CN105005852A - Image analysis based intelligent monitoring system for dormitory environment - Google Patents
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Abstract
The present invention discloses an image analysis based intelligent monitoring system for a dormitory environment. According to the method provided by the present invention, a color camera serves as a sensor to implement image collection of the dormitory environment; a collected image is transmitted to a computer terminal by means of wireless data transmission; block weighting contrast is performed between the collected image and a preset standard image by using a specific image processing algorithm, a similarity index of the two images is acquired, and further the state of the dormitory environment is monitored; and meanwhile, a system automatically gives out a corresponding prompt and an optimization scheme for a current dormitory environment, and stores the data and historical records into a database to implement remote monitoring and management of the dormitory through subsequent internet access.
Description
Technical Field
The invention belongs to the field of intelligent household related application, and particularly relates to application of an intelligent monitoring technology in an intelligent household environment.
Background
With the continuous improvement of living standard and consumption ability of people, the demand of smart home is increasingly strong, and the intelligent remote control of household appliances is required more and more urgently, so that the smart home is fried and hot. However, in the past few years, smart homes mainly focus on intelligent and remote control of electric appliances, and research and development are not sufficiently performed in the application field of the home environment. The system is mainly designed aiming at the special application environment of the dormitories of colleges and universities, the population density of the dormitories of colleges and universities is high, the existing management mode is overall old, the environmental sanitation, work and rest rules, public order and the like of the dormitories of the colleges and universities are difficult to effectively manage and maintain, the dormitory environment with poor messiness can be timely supervised and the maintenance is strengthened, disease propagation, bad habit vicious circle and the like caused by the environmental sanitation of the dormitories are avoided, the design aims to research and develop the technical application related to intelligent home, the environment of the dormitories of the colleges and the dormitories is effectively monitored and intelligently analyzed, finally, a set of solution is provided for the student management departments, a reference scheme is intelligently provided for optimizing the environmental management of the dormitories of the colleges, and a new remote multi-directional.
Disclosure of Invention
Aiming at the problems that the existing commercial-oriented intelligent home application is mainly limited to a high-grade community environment, the whole application range is narrow, and system design and product application with strong practical pertinence are lacked. In addition, the dormitory management of students from high schools to middle and primary schools in China still adopts a traditional mode, and the main weaknesses of low intelligent monitoring degree, insufficient emergency management and early warning measures and the like exist generally.
In order to realize the purpose, the following technical processes are adopted: firstly, an OV7670 camera is used for carrying out image sampling based on RGB color space on a dormitory, acquired images transmit image information to a computer control end through a wireless transmission module, then a computer image analysis module is used for carrying out feature extraction, image segmentation and subsequent block weighted comparison processing on the acquired images according to information such as moment, histogram and brightness of the images to obtain dormitory environment conditions, and through pre-stored data comparison, environment condition analysis values are output, and finally corresponding dormitory management reference suggestions are provided. Meanwhile, the monitoring data and the analysis result are stored in the database storage module, so that auxiliary management means such as manual query, access, spot check and the like can be realized through the Internet or an internal network.
The utility model provides a dormitory environment intelligent monitoring system based on image analysis which characterized in that includes: the system comprises an image acquisition module, a wireless data transmission module, a PC (personal computer) end image analysis module and a database storage module; the method comprises the steps of collecting original dormitory environment images through a camera, transmitting collected image records to a computer end through wireless data transmission, carrying out weighting detection on different areas of the images through analysis means of characteristic value extraction, blocking and comparison, calculating and evaluating the environment condition inside the dormitory through calculating the similarity of the images, and finally automatically generating corresponding prompts and optimization schemes, and simultaneously storing the data to a database storage module to facilitate access and query through the Internet.
The dormitory environment image acquisition is realized by an OV7670 camera.
The wireless data transmission module is realized through the WIFI module and the auxiliary circuit.
The analysis means of feature value extraction, blocking and comparison comprises the steps of firstly realizing feature extraction through an image histogram, then realizing blocking of an image region through a region splitting and merging algorithm, then comparing the blocking regions through a histogram matching method, wherein the comparison of the blocking regions is realized by specifically calculating the mean value and standard variance of the histogram to obtain the similarity of the image, and finally realizing weighting detection on different regions based on the comparison result.
The analysis means of characteristic value extraction, blocking and comparison is to realize characteristic extraction based on moment, histogram and brightness of the image, realize image region segmentation through a region splitting and merging algorithm, perform blocking region comparison through a histogram matching method, and calculate the mean value, standard variance, smoothness, third moment and entropy of the histogram to obtain the similarity of the image.
