34 results about "Evidence analysis" patented technology

The present invention provides a system for analyzing forensic digital evidence using an image filter and a method thereof. The system for analyzing forensic evidence using an image filter includes: a duplicator that creates a copy of digital evidence; a verifying unit that discriminates whether a copy and the original of the digital evidence are the same; an original storage that stores the original of the digital evidence; an evidence analyzer that classifies image files for the copy of the digital evidence stored in the original storage, on the basis of an image filtering model created by a learning model in accordance with predetermined categories, and then analyzes the evidence; and a reporting unit that creates a report about the result of evidence analysis. The image evidence analyzer includes an image file extractor, an image filtering model learning unit, an image filter, and a plurality of analyzers.

A pick and analysis system can be used to choose and analyze figure proof. The proof protecting layer of it protects the analyze proof and prevent to amend and destroy the proof when analyzing and picking. The proof analytic layer of it picks and analyzes the figure proof comprised by the pick and analysis object. The proof expression layer of it offers operation interface for the user's inquiry and consult, and pick and analyze the figure proof of the pick and analysis object. It identifies collects and analyzes figure proof without any destroy, and then protects effectively the dependability and creditability of the figure proof in the system. The system and method prove the originality character of the figure proof and get dependability analysis conclusion.

The invention discloses a combination method based on evidence under a new evidence judgment standard. Through the method, the problems that in the prior art, evidence allocation is unreasonable, anda combination result goes against an actual result are solved. The method comprises the steps that 1, sensors are deployed, wherein sensor groups composed of multiple types of sensors are installed atcorners of a room, and the multiple types of sensors include temperature sensors, humidity sensors, smoke concentration sensors, carbon dioxide concentration sensors and infrared sensors; 2, a new evidence conflict judgment standard Pcor is confirmed, wherein evidence is determined according to data collected by the sensors, and the conflict degree among all the evidence is analyzed according tothe evidence; 3, weight coefficients of all the evidence are determined, wherein a support matrix is constructed according to conflict judgment standard Pcor values of all the evidence, trust degreesare confirmed according to the support matrix, and finally the trust degrees are used to confirm the weight coefficients of all the evidence; and 4, the evidence is combined, wherein basic probabilityassignment vectors are adjusted according to the weight coefficients, and combination is performed according to the DS evidence theory to obtain a more reasonable conclusion.

The invention requests to protect an electronic evidence storage method based on a block chain smart contract, and the method comprises the steps: carrying out the evidence storage through the smart contract by a evidence storage person, carrying out the query of evidence information through the smart contract by a verification person, carrying out the evidence downloading through the smart contract by a researcher, and carrying out the uploading of an evidence analysis result through the smart contract. The smart contract is a key logic module for realizing the method and exchanges data withthe block chain, so that the integrity, the verifiability and the tamper resistance of the electronic evidence are ensured. And meanwhile, all data operations are recorded on the block chain, so thatthe traceability of the electronic evidence is realized.

The invention discloses a traffic accident responsibility assessment method and device based on deep learning. The method comprises the following steps: acquiring driving data of a current car througha car driving recorder, and monitoring car driving through road monitoring equipment; inputting information of cars involved in an accident, and retrieving and obtaining data of the cars involved inthe accident from a database; training a traffic accident responsibility assessment model through the neural network algorithm; and inputting the data of the cars involved in the accident into the traffic accident responsibility assessment model, obtaining an accident responsibility assessment result output by the traffic accident responsibility assessment model, and sending the accident responsibility assessment result to user terminals. The method and device disclosed by the invention has the advantages that centralized management of traffic accident evidences can be achieved, and traffic accident responsibility assessment can be automatically and efficiently carried out; the assessment result is accurate and has a sound legal basis; the assessment speed is high, so that the traffic accident handling efficiency can be greatly improved, and waste of manpower and material resources can be avoided; and evidence analysis and judgment can be carried out in an all-around manner, so that the responsibility assessment result is fair and reasonable.

The invention relates to an automatic knowledge graph construction method, in particular to an evidence association analysis-oriented automatic knowledge graph construction method, which comprises thefollowing steps: step 1, constructing an ontology to describe a knowledge graph, step 2, extracting case-related evidences, step 3, extracting case structure elements, and step 4, establishing a proof relationship between the evidences and the case structure elements; step 5, fusing the knowledge graph of the high-similarity entity; and step 6, storing the knowledge graph. In the prior art, the field of evidences lacks a knowledge graph for storage and representation at present, while the method is simple to operate, and can construct a high-quality knowledge graph at very low labor cost andimprove the evidence analysis efficiency.

