CN112926362A - Information analysis and storage system - Google Patents
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- CN112926362A CN112926362A CN201911239206.9A CN201911239206A CN112926362A CN 112926362 A CN112926362 A CN 112926362A CN 201911239206 A CN201911239206 A CN 201911239206A CN 112926362 A CN112926362 A CN 112926362A
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Abstract
The invention relates to a crime scene information analyzing and storing system, which comprises: the cloud storage node is used for storing imaging characteristics of various targets in advance, and the imaging characteristics of the various targets comprise imaging characteristics of human targets; the micro camera shooting mechanism is embedded in the front panel of the scanning terminal and is used for executing camera shooting operation on a crime scene opposite to the scanning terminal so as to obtain and output a corresponding crime scene image; and the data sending equipment is used for receiving the actual parameters of each target and uploading the actual parameters of each target to the cloud storage node through the network. The crime scene information analyzing and storing system has reliable data and effective identification. The system adopts various detection mechanisms to detect the layout of the targets, the human body integrity and the actual parameters of each target in the crime scene, and simultaneously adopts a data storage mechanism of cloud storage, so that the scene data is timely saved, and the slight change of the scene is convenient to detect.
Description
Technical Field
The invention relates to the field of detective equipment, in particular to an information analysis and storage system.
Background
The task of the investigation work is to discover and collect various evidences about cases according to legal procedures, find out criminal facts, check and determine criminal suspects, and take necessary mandatory measures to prevent the current criminal and criminal suspects from continuing criminal activities or escaping detection, prosecution and judgment, thereby ensuring the effective performance of criminal prosecution.
Specifically, the method refers to that a detection organ detects criminal cases already filed according to legal procedures, collects and calls various evidence materials of criminal suspects with crimes or without crimes, mild crimes or severe crimes, accurately and timely finds out crime facts, finds out the criminal suspects, and takes necessary mandatory measures according to the specific conditions of the cases to prevent criminals from escaping detection, destroying or forging evidences, providing in series and the like, so that the criminal suspects are successfully delivered to prosecution and trial, thereby ensuring the successful proceeding of litigation activities and protecting the legal rights and interests of nations, groups and citizens from being infringed.
The collection, recovery and storage of crime scene information are one of the important works for detecting at present, and at present, the collection, recovery and storage are basically carried out manually, and an effective electronic auxiliary mechanism is lacked.
Disclosure of Invention
The invention has at least the following two important points:
(1) detecting actual parameters of each target in a crime scene by adopting an intelligent detection mechanism based on imaging characteristics of various targets, and uploading the actual parameters to a remote cloud storage node to preserve evidence and prevent data from being tampered;
(2) and sending the layout diagram of the relative positions of all targets in the crime scene image to a remote cloud storage node through a network, so that whether the crime scene changes or not can be accurately detected.
According to an aspect of the present invention, there is provided a crime scene information parsing and storing system, the system including:
the cloud storage node is used for storing imaging characteristics of various targets in advance, and the imaging characteristics of the various targets comprise imaging characteristics of human targets;
the micro camera shooting mechanism is embedded in the front panel of the scanning terminal and is used for executing camera shooting operation on a crime scene opposite to the scanning terminal so as to obtain and output a corresponding crime scene image;
the data sending equipment is used for receiving the actual parameters of each target and uploading the actual parameters of each target to the cloud storage node through the network;
the data sending equipment is further used for uploading the field target number and the layout map to the cloud storage node through the network when the field target number and the layout map are received;
the content identification equipment is positioned in the scanning terminal, is respectively connected with the cloud storage node and the miniature camera shooting mechanism, and is used for identifying each target in the received crime scene images so as to obtain an image area corresponding to each target;
the area acquisition equipment is respectively connected with the cloud storage node, the data transmission equipment and the content identification equipment, is used for analyzing each parameter of the image area corresponding to each target so as to acquire the actual parameter of each target, and is also used for sending a layout diagram of the relative position of each target in the crime scene image to the data transmission equipment;
wherein analyzing each parameter of the image region corresponding to each target to acquire the actual parameter of each target comprises: analyzing the imaging depth of field of the image area corresponding to each target to obtain the actual distance from the corresponding target to the miniature camera shooting mechanism based on the camera shooting parameters of the miniature camera shooting mechanism, and obtaining the actual area of the corresponding target based on the area of the image area corresponding to each target, the actual distance from the corresponding target to the miniature camera shooting mechanism and the camera shooting parameters of the miniature camera shooting mechanism;
wherein analyzing each parameter of the image region corresponding to each target to acquire the actual parameter of each target comprises: and analyzing the appearance integrity of the image area corresponding to each human body target to obtain the actual integrity of the corresponding human body target.