The optimization scheme generation means that various conditions occurring in a dormitory are analyzed in advance, solutions of the conditions are prestored in corresponding positions of the database, analysis results and contents in the database are comprehensively matched, and then the corresponding solutions are called out.
The internet access and query means that after the data are stored in a database, the data are accessed through the internet, and the remote monitoring and management of management personnel on the dormitory are realized.
According to the technical scheme, the image collection is carried out on the environment in the dormitory, the collected images are subjected to image characteristic value extraction, blocking and comparative analysis, the weighting detection is carried out on different areas of the images, the environment condition in the dormitory is obtained finally, and a set of optimization scheme is automatically generated according to the environment condition, so that the management of the dormitory environment is greatly facilitated, the strategy is carried out for beautifying the dormitory for students, vicious circle of bad hygiene habits is avoided, and meanwhile, the data are stored in the database storage module for the dormitory management party to conveniently carry out remote monitoring.
Drawings
FIG. 1 is a schematic diagram of the modules and flow of an intelligent dormitory environment monitoring and management system based on image analysis according to the present invention;
fig. 2 is a schematic diagram of a region segmentation-based split merge algorithm employed in the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the detailed description and specific examples, while indicating the scope of the invention, are intended for purposes of illustration only and are not intended to limit the scope of the invention.
As shown in fig. 1, the system for intelligently monitoring dormitory environment based on image analysis of the present invention comprises the following modules and corresponding implementation steps:
step S101, firstly, carrying out unified standardized arrangement on dormitories, and carrying out standardized image H on all dormitoriesSPre-stored in a database to form a standard libraryThe analysis and optimization management scheme of the subsequent image H provides reference; wherein HSRepresenting a standardized image acquired during an initial period, H representing a series of images acquired subsequently;
step S102, simultaneously, various environment conditions possibly occurring in a dormitory are counted and analyzed in advance, solutions of the conditions are prestored in a database, and a corresponding prompt and solution library is formed;
step S103, secondly, adopting OV7670 camera as acquisition module to realize all images HSAnd H, collecting, namely regularly photographing and sampling dormitories, wherein original images H of dormitory environments in different time periods are collectedSAnd a regular image H after the subsequent environmental condition is changed;
s104, sending the collected image H to a lower computer through a wireless data transmission module at regular intervals;
step S105, at this time, the lower computer carries out system analysis on the received image H, judges the change condition of the dormitory environment, and compares the front and rear images H with the standard image H through characteristic value detectionSThe specific determination method of the difference (2) is as follows.
Step S106-107, firstly, the received image H is divided into blocks and divided into a plurality of limited sub-areas HnThe image H is partitioned by a segmentation-merging algorithm based on region segmentation as shown in fig. 2, and the partitioning method is to repeatedly segment the image H into a plurality of small regions H as shown in fig. 2 in the specificationnAfter the splitting operation is completed, H is then performed for each small areanThe extraction of characteristic value based on image histogram is implemented by each small-area image HnPerforming histogram statistics, and extracting histogram feature vectors according to the following formula:
histogram mean: <math>
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standard deviation of histogram: <math>
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wherein L is the total number of gray levels, ZiRepresenting the ith gray level, P (z)i) Is a normalized histogram gray level distribution with a gray level of ZiProbability of (c), h (z)i) Representing a statistical gray scale of Z in the histogramiThe number of pixels. Partitioning the image H into small regionsnAfter the histogram mean and variance are calculated, block search detection is carried out, it is found that the result generally contains adjacent areas meeting the similarity condition, at this time, the adjacent areas meeting the similarity condition need to be merged, so that splitting and merging of the image H are realized, and a larger block sub-image H is formed subsequentlyN(N ═ 1,2,3 …); at the same time, the image H in the standard library is also subjected toSThe same splitting and merging operation process is carried out to form a corresponding larger partitioned subimage HSN(ii) a Then, the sub-image H will be blockedNWith blocked subimages H of the images in the standard librarySNAnd performing weighted comparison, wherein the comparison process is as follows:
first, a block subimage H of a received original image is divided intoNHistogram equalization is performed, i.e.:
then, the sub-image H is blocked for the image in the standard librarySNHistogram equalization is performed, i.e.:
and finally, comparing the results of the two image equalization to obtain an image similarity matrix: Δ ═ s-v.