The invention discloses a credible evidence analysis and measurement method for software credibility evaluation. The credible evidence analysis and measurement method comprises the following steps: obtaining software credible requirements based on software development documents and standards; constructing a software credible evidence model based on software credible characteristics; designing a software credible evaluation evidence system based on the evidence model; decomposing a software trusted demand based on a granularity standard; establishing a software credible demand and evidence source tracing relationship; determining a software credible demand priority; analyzing and judging software credible requirements; and collecting the software trusted evidence direct measurement elementand measuring the software trusted evidence indirect measurement element. On the basis of the software credible evidence model, evidence data acquisition and measurement are carried out through a credible demand-driven evidence analysis and judgment method, and the accuracy and objectivity of evidence data for software credibility evaluation are ensured, so that the reliability of a software credibility evaluation result is improved.

An embodiment of the invention provides a virtual liaison based real-time express delivery information system and device and relevant contact rules among the virtual liaison, senders, recipients, couriers and the device of a transporting link, and provides a method based on the system for sending and receiving the express items. According to the system, the virtual liaison uses a computer program in a server in an express delivery management center to complete processes of multiple thinking, judging and contacting clients during pick-up and delivery by a courier, and pick-up and delivery electronic documents for the couriers and electronic receipts for the recipients are utilized to ensure legality of the couriers and the recipients during mailing and receiving. The system also introduces an evidence analysis and problem processing module, and uses relevant evidences collected during all links to analyze problems occurred during the express delivery, determine accountabilities and provide determining evidences to relevant people.

The present invention belongs to the field of material evidence analysis technology in court science, in particular, it relates to a method for determining ball-pen ink writing formed time by utilizing chromatographic process. Said method includes the following steps: (A). extracting writing; and (B). making determination by adopting following processes; (1). using GC method to determine solvent component to define ball-pen ink variety; (2). using UV-VIS spectrography to determine the dye used as internal standard material in the ball-pen ink so as to define the variety of said ink; and (3). using HPCL method to determine dye composition to define variety of said ink; and (C) defining relative formed time of the writing and absolute time.

The invention belongs to the technical field of application of the Internet of vehicles, and relates to a ubiquitous video forensics method and system oriented towards the Internet of vehicles. The method comprises the steps that videos are shot and stored locally; for the shot videos, abstract information is generated and uploaded to a server, and according to the abstract information, indexes are built and stored locally; the server combines the video abstract information and client identification to form client video information abstracts, according to the requirements, searching is conducted, whether clients have required video evidence information is determined, if yes, the corresponding client video information abstracts are obtained, the client identification in the corresponding client video information abstracts is extracted, the abstract information is sent to the corresponding clients, and the corresponding clients are requested to upload corresponding video content. By means of the ubiquitous video forensics method and system oriented towards the Internet of vehicles, according to the requirements, decentralized video evidence on various automobile data recorders can beobtained and uploaded to a cloud computing platform for evidence analysis and processing; the cloud computing platform only asks for the related video evidence when forensics needs to be conducted, and no need for the cloud computing platform to waste excessive computing and storing resources on storing and processing the massive video evidence is achieved.

An apparatus and method for collecting digital evidence from a target system to be analyzed at a remote location and then providing security in a remote digital forensic environment based on the collected digital evidence. The method of providing security includes making, by a security providing apparatus, an evidence collection request for collection of evidence of an evidence collection-target apparatus from an evidence collection agent in a remote digital forensic environment, collecting evidence data corresponding to the evidence collection request from the evidence collection agent, verifying the evidence data based on a signature value of the evidence data collected from the evidence collection agent, generating evidence analysis data based on the verified evidence data, verifying the evidence analysis data based on a signature value of the evidence analysis data, and providing security for the evidence collection-target apparatus based on results of the verification of the evidence analysis data.

The invention provides a power transmission and transformation equipment status monitoring system based on a daisy chain topology, and the power transmission and transformation equipment status monitoring system is applied to the power field. The power transmission and transformation equipment status monitoring system comprises a monitoring camera group and a communication module, wherein the monitoring camera group is composed of N monitoring cameras, the communication module is connected with the monitoring camera group and composed of N communication units, the communication module is connected with main control equipment through a communication bus, the rear end of the main control equipment is connected with a processing module as well as a client and a storage module which are connected with the processing module, and the processing module is used for processing videos acquired by the monitoring cameras. The monitoring camera group is adopted for monitoring power transmission and transformation equipment, and performs interception protection on video segments comprising suspicious targets, so as to take measures such as evidence analysis and storage according to the acquired videos; further the power transmission and transformation equipment status monitoring system improves security of the power transmission and transformation equipment while increasing utilization rate of the monitoring system.