The crime scene information analyzing and storing system has reliable data and effective identification. The system adopts various detection mechanisms to detect the layout of the targets, the human body integrity and the actual parameters of each target in the crime scene, and simultaneously adopts a data storage mechanism of cloud storage, so that the scene data is timely saved, and the slight change of the scene is convenient to detect.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a schematic external view of a micro camera of a crime scene information analysis and storage system according to an embodiment of the present invention.
Detailed Description
An embodiment of the crime scene information analyzing and storing system of the present invention will be described in detail with reference to the accompanying drawings.
Crime scenes are places where criminals commit crimes and places where vestiges and physical evidence relating to crimes remain. The crime scene is objective, any criminal action is necessarily carried out in a certain space range, and certain things can be changed, such as casualties and damages of invaded objects, changes of position relations, structural states and surface forms of the objects, and increase or decrease of the objects. These changes are related to a certain fact, can reflect case facts to a certain extent, and can be recognized by people and used for detecting case services. The method can be divided into an original site and a changed site according to the situation that whether the site is changed or not.
The scene can be divided into a main scene and an associated scene according to the position of the scene in the criminal crime implementing process and the mutual relationship of the scene. The scene can be divided into a real scene and a forged scene according to whether the scene is forged or not. The cases and the detection needs can be classified into first, second and … … sites. According to the characteristics of different types of cases, the cases can be divided into a killing site, a fire-releasing site, a theft site, a rape site, a robbery site and the like.
In the prior art, for some crime scenes, a detective person acquires relevant information in a manual analysis mode, and even if a camera and other field information acquisition equipment are adopted, data is simply captured without any active analysis, so that the field information acquisition speed is slow and slight changes of the scene cannot be identified.
In order to overcome the defects, the invention builds a crime scene information analyzing and storing system, and can effectively solve the corresponding technical problem.
The crime scene information analyzing and storing system shown according to the embodiment of the invention comprises:
the cloud storage node is used for storing imaging characteristics of various targets in advance, and the imaging characteristics of the various targets comprise imaging characteristics of human targets;
a micro camera mechanism, as shown in fig. 1, embedded in the front panel of the scanning terminal, for performing camera shooting operation on the crime scene opposite to the scanning terminal to obtain and output a corresponding crime scene image;
the data sending equipment is used for receiving the actual parameters of each target and uploading the actual parameters of each target to the cloud storage node through the network;
the data sending equipment is further used for uploading the field target number and the layout map to the cloud storage node through the network when the field target number and the layout map are received;
the content identification equipment is positioned in the scanning terminal, is respectively connected with the cloud storage node and the miniature camera shooting mechanism, and is used for identifying each target in the received crime scene images so as to obtain an image area corresponding to each target;
the area acquisition equipment is respectively connected with the cloud storage node, the data transmission equipment and the content identification equipment, is used for analyzing each parameter of the image area corresponding to each target so as to acquire the actual parameter of each target, and is also used for sending a layout diagram of the relative position of each target in the crime scene image to the data transmission equipment;
wherein analyzing each parameter of the image region corresponding to each target to acquire the actual parameter of each target comprises: analyzing the imaging depth of field of the image area corresponding to each target to obtain the actual distance from the corresponding target to the miniature camera shooting mechanism based on the camera shooting parameters of the miniature camera shooting mechanism, and obtaining the actual area of the corresponding target based on the area of the image area corresponding to each target, the actual distance from the corresponding target to the miniature camera shooting mechanism and the camera shooting parameters of the miniature camera shooting mechanism;
wherein analyzing each parameter of the image region corresponding to each target to acquire the actual parameter of each target comprises: and analyzing the appearance integrity of the image area corresponding to each human body target to obtain the actual integrity of the corresponding human body target.
Next, a detailed description will be given of a specific configuration of the crime scene information analysis storage system according to the present invention.
