Graphics and technology integrated function system
The development of the integrated image and technology system has enabled the organic integration of image investigation with other investigation technologies, optimized data flow and business flow, solved the problems of inefficiency and high threshold in traditional image investigation and technical investigation in case investigation, and improved the efficiency of solving cases and collecting information.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-01-02
- Publication Date
- 2026-04-07
AI Technical Summary
Traditional image-based investigation methods are difficult to efficiently cover a large number of traditional theft, robbery, and fraud cases, and the approval process for technical investigation methods is inefficient and has high barriers to entry, making it difficult to apply them widely to investigation and case solving.
Develop an integrated image and technology system, including a case-related image platform module, a case monitoring platform module, a transfer platform module, other investigative technology platform modules, and an SMS notification platform module. This system will enable the linkage between various platforms and the integration of data and business flows, optimize the approval process, and provide zero-cost data transmission and analysis capabilities.
It improved the efficiency of solving cases, simplified the grassroots investigation process, reduced the workload, stimulated enthusiasm for information collection, realized the digitization of clues and real-time data transmission, solved the data exchange problem, and improved the efficiency of case solving.
Smart Images

Figure CN121810193A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The application belongs to the technical field of criminal investigation, and particularly relates to a function system integrating image and technology. BACKGROUND
[0002] With the development of the times, traditional theft, robbery and fraud cases are increasing in the city. As an important means of case investigation, image detection is indispensable. However, there are many problems that cannot be solved by relying on single image detection means or need a lot of time to track. In order to further improve the speed and rate of solving cases and further improve the satisfaction of the people, the integration of image detection means and other means is imperative. The technical detection means is a relatively direct means of solving cases, and the mutual integration of image detection and technical detection means can further improve the efficiency of investigation.
[0003] However, the traditional request for technical detection means support needs to go through a lot of approval processes, and it takes at least 72 hours for the whole process of the grassroots team. Moreover, the technical detection means that can be approved for use are mostly major cases, and it is difficult to cover a large number of traditional theft, robbery and fraud cases. The low efficiency and high threshold make it difficult for technical detection means to be widely applied to investigation and case solving.
[0004] Therefore, under the background of the vigorous promotion of multi-aspect linkage operation and the application of multi-means by the department and the province, a function system integrating image and technology is provided. SUMMARY
[0005] The purpose of the present application is to solve the above-mentioned problems, and a function system integrating image and technology is developed by innovating and researching the image detection and other investigation means.
[0006] The technical scheme adopted by the present application is as follows: a function system integrating image and technology, which comprises: a case-related image platform module, a case tracking platform module, a transfer platform module, an other investigation technology platform module and a short message notification platform module;
[0007] The function system integrates image and technology realizes corresponding functions through linkage between various platform sub-modules.
[0008] The case-related image platform module: two function modules are developed: one is an information input module, which can realize the input of case-related image Beijing time, and the platform accesses the provincial public security bureau PGIS coordinate map to obtain point latitude and longitude information by using the map annotation method; the other is an information automatic pushing module, which automatically pushes the information to be input to the transfer platform;
[0009] The case tracking platform module: a point information management module is developed, which can delete, modify and check the pushed information;
[0010] The transfer platform module: an intermediate database is established to receive the pushed data of the related units and the feedback data of the other investigation departments.
[0011] Other investigation technology platform module: developed information flow module, through the transfer platform to extract the Beijing time and latitude and longitude of the case image, carry out investigation work, the work results are automatically pushed to the transfer platform;
[0012] SMS notification platform module: developed information reminder module, realized image detection information push, other investigation technology departments carried out work, feedback of each work node of investigation results, to facilitate users to master the case progress in time.
[0013] In a preferred embodiment, the data interface of the image technology integration function system refers to the data transmission interface and data format standardization between the relevant unit network and other investigation technology department network, to ensure the effectiveness and security of data.
[0014] In a preferred embodiment, the data security of the image technology integration function system: the function module has perfect data security management mechanism, including data encryption, permission control, data backup and disaster recovery measures, to ensure that data cannot be tampered with, leaked or lost.
[0015] In a preferred embodiment, the data processing capacity of the image technology integration function system: refers to the data processing capacity of other investigation technology network and the optimization degree of algorithm, which can efficiently analyze and mine large-scale data and output useful analysis results.
[0016] In a preferred embodiment, the function module of the image technology integration function system can be seamlessly integrated with different types of relevant unit network systems, and has certain scalability, which can meet the needs of relevant unit organizations in different application scenarios.