Synthesizing the characteristic value vector, the weight matrix a and the similarity matrix delta to obtain each region H of the front and the rear imagesNAnd the weighted similarity of the whole H (giving a specific process), and judging the dormitory environment condition according to the weighted similarity result. Wherein,
weight matrix a: a ═ a1,a2,a3...an]
Image similarity matrix: Δ ═ Δ [ Δ ]1，Δ2,Δ3,...Δn]
Weighted similarity: <math>
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step S108, finally, the image analysis module outputs corresponding analysis results of dormitory environmental conditions after the image characteristic values are extracted and the image characteristic values are subjected to block weighted comparison, the analysis results are comprehensively matched with prestored contents in a standard database of the solution scheme, and the corresponding solution scheme or warning prompt is output according to the matching similarity;
and step S109, simultaneously, output results including dormitory environment conditions and solutions thereof are stored in the database storage module, so that access through the Internet is facilitated, managers can directly read the output evaluation results of the environment conditions of each dormitory and the corresponding solutions, and intelligent and centralized management of the collective environment on the premise of protecting privacy is realized.
The management system process of the present invention is completed. According to the specific implementation of the application, the system and the method are suitable for dormitory management of schools, armies and factories at present, and can be easily transplanted to public environment monitoring applications such as temporary placement points and gathering areas with high population density and complicated management work.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (7)
1. The utility model provides a dormitory environment intelligent monitoring system based on image analysis which characterized in that includes: the system comprises an image acquisition module, a wireless data transmission module, an image analysis module and a database storage module; the image acquisition module collects original dormitory environment images through a camera, the collected image records are transmitted to a computer end through the wireless data transmission module, different areas of the images are subjected to weighted detection through analysis means of characteristic value extraction, blocking and comparison, the environment condition inside the dormitory is calculated and evaluated through calculating the similarity of the images, and finally, corresponding prompt and optimization schemes are automatically generated, and meanwhile, the data are stored in the database storage module, so that the dormitory environment images are conveniently accessed and inquired through the Internet.
2. The dormitory environment intelligent monitoring system based on image analysis of claim 1, wherein: the dormitory environment image acquisition is realized by an OV7670 camera.
3. The dormitory environment intelligent monitoring system based on image analysis of claim 1, wherein: the wireless data transmission module is realized through the WIFI module and the auxiliary circuit.
4. The dormitory environment intelligent monitoring system based on image analysis of claim 1, wherein: the analysis means of feature value extraction, blocking and comparison comprises the steps of firstly realizing feature extraction through an image histogram, then realizing blocking of an image region through a region splitting and merging algorithm, then comparing the blocking regions through a histogram matching method, wherein the comparison of the blocking regions is realized by specifically calculating the mean value and standard variance of the histogram to obtain the similarity of the image, and finally realizing weighting detection on different regions based on the comparison result.
5. The intelligent dormitory environment monitoring system based on image analysis of claim 4, wherein: the analysis means of characteristic value extraction, blocking and comparison is to realize characteristic extraction based on moment, histogram and brightness of the image, realize image region segmentation through a region splitting and merging algorithm, perform blocking region comparison through a histogram matching method, and calculate the mean value, standard variance, smoothness, third moment and entropy of the histogram to obtain the similarity of the image.
6. The dormitory environment intelligent monitoring system based on image analysis of claim 1, wherein: the optimization scheme generation means that various conditions occurring in a dormitory are analyzed in advance, solutions of the conditions are prestored in corresponding positions of the database, analysis results and contents in the database are comprehensively matched, and then the corresponding solutions are called out.
7. The dormitory environment intelligent monitoring system based on image analysis of claim 1, wherein: the internet access and query means that after the data are stored in a database, the data are accessed through the internet, and the remote monitoring and management of management personnel on the dormitory are realized.
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| CN109034847A (en) * | 2018-08-03 | 2018-12-18 | 广州天诚餐饮管理有限公司 | A kind of quality food &beverage service data management system |
| CN111435248A (en) * | 2018-12-26 | 2020-07-21 | 珠海市一微半导体有限公司 | Dormitory building sanitation assessment method and system based on sweeping robot and chip |
| CN111783836A (en) * | 2020-06-04 | 2020-10-16 | 北京思特奇信息技术股份有限公司 | Remote store patrol method and device |
| CN112508328A (en) * | 2020-10-20 | 2021-03-16 | 中国环境科学研究院 | Natural conservation place ecological quality monitoring system and method |
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