted that sometimes buildings may also be extended to include "non-building structures" such as bridges, towers, tunnels, etc.
Buildings have both broad and narrow meanings. Building in the broad sense means everything that is constructed artificially, including both houses and structures. The building in the narrow sense means a house, and does not include a structure. The house is a space place which is provided with a foundation, a wall, a roof, a door and a window and can shield wind and rain, and people can live in, work, study, entertainment, store articles or perform other activities. Building related specialties are generally defined by the meaning of buildings in a narrow sense.
Disclosure of Invention
In order to solve the technical problems in the related field, the invention provides a target identification system based on shape analysis, which can judge whether a snake body target exists near a building channel on the basis of high-precision visual detection and further determine whether to execute corresponding snake driving operation and alarm operation, so that the labor input of field management personnel is reduced as much as possible.
Therefore, the present invention needs to have at least two important points:
(1) searching an image area with the matching degree exceeding the standard snake body outline in a site image after the targeted processing, taking the image area occupying the most pixel points as a representative area, and judging that a snake body target exists near a building channel when the area proportion of the representative area occupying the rendering processing image is larger than a preset proportion threshold value;
(2) and introducing a field snake-driving mechanism comprising a medicine spray head and field alarm equipment, and performing corresponding snake-driving operation and alarm operation on the building passage when judging that a snake object exists nearby the building passage.
According to an aspect of the present invention, there is provided a shape-analysis-based target identification system, the system comprising:
the FLASH FLASH memory is positioned near the spherical camera equipment and used for storing a reference snake body outline and a preset proportion threshold value, wherein the reference snake body outline is one or more snake body imaging patterns;
the spherical camera shooting device is arranged above the building channel and used for executing camera shooting operation on the environment near the channel so as to obtain a corresponding current channel image;
the interpolation processing equipment is connected with the spherical camera equipment and used for receiving the current channel image and executing interpolation processing on the current channel image to obtain a corresponding interpolation processing image;
the rendering processing device is connected with the interpolation processing device and used for performing rendering processing on the received interpolation processing image so as to obtain and output a corresponding rendering processing image;
the appearance analysis device is connected with the rendering processing device and used for receiving the rendering processing image and searching an image area with the matching degree exceeding the standard snake body outline in the rendering processing image;
the quantity identification device is connected with the appearance analysis device and used for receiving each image area searched by the appearance analysis device and outputting the image area occupying the largest number of pixel points as a representative area;
the on-site snake-expelling mechanism comprises a medicine spray head and on-site alarm equipment, wherein the medicine spray head is connected with the quantity identification equipment and is used for executing snake-expelling medicine spraying operation on a building channel when the area proportion of the received representative area occupying the rendering processing image is greater than a preset proportion threshold value;
the field alarm equipment is connected with the quantity identification equipment and is used for executing a buzzing alarm operation when the area proportion of the received representative area occupying the rendering processing image is larger than a preset proportion threshold value;
wherein the shape analyzing device, the quantity identifying device and the field snake driving mechanism are all arranged above the building passageway.
The target identification system based on the shape analysis has reliable logic and wide application. The intelligent level of building management is enhanced because the corresponding alarm action of the snake-expelling action is executed when the snake body near the building passage is detected.
Detailed Description
Embodiments of the contour analysis based object recognition system of the present invention will be described in detail below.
The intelligent control is based on the subjects of control theory, computer science, artificial intelligence, operation research and the like, relevant theories and technologies are expanded, wherein the theories of fuzzy logic, neural networks, expert systems, genetic algorithms and the like, and the technologies of self-adaptive control, self-organization control, self-learning control and the like are applied.
An expert system is a control system that uses expert knowledge to describe specific or difficult problems. Although expert systems have achieved relatively successful application in addressing sophisticated advanced reasoning, the practical application of expert systems is relatively rare.
Fuzzy logic describes the system in a fuzzy language, and can describe a quantitative model of the application system and a qualitative model of the application system. Fuzzy logic is applicable to arbitrarily complex object control.
The genetic algorithm is used as a non-deterministic nature-simulated random optimization tool, has the characteristics of parallel computation, quick search of a global optimal solution and the like, can be mixed with other technologies for use, and is used for optimal control of parameters, structures or environments of intelligent control.
The neural network is a self-adaptive control method which utilizes a large number of neurons and performs learning and adjustment according to a certain topological structure. The method can show rich characteristics, and specifically comprises parallel computing, distributed storage, variable structure, high fault tolerance, nonlinear operation, self organization, learning or self learning. These characteristics are long sought and desired system characteristics. The neural network has unique capability in the aspects of controlling parameters, structures or environments of intelligent control, such as self-adaptation, self-organization and self-learning.
The related technology of intelligent control is combined with the control mode or combined in a comprehensive and crossed way to form an intelligent control system and an intelligent controller with different styles and functions, which is also a main characteristic of the intelligent control technology method.
Currently, in building management, particularly in management of buildings in suburbs, prevention of snake objects is blind, or a special manager is used to keep the buildings for 24 hours to avoid intrusion of objects such as snakes, and once found, the objects are immediately removed and an alarm is given, or an infrared image analysis mechanism is used to identify the objects such as snakes. However, the former consumes a lot of labor, and the latter lacks an active snake-expelling action.