In the crime scene information analyzing and storing system:
the area acquisition equipment is also used for counting the number of targets in the crime scene image so as to obtain the number of scene targets to be sent to the data sending equipment.
In the crime scene information analyzing and storing system:
the content authentication device is implemented using a programmable logic device designed using VHDL language.
In the crime scene information analyzing and storing system:
the area acquisition equipment is an MCU control chip, and a timer and a ROM memory are arranged in the MCU control chip.
In the crime scene information analyzing and storing system:
and the content identification device and the area acquisition device are in data connection and data interaction through a 32-bit parallel data interface.
In the crime scene information analyzing and storing system:
the content discrimination apparatus and the area acquisition apparatus share the same field timing apparatus and share the same power input apparatus.
In the crime scene information analyzing and storing system:
and a data cache device is also arranged between the content identification device and the area acquisition device and is respectively connected with the content identification device and the area acquisition device through two data interfaces.
In the crime scene information analyzing and storing system, the system further includes:
and the DRAM memory chip is respectively connected with the content identification device and the area acquisition device and is used for respectively storing the current output data of the content identification device and the area acquisition device.
In the crime scene information analyzing and storing system, the system further includes:
and the GPRS communication interface is connected with the content identification device and is used for transmitting the current transmission data of the content identification device through a GPRS wireless communication link.
In addition, a Micro Control Unit (MCU), also called a Single Chip Microcomputer (Single Chip Microcomputer) or a Single Chip Microcomputer (MCU), properly reduces the frequency and specification of a Central Processing Unit (CPU), and integrates peripheral interfaces such as a memory (memory), a counter (Timer), a USB, an a/D converter, a UART, a PLC, a DMA, and the like, and even an LCD driving circuit on a Single Chip to form a Chip-level computer, which performs different combination control for different applications. Such as mobile phones, PC peripherals, remote controls, to automotive electronics, industrial stepper motors, robotic arm controls, etc., see the silhouette of the MCU.
The 32-bit MCU can be said to be the mainstream of the MCU market, the price of a single MCU is between 1.5 and 4 dollars, the working frequency is mostly between 100 and 350MHz, the execution efficiency is better, and the application types are also multiple. However, the length of the program code with the same function of the 32-bit MCU is increased by 30-40% compared with that of the 8/16-bit MCU due to the increase of the operand and the length of the memory, which causes that the capacity of the embedded OTP/FlashROM memory cannot be too small, and the number of external pins of the chip is greatly increased, thereby further limiting the cost reduction capability of the 32-bit MCU.
It is to be understood that while the present invention has been described in conjunction with the preferred embodiments thereof, it is not intended to limit the invention to those embodiments. It will be apparent to those skilled in the art from this disclosure that many changes and modifications can be made, or equivalents modified, in the embodiments of the invention without departing from the scope of the invention. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention are still within the scope of the protection of the technical solution of the present invention, unless the contents of the technical solution of the present invention are departed.
Claims (9)
1. A crime scene information analysis and storage system is characterized by comprising:
the cloud storage node is used for storing imaging characteristics of various targets in advance, and the imaging characteristics of the various targets comprise imaging characteristics of human targets;
the micro camera shooting mechanism is embedded in the front panel of the scanning terminal and is used for executing camera shooting operation on a crime scene opposite to the scanning terminal so as to obtain and output a corresponding crime scene image;
the data sending equipment is used for receiving the actual parameters of each target and uploading the actual parameters of each target to the cloud storage node through the network;
the data sending equipment is further used for uploading the field target number and the layout map to the cloud storage node through the network when the field target number and the layout map are received;
the content identification equipment is positioned in the scanning terminal, is respectively connected with the cloud storage node and the miniature camera shooting mechanism, and is used for identifying each target in the received crime scene images so as to obtain an image area corresponding to each target;
the area acquisition equipment is respectively connected with the cloud storage node, the data transmission equipment and the content identification equipment, is used for analyzing each parameter of the image area corresponding to each target so as to acquire the actual parameter of each target, and is also used for sending a layout diagram of the relative position of each target in the crime scene image to the data transmission equipment;
wherein analyzing each parameter of the image region corresponding to each target to acquire the actual parameter of each target comprises: analyzing the imaging depth of field of the image area corresponding to each target to obtain the actual distance from the corresponding target to the miniature camera shooting mechanism based on the camera shooting parameters of the miniature camera shooting mechanism, and obtaining the actual area of the corresponding target based on the area of the image area corresponding to each target, the actual distance from the corresponding target to the miniature camera shooting mechanism and the camera shooting parameters of the miniature camera shooting mechanism;
wherein analyzing each parameter of the image region corresponding to each target to acquire the actual parameter of each target comprises: and analyzing the appearance integrity of the image area corresponding to each human body target to obtain the actual integrity of the corresponding human body target.