[0017] In a preferred embodiment, the function module of the image technology integration function system realizes real-time data transmission and analysis, so that users can obtain the latest intelligence information in time and improve the investigation efficiency.
[0018] In a preferred embodiment, the function module of the image technology integration function system should be compatible with various cameras, monitoring equipment and sensors, etc. to realize seamless access and processing of information.
[0019] In a preferred embodiment, the use method comprises the following steps:
[0020] S1: using the case image platform, accurately registering the time and place (latitude and longitude) of the case of suspect multi-image track obtained in image investigation and the case of suspect special time whereabouts, pushing the space-time information to other investigation technology network side through relevant unit network side;
[0021] S2: automatically read the space-time information in other investigation technology platforms, and carry out the investigation of the identity information of the suspect;
[0022] S3: for multiple cases of the same type, unable to find the image of the suspect, accurately label the information of the upper and lower limits of the case occurrence time and the longitude and latitude in the case image platform, push the multiple cases to other investigation technology work, and investigate and sort out the suspects appearing in the multiple cases at the same time;
[0023] S4: clear the identity of the suspect; the third aspect, for the case of identifying the suspect, combined with the image frame clue, carry out the case stringing and parallel.
[0024] As described above, the beneficial effects of the present application are:
[0025] 1. In the present application, image investigation and other investigation technologies are organically integrated, covering more case investigations, improving case solving efficiency, deepening and strengthening the city and county main functions, and better serving the grassroots. It is a difficult problem that needs to be solved at the moment. To integrate the two, first, find the common ground between the two, and realize the integration of data flow; second, optimize the existing approval process, realize the integration of business flow, and develop a graph-technology integrated function system. The function module of data processing is built in the case image platform and the service platform, and a transfer database is built in the relevant unit network. Based on the needs of investigation, the data flow is connected and the business flow is optimized at zero cost, which directly affects the case investigation of the grassroots team, thereby improving the efficiency of case investigation.
[0026] 2. In the present application, since the graph-technology integrated function system has been put into operation, it has accumulated multiple case investigations, produced multiple case clues, and improved the efficiency of clue production; a large number of clues have been produced, which has stimulated the enthusiasm of grassroots teams in collecting basic information, greatly enriched case image resources, made case stringing and parallel become simple, and realized the digitization of investigation clues; the function module is independently developed at zero cost, improves work efficiency, effectively solves the problems of difficult and slow data exchange between the relevant unit network and other investigation technology network, repeated point marking, and complicated procedures, uses the platform for record to replace the approval, reduces the original 7-level approval process to 1 platform 1 key push function, saves more than two-thirds of the workload of the user, and further explores the data image detection. The present application is simple and efficient, and has been recognized by the majority of grassroots investigators. BRIEF DESCRIPTION OF DRAWINGS
[0027] Figure 1 The system block diagram of the present application. DETAILED DESCRIPTION
[0028] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.
[0029] Reference Figure 1 ,
[0030] An integrated image technology system, comprising: a case-related image platform module, a case monitoring platform module, a relay platform module, other investigative technology platform modules, and an SMS notification platform module;
[0031] The integrated graphics and technology system achieves its corresponding functions through the linkage between various platform modules;
[0032] The image platform module for cases involved has two functional modules: one is the information input module, which can input the Beijing time of the images involved in the case. At the same time, the platform connects to the provincial PGIS coordinate map and uses the map annotation method to obtain the latitude and longitude information of the points; the other is the automatic information push module, which automatically pushes the information that needs to be entered to the transit platform.
[0033] Case monitoring platform module: A location information management module has been developed, which can delete, modify, and check for duplicate information in the push notifications;
[0034] Intermediate platform module: Establishes an intermediate database to receive data pushed by relevant units and feedback data from other investigative technology departments;
[0035] Other investigative technology platform modules: An information flow module was developed, which extracts the Beijing time and latitude and longitude of the images involved in the case through the relay platform to carry out investigative work, and the results are automatically pushed to the relay platform;
[0036] SMS notification platform module: An information reminder module has been developed to realize the push of image investigation information, the work of other investigation technology departments, and the feedback of investigation results at various work nodes, so that users can keep abreast of the progress of the case in a timely manner.
[0037] The data interface of the integrated image and technology system refers to the standardized data transmission interface and data format between the relevant unit's network and other investigative technology department networks to ensure the validity and security of the data.
[0038] Data security of the integrated graphics and technology system: The functional modules have a comprehensive data security management mechanism, including data encryption, access control, data backup and disaster recovery measures, to ensure that the data will not be tampered with, leaked or lost.