In order to overcome the defects, the invention builds a target identification system based on appearance analysis, and can effectively solve the corresponding technical problem.
The shape analysis-based target identification system shown according to the embodiment of the invention comprises:
the FLASH FLASH memory is positioned near the spherical camera equipment and used for storing a reference snake body outline and a preset proportion threshold value, wherein the reference snake body outline is one or more snake body imaging patterns;
the spherical camera shooting device is arranged above the building channel and used for executing camera shooting operation on the environment near the channel so as to obtain a corresponding current channel image;
the interpolation processing equipment is connected with the spherical camera equipment and used for receiving the current channel image and executing interpolation processing on the current channel image to obtain a corresponding interpolation processing image;
the rendering processing device is connected with the interpolation processing device and used for performing rendering processing on the received interpolation processing image so as to obtain and output a corresponding rendering processing image;
the appearance analysis device is connected with the rendering processing device and used for receiving the rendering processing image and searching an image area with the matching degree exceeding the standard snake body outline in the rendering processing image;
the quantity identification device is connected with the appearance analysis device and used for receiving each image area searched by the appearance analysis device and outputting the image area occupying the largest number of pixel points as a representative area;
the on-site snake-expelling mechanism comprises a medicine spray head and on-site alarm equipment, wherein the medicine spray head is connected with the quantity identification equipment and is used for executing snake-expelling medicine spraying operation on a building channel when the area proportion of the received representative area occupying the rendering processing image is greater than a preset proportion threshold value;
the field alarm equipment is connected with the quantity identification equipment and is used for executing a buzzing alarm operation when the area proportion of the received representative area occupying the rendering processing image is larger than a preset proportion threshold value;
wherein the shape analyzing device, the quantity identifying device and the field snake driving mechanism are all arranged above the building passageway.
Next, the following description will be made on a specific configuration of the object recognition system based on shape analysis according to the present invention.
In the target identification system based on shape analysis:
the rendering processing device is provided with a serial communication interface for receiving serial communication data input from the outside.
In the target identification system based on shape analysis:
the appearance analysis equipment is provided with a parallel communication interface for receiving externally input parallel communication data, and the number of bits of the parallel communication interface is 8 bits or 16 bits.
In the target identification system based on shape analysis:
the quantity identification equipment is connected with the IIC control bus and used for receiving various control commands sent by the IIC control bus, and the various control commands are used for respectively configuring various working parameters of the quantity identification equipment.
In the target identification system based on shape analysis:
the rendering processing device, the appearance analyzing device and the quantity identifying device share the same clock generating device, and the clock generating device is a quartz oscillator.
The target identification system based on shape analysis can further comprise:
and the content display equipment is connected with the rendering processing equipment and is used for receiving and displaying the working state of the rendering processing equipment.
In the target identification system based on shape analysis:
the content display equipment is also connected with the appearance analysis equipment and used for receiving and displaying the working state of the appearance analysis equipment.
In the target identification system based on shape analysis:
the quantity identification device further comprises a built-in storage unit used for temporarily storing the input data and the output data of the quantity identification device.
Meanwhile, in order to overcome the defects, the invention also provides a target identification terminal based on appearance analysis, and the terminal comprises: a memory and a processor, the processor coupled to the memory;
wherein the memory is used for storing executable instructions of the processor;
wherein the processor is configured to invoke executable instructions in the memory to implement a method of using the shape-analysis-based target recognition system as described above to perform a targeted snake repelling action when presence of snake is determined as a result of visual analysis of the vicinity of a building doorway.
In addition, FLASH memory is one of the memory devices. Flash memory is a Non-Volatile (Non-Volatile) memory that can hold data for a long time without current supply, and has storage characteristics equivalent to a hard disk, which is the basis of flash memory becoming a storage medium for various portable digital devices.
The memory unit of the NAND flash memory adopts a serial structure, the reading and writing of the memory unit are carried out by taking a page and a block as a unit (one page comprises a plurality of bytes, a plurality of pages form a memory block, and the size of the NAND memory block is 8-32 KB).