2. The crime scene information parsing storage system according to claim 1, wherein:
the area acquisition equipment is also used for counting the number of targets in the crime scene image so as to obtain the number of scene targets to be sent to the data sending equipment.
3. The crime scene information parsing storage system according to claim 2, wherein:
the content authentication device is implemented using a programmable logic device designed using VHDL language.
4. The crime scene information parsing storage system according to claim 3, wherein:
the area acquisition equipment is an MCU control chip, and a timer and a ROM memory are arranged in the MCU control chip.
5. The crime scene information parsing storage system according to claim 4, wherein:
and the content identification device and the area acquisition device are in data connection and data interaction through a 32-bit parallel data interface.
6. The crime scene information parsing storage system according to claim 5, wherein:
the content discrimination apparatus and the area acquisition apparatus share the same field timing apparatus and share the same power input apparatus.
7. The crime scene information parsing storage system according to claim 6, wherein:
and a data cache device is also arranged between the content identification device and the area acquisition device and is respectively connected with the content identification device and the area acquisition device through two data interfaces.
8. The crime scene information parsing storage system according to claim 7, wherein the system further comprises:
and the DRAM memory chip is respectively connected with the content identification device and the area acquisition device and is used for respectively storing the current output data of the content identification device and the area acquisition device.
9. The crime scene information parsing storage system according to claim 8, wherein the system further comprises:
and the GPRS communication interface is connected with the content identification device and is used for transmitting the current transmission data of the content identification device through a GPRS wireless communication link.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911239206.9A CN112926362A (en) | 2019-12-06 | 2019-12-06 | Information analysis and storage system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201911239206.9A CN112926362A (en) | 2019-12-06 | 2019-12-06 | Information analysis and storage system |
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| CN112926362A true CN112926362A (en) | 2021-06-08 |
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105023291A (en) * | 2015-05-22 | 2015-11-04 | 燕山大学 | Criminal scene reconstructing apparatus and method based on stereoscopic vision |
| CN107451525A (en) * | 2017-06-06 | 2017-12-08 | 高炎华 | Intelligent xenon cast warning lamp |
| CN108229437A (en) * | 2018-02-02 | 2018-06-29 | 王辉 | Image analysis system based on cloud computing |
| CN108632333A (en) * | 2017-09-18 | 2018-10-09 | 淄博职业学院 | Construction site real time data acquisition, storage, uploading system and application method |
| US20190057286A1 (en) * | 2017-08-16 | 2019-02-21 | Microsoft Technology Licensing, Llc | Crime scene analysis using machine learning |
| CN110316394A (en) * | 2019-07-18 | 2019-10-11 | 贾建峰 | A kind of police crime scene investigation unmanned plane |
-
2019
- 2019-12-06 CN CN201911239206.9A patent/CN112926362A/en not_active Withdrawn
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105023291A (en) * | 2015-05-22 | 2015-11-04 | 燕山大学 | Criminal scene reconstructing apparatus and method based on stereoscopic vision |
| CN107451525A (en) * | 2017-06-06 | 2017-12-08 | 高炎华 | Intelligent xenon cast warning lamp |
| US20190057286A1 (en) * | 2017-08-16 | 2019-02-21 | Microsoft Technology Licensing, Llc | Crime scene analysis using machine learning |
| CN108632333A (en) * | 2017-09-18 | 2018-10-09 | 淄博职业学院 | Construction site real time data acquisition, storage, uploading system and application method |
| CN108229437A (en) * | 2018-02-02 | 2018-06-29 | 王辉 | Image analysis system based on cloud computing |
| CN110316394A (en) * | 2019-07-18 | 2019-10-11 | 贾建峰 | A kind of police crime scene investigation unmanned plane |
Non-Patent Citations (1)
| Title |
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| 张裕民: "犯罪现场信息属性分析", 《武警公安干部学院学报》 * |
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