[0039] The data processing capability of the integrated image and technology system refers to the data processing capability and algorithm optimization of other reconnaissance technology networks, enabling efficient analysis and mining of large-scale data and outputting useful analysis results.
[0040] The functional modules of the integrated graphics and technology system can be seamlessly integrated with different types of related unit network systems, and have a certain degree of scalability, which can meet the needs of relevant units and agencies in different application scenarios.
[0041] The integrated image and technology system's functional modules enable real-time data transmission and analysis, allowing users to obtain the latest intelligence information in a timely manner and improve reconnaissance efficiency.
[0042] The functional modules of the integrated imaging and technology system should be compatible with various cameras, monitoring equipment, and sensors to achieve seamless information access and processing.
[0043] Its characteristic is that the method of use includes the following steps:
[0044] S1: Utilize the case-related image platform to accurately register the time and location (latitude and longitude) of cases involving multiple image trajectories of suspects obtained during image investigation, as well as cases where suspects appear at specific times. Push the spatiotemporal information to other investigation technology networks through the network side of relevant units.
[0045] S2: Automatically read spatiotemporal information from other investigative technology platforms to conduct investigations into the identity of suspects;
[0046] S3: In multiple similar cases, no images of suspects were found. The upper and lower limits of the time of occurrence and the latitude and longitude of the cases were accurately marked on the case image platform. The cases were pushed to other investigative techniques to investigate and sort out suspects who appeared in multiple cases at the same time.
[0047] S4: Identify the suspect; Thirdly, for cases where the suspect is identified, combine the clues in the images and conduct case linking.
[0048] Example 1:
[0049] On February 3, 2023, at around 5:00 PM, a resident surnamed Fan from Yanghe reported to the police that a stranger had come to his supermarket pretending to buy two cartons of Zhonghua cigarettes. The man then switched the two counterfeit cigarettes with the real ones when Fan was not paying attention, resulting in a loss of 1,200 yuan.
[0050] Investigation Process: (I) Tracking and Linking Cases. After the incident, relevant units organized a team of experienced officers to rush to the scene, and investigators from the police station and team simultaneously joined the investigation, immediately conducting an on-site investigation of the theft scene. Through image tracking, the physical characteristics of the suspect were successfully identified, and the suspect's activity trajectory at the crime scene was traced back to determine his escape route. However, due to the suspect's disguise by wearing a hat and mask, his identity could not be confirmed through facial recognition. Investigators retrieved surveillance footage from the area surrounding the crime scene and the escape route, analyzing 40 hours of video frame by frame. They discovered that the suspect rode an electric bike into Suining and disappeared. Based on this, investigators deduced that the suspect was from Suining, and that similar cases should have occurred in the surrounding area. Through the case investigation platform, they discovered that multiple cases of counterfeit cigarettes being exchanged for genuine cigarettes had occurred in Suqian City, Xinyi City, Pizhou City, and Sixian County, Anhui Province.
[0051] (II) Trajectory Mapping and Suspect Identification. Based on the image analysis, the suspect vehicle's movement trajectory was clearly identified. Investigators immediately used the image-technology linkage model to request other investigative departments to conduct further investigations, identifying suspects whose movements matched the vehicle's. This led to the identification of the first suspect, Hu. Investigators then traced Hu's WeChat account transactions, discovering that Liu had transferred money to Hu multiple times after the crime. Analysis of Hu's activities in Suining revealed that he consistently rode an electric scooter to a residential area in Suining before committing the crimes, and this area was Liu's mail receiving address. Based on this, investigators deduced that Liu and Hu were accomplices, thus identifying the second suspect, Liu.
[0052] (III) Meticulous Interrogation, Breaking Through the Defenses. After confirming the suspects' identities, investigators used data analysis to quickly determine the whereabouts of the two suspects and swiftly apprehended them. Considering the suspects' prior criminal records, their resistance to questioning, and their counter-surveillance awareness, investigators meticulously devised an interrogation plan. Faced with a powerful interrogation offensive and overwhelming evidence, the suspects finally succumbed and confessed to repeatedly committing thefts since December 2022 in Suqian City, Xinyi City, Pizhou City, and Suzhou City by exchanging counterfeit cigarettes for genuine ones. Thus, this series of cigarette theft cases was successfully solved.