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (2)
1. A target identification system based on shape analysis is characterized by comprising:
the FLASH FLASH memory is positioned near the spherical camera equipment and used for storing a reference snake body outline and a preset proportion threshold value, wherein the reference snake body outline is one or more snake body imaging patterns;
the spherical camera shooting device is arranged above the building channel and used for executing camera shooting operation on the environment near the channel so as to obtain a corresponding current channel image;
the interpolation processing equipment is connected with the spherical camera equipment and used for receiving the current channel image and executing interpolation processing on the current channel image to obtain a corresponding interpolation processing image;
the rendering processing device is connected with the interpolation processing device and used for performing rendering processing on the received interpolation processing image so as to obtain and output a corresponding rendering processing image;
the appearance analysis device is connected with the rendering processing device and used for receiving the rendering processing image and searching an image area with the matching degree exceeding the standard snake body outline in the rendering processing image;
the quantity identification device is connected with the appearance analysis device and used for receiving each image area searched by the appearance analysis device and outputting the image area occupying the largest number of pixel points as a representative area;
the on-site snake-expelling mechanism comprises a medicine spray head and on-site alarm equipment, wherein the medicine spray head is connected with the quantity identification equipment and is used for executing snake-expelling medicine spraying operation on a building channel when the area proportion of the received representative area occupying the rendering processing image is greater than a preset proportion threshold value;
the field alarm equipment is connected with the quantity identification equipment and is used for executing a buzzing alarm operation when the area proportion of the received representative area occupying the rendering processing image is larger than a preset proportion threshold value;
wherein the shape analysis device, the quantity identification device and the field snake-driving mechanism are all arranged above the building passageway;
the rendering processing device is provided with a serial communication interface for receiving serial communication data input from the outside;
the appearance analysis equipment is provided with a parallel communication interface for receiving externally input parallel communication data, and the bit number of the parallel communication interface is 8 bits or 16 bits;
the quantity identification equipment is connected with the IIC control bus and used for receiving various control commands sent by the IIC control bus, and the various control commands are used for respectively configuring various working parameters of the quantity identification equipment;
the rendering processing equipment, the appearance analyzing equipment and the quantity identifying equipment share the same clock generating equipment, and the clock generating equipment is a quartz oscillator;
the content display equipment is connected with the rendering processing equipment and used for receiving and displaying the working state of the rendering processing equipment;
the content display equipment is also connected with the appearance analysis equipment and used for receiving and displaying the working state of the appearance analysis equipment.
2. A shape-analysis based object recognition system according to claim 1, wherein:
the quantity identification device further comprises a built-in storage unit used for temporarily storing the input data and the output data of the quantity identification device.
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Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1477548A (en) * | 2002-08-23 | 2004-02-25 | 英业达股份有限公司 | System for monitoring moving body and its method |
| JP3791611B2 (en) * | 2003-01-31 | 2006-06-28 | 船井電機株式会社 | Security system |
| CN103024419A (en) * | 2012-12-31 | 2013-04-03 | 青岛海信信芯科技有限公司 | Video image processing method and system |
| CN205541220U (en) * | 2016-04-25 | 2016-08-31 | 国网山东省电力公司信息通信公司 | Communication computer lab prevent toy system |
| CN106530102A (en) * | 2016-09-05 | 2017-03-22 | 深圳市双赢伟业科技股份有限公司 | Agricultural interconnection online monitoring method |
| CN207854895U (en) * | 2018-01-08 | 2018-09-14 | 三峡大学 | A kind of drive snake device for transmission tower |
| KR101910843B1 (en) * | 2017-04-21 | 2018-10-23 | 주식회사 클래스액트 | Method for depth based pig segmentation using concave-points and superpixel information |
| CN109492454A (en) * | 2017-09-11 | 2019-03-19 | 比亚迪股份有限公司 | Object identifying method and device |
| CN110210324A (en) * | 2019-05-08 | 2019-09-06 | 华中科技大学 | A kind of road target quickly detects method for early warning and system |
| CN110276255A (en) * | 2019-05-17 | 2019-09-24 | 南京理工大学 | Based on GMM model and the identification of the high-speed railway foreign matter of BP neural network and classification method |
| CN110379106A (en) * | 2019-08-21 | 2019-10-25 | 广东电网有限责任公司 | A kind of toy intrusion detecting prior-warning device and method |
-
2020
- 2020-01-11 CN CN202010032625.1A patent/CN111179533B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1477548A (en) * | 2002-08-23 | 2004-02-25 | 英业达股份有限公司 | System for monitoring moving body and its method |
| JP3791611B2 (en) * | 2003-01-31 | 2006-06-28 | 船井電機株式会社 | Security system |
| CN103024419A (en) * | 2012-12-31 | 2013-04-03 | 青岛海信信芯科技有限公司 | Video image processing method and system |
| CN205541220U (en) * | 2016-04-25 | 2016-08-31 | 国网山东省电力公司信息通信公司 | Communication computer lab prevent toy system |
| CN106530102A (en) * | 2016-09-05 | 2017-03-22 | 深圳市双赢伟业科技股份有限公司 | Agricultural interconnection online monitoring method |
| KR101910843B1 (en) * | 2017-04-21 | 2018-10-23 | 주식회사 클래스액트 | Method for depth based pig segmentation using concave-points and superpixel information |
| CN109492454A (en) * | 2017-09-11 | 2019-03-19 | 比亚迪股份有限公司 | Object identifying method and device |
| CN207854895U (en) * | 2018-01-08 | 2018-09-14 | 三峡大学 | A kind of drive snake device for transmission tower |
| CN110210324A (en) * | 2019-05-08 | 2019-09-06 | 华中科技大学 | A kind of road target quickly detects method for early warning and system |
| CN110276255A (en) * | 2019-05-17 | 2019-09-24 | 南京理工大学 | Based on GMM model and the identification of the high-speed railway foreign matter of BP neural network and classification method |
| CN110379106A (en) * | 2019-08-21 | 2019-10-25 | 广东电网有限责任公司 | A kind of toy intrusion detecting prior-warning device and method |
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