[0053] (II) The combined use of image analysis and technology is key to identifying suspects. In this case, the image analysis users, with their keen investigative awareness and precise analytical skills, identified the suspect's activity trajectory through extensive screening of social surveillance footage. Investigators quickly entered the specific location, capture time, and image information into the integrated image analysis and technology platform and shared it with other investigative technology departments for analysis. Upon receiving the request, these departments immediately began their work, sifting through a large amount of data to identify potential suspects.
[0054] Example 2:
[0055] Investigation Process: In December 2022, the Municipal Public Security Bureau's Intelligent Investigation Center relentlessly pursued the case, conducted in-depth analysis, and successfully cracked a series of cases involving the theft of elevator mainboards in a residential building under construction. The suspect, Peng Mouyuan (male, 31 years old, from Suqian, Jiangsu Province), was arrested. 14 cases were solved, with a total value of over 1 million yuan. This action resolutely cracked down on the suspect's arrogance, effectively protected the property safety of the people, and strengthened the confidence of real estate companies in resuming work and production.
[0056] Since July 2022, multiple cases of elevator mainboard theft have occurred in residential communities such as Shuyang Wuyue Plaza, Siyang Wuyue Plaza, and Hongxing Tianbo. Surveillance cameras were not yet installed at the crime scenes or in the surrounding area, and the construction sites themselves were poorly managed. The timeframes of the incidents were all around 30 days, significantly increasing the difficulty of the investigation. After reviewing the cases, the center forwarded other investigative techniques, but due to the large time span of the crimes, the suspects could not be identified. Simultaneously, a thorough investigation of individuals with prior convictions for elevator mainboard theft throughout the city and surrounding areas was conducted, but no evidence of involvement was found.
[0057] Users of the municipal and county-level smart investigation centers proactively monitor cases, forming dedicated task forces to conduct in-depth investigative analysis. Municipal bureau center users comprehensively extract images of people and vehicles captured around each crime scene, meticulously screening suspicious targets; while county bureau users conduct thorough door-to-door investigations, gathering a large number of leads. After discussion and analysis by the team, the following characteristics of the suspect's modus operandi were identified: First, the targets were clearly defined, with the suspect stealing elevator mainboards from a large number of buildings in relatively upscale residential complexes such as Wuyue Plaza and Hongxing Tianbo in the county, resulting in losses exceeding 100,000 yuan in multiple complexes. Second, the methods were professional; the stolen mainboards were all disassembled without any signs of forced entry, indicating that the suspect was skilled in theft and likely an elevator installation professional. Third, the crimes were committed locally; the cases occurred consecutively, and no similar cases occurred in surrounding cities during the same period. The earliest cases occurred in Shuyang, and Shuyang had the most cases, suggesting that the perpetrators were likely local residents of Shuyang. Fourth, the suspect used a vehicle; the stolen mainboards were large and heavy, making them difficult to move manually, and no suspicious vehicles were found in the captured images, suggesting that the suspect likely used a scooter or motorcycle to commit the crimes.
[0058] After the task force grasped the suspect's modus operandi, they further investigated: First, they intensified their screening efforts, focusing on verifying information from individuals driving motorcycles and scooters in the vicinity of the crime scenes; second, they identified key personnel, comprehensively analyzing the recent activity patterns of elevator industry workers returning from other areas to find suspicious points; third, they supplemented the case information, verifying each victim and relevant informant, reviewing each crime scene, and ultimately determining the specific time periods of each theft, linking nine cases together and forwarding them to other investigative departments, ultimately identifying Peng Mouyuan as the suspect in this case. Through long-term investigation, examining the flow of funds, communications, and delivery, they identified several receivers of stolen goods, including Zhang Mouqing (male, 58 years old, from Baoding, Hebei) and Ding Mouguang (male, 51 years old, from Suqian, Jiangsu), successfully cracking this major case involving theft and resale of elevator mainboards. After the suspect was apprehended, he confessed to all 14 previous related and hidden cases.
[0059] As can be seen from the above, the present invention organically integrates image investigation with other investigative technologies, covering the investigation of more cases, improving the efficiency of solving cases, deepening and solidifying the main combat functions of cities and counties, and better serving the grassroots level. This is a pressing problem that needs to be solved at present. To achieve successful integration, firstly, it is necessary to find common ground between the two and realize the integration of data flow; secondly, it is necessary to optimize the existing approval process and realize the integration of business flow. The development of the integrated image and technology functional system involves building data processing functional modules on the case-related image platform and service platform, and at the same time, building a transit database on the network of relevant units. Based on the needs of investigation, the data flow is connected and the business flow is optimized at zero cost, directly affecting the case investigation of grassroots police stations and teams, thereby improving the efficiency of case solving. Since its launch, the integrated image and technology system of this invention has served numerous case investigations, generating many case leads and significantly improving lead production efficiency. The large number of leads produced has stimulated enthusiasm for basic information collection at the grassroots level, greatly enriching the image resources related to the cases and simplifying case linking, thus realizing the digitization of investigative leads. This functional module was independently developed at zero cost, improving work efficiency and effectively solving problems such as difficult and slow data exchange between relevant unit networks and other investigative technology networks, duplicate location markings, and cumbersome procedures. By using a platform-based filing system to replace the approval system, the original seven-level approval process has been reduced to a single platform with a one-click push function, saving users more than two-thirds of their workload and further advancing data-driven image investigation. This invention is simple and efficient, and has been widely recognized by grassroots investigators.
[0060] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.
[0061] The foregoing description enables those skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims
1. An integrated graphics and technology system, characterized in that: The integrated image and technology system includes: a case-related image platform module, a case monitoring platform module, a transfer platform module, other investigative technology service platform modules, and an SMS notification platform module; The integrated graphics and technology system achieves its corresponding functions through the linkage between various platform modules; The image platform module for cases involved has two functional modules: one is the information input module, which can input the Beijing time of the images involved in the case. At the same time, the platform connects to the provincial PGIS coordinate map and uses the map annotation method to obtain the latitude and longitude information of the points; the other is the automatic information push module, which automatically pushes the information that needs to be entered to the transit platform. Case monitoring platform module: A location information management module has been developed, which can delete, modify, and check for duplicate information in the pushed information; Intermediate platform module: Establishes an intermediate database to receive data pushed by relevant units and feedback data from other reconnaissance technology networks; Other investigative technology service platform modules: An information flow module was developed, which extracts the Beijing time and latitude and longitude of the images involved in the case through the transit platform, conducts personnel identity screening, and automatically pushes the work results to the transit platform; SMS notification platform module: An information reminder module has been developed to realize the push of image investigation information, the work of other investigation technology departments, and the feedback of investigation results at various work nodes, so that users can keep abreast of the progress of the case in a timely manner.
2. The integrated graphics and technology system as described in claim 1, characterized in that: The data interface of the integrated image and technology system refers to the standardized data transmission interface and data format between relevant unit networks and other reconnaissance technology networks to ensure the validity and security of the data.
3. The integrated graphics and technology system as described in claim 1, characterized in that: Data security of the integrated graphics and technology system: The functional modules have a comprehensive data security management mechanism, including data encryption, access control, data backup and disaster recovery measures, to ensure that the data will not be tampered with, leaked or lost.
4. The integrated graphics and technology system as described in claim 1, characterized in that: The data processing capability of the integrated image and technology system refers to the data processing capability and algorithm optimization of other reconnaissance technology networks, enabling efficient analysis and mining of large-scale data and outputting useful analysis results.
5. The integrated graphics and technology system as described in claim 1, characterized in that: The functional modules of the integrated graphics and technology system can be seamlessly integrated with different types of related unit network systems, and have a certain degree of scalability, which can meet the needs of relevant units and agencies in different application scenarios.
6. The integrated graphics and technology system as described in claim 1, characterized in that: The integrated image and technology system's functional modules enable real-time data transmission and analysis, allowing users to obtain the latest intelligence information in a timely manner and improve reconnaissance efficiency.
7. The integrated graphics and technology system as described in claim 1, characterized in that: The functional modules of the integrated imaging and technology system should be compatible with various cameras, monitoring equipment, and sensors to achieve seamless information access and processing.
8. The method of using the integrated graphics and technology system as described in claim 1, characterized in that: The method of use includes the following steps: S1: Utilize the case-related image platform to accurately register the time and location (latitude and longitude) of cases involving multiple image trajectories of suspects obtained during image investigation, as well as cases where suspects appear at specific times. Push the spatiotemporal information to other investigation technology networks through the network side of relevant units. S2: Automatically reads spatiotemporal information from other investigative technology platforms to conduct identity information screening; S3: In multiple similar cases, no images of suspects were found. The upper and lower limits of the time of occurrence and the latitude and longitude of the cases were accurately marked on the case image platform. The cases were pushed to other investigative techniques to investigate and sort out suspects who appeared in multiple cases at the same time. S4: Identify the suspect; Thirdly, for cases where the suspect is identified, combine the clues in the images and conduct case linking.