A method, a machine-readable storage medium and at least one processing device are provided for analyzing and tracking results of multiple conditions associated with a population criteria, which is evaluated for each entity of at least one entity. The at least one processing device performs analytics associated with the population criteria, which is evaluated for each entity. Results of the analyzing of the multiple conditions are selectively tracked by the at least one processing device. The at least one processing device presents the tracked results to indicate a status of the at least one entity with respect to the tracked analytics.

The present invention belongs to the field of material evidence analysis technology in court science, in particular, it relates to a method for determining ball-pen ink writing formed time by utilizing chromatographic process. Said method includes the following steps: (A). extracting writing; and (B). making determination by adopting following processes; (1). using GC method to determine solvent component to define ball-pen ink variety; (2). using UV-VIS spectrography to determine the dye used as internal standard material in the ball-pen ink so as to define the variety of said ink; and (3). using HPCL method to determine dye composition to define variety of said ink; and (C) defining relative formed time of the writing and absolute time.

The invention provides target state identification and online monitoring equipment for an important channel scene during the extra-high-voltage power transmission process and belongs the field of electric power. The equipment comprises a power supply module, a camera module, a communication module, a processing module and a storage display module. The power supply module is used for continuously supplying power to the camera module. The processing module is used for conducting the feature extraction and other treatments on videos acquired by the camera module. By utilizing the above equipment formed by the above modules, the important channel scene of the extra-high-voltage power transmission process can be monitored in real time. Meanwhile, video segments containing suspicious targets are intercepted for protection, so that the treatments of evidence analysis, storage and other measures can be conducted on acquired videos. In this way, on the premise that the utilization rate of the monitoring system is improved, the safety of the important channel scene of the extra-high-voltage power transmission process can be improved.

The invention provides a power transmission and transformation equipment status bus type recognition and monitoring system, which is used in the power field. The power transmission and transformation equipment status bus type recognition and monitoring system comprises a monitoring camera group and a communication module, wherein the monitoring camera group is composed of N monitoring cameras, the communication module is connected with the monitoring camera group and composed of N communication units, the communication module is connected with main control equipment through a communication bus, the rear end of the main control equipment is connected with a processing module as well as a client and a storage server which are connected with the processing module, and the processing module is used for processing videos acquired by the monitoring cameras. The monitoring camera group is adopted for monitoring power transmission and transformation equipment, and performs interception protection on video segments comprising suspicious targets, so as to take measures such as evidence analysis and storage according to the acquired videos; further the power transmission and transformation equipment status bus type recognition and monitoring system improves security of the power transmission and transformation equipment while increasing utilization rate of the monitoring system.

The embodiment of the present application discloses a performance evaluation system, method, and electronic equipment. The system includes: a data acquisition module, used to acquire dynamic property transaction information and static asset information of the person subject to enforcement; The executor's dynamic property transaction information and static asset information construct portrait basic variables, and construct user portraits based on the portrait basic variables; evidence analysis module, used to identify the evidence label of the execution ability of the executor based on property data and user portraits; evaluation module , which is used to combine user portraits and evidence tags to generate the performance evaluation results of the person subject to enforcement; the display module is used to output the performance evaluation results of the person subject to enforcement, which can improve the accuracy of the evaluation of the performance ability of the person subject to enforcement, and can help law enforcement personnel for manual evaluation.

A method, a machine-readable storage medium and at least one processing device are provided for analyzing and tracking results of multiple conditions associated with a population criteria, which is evaluated for each entity of at least one entity. The at least one processing device performs analytics associated with the population criteria, which is evaluated for each entity. Results of the analyzing of the multiple conditions are selectively tracked by the at least one processing device. The at least one processing device presents the tracked results to indicate a status of the at least one entity with respect to the tracked analytics.

A method for providing an evidence service to facilitate evidence analytic and controls assessment for an enterprise toolchain is disclosed. The method includes compiling raw data via an adapter, the raw data including an event that relates to a software development life cycle; retrieving, from the adapter, the compiled raw data; identifying, by using a model, information that relates to the event from the raw data; extracting the identified information; generating, by using the model, a structured data set based on the extracted information; and determining a controls measurement based on the structured data set.

The invention relates to the judicial technical field, and specifically relates to an electronic evidence analysis suggestion system and method, and the method comprises the steps: S1, inputting an electronic evidence; S2, classifying the electronic evidences according to the strength of the proof force, and sorting the classified electronic evidences according to a time sequence; S3, analyzing apreset number of electronic evidences with the top time in the category with the strongest proving force; S4, analyzing the analyzed electronic evidence and generating an evidence chain, and generating an analysis result according to the evidence chain; S5, determining the category, time and quantity of next analyzed evidences according to an analysis result; S6, repeating the steps S3 to S5 untilthe analysis result meets the preset requirements. According to the method, the suggestions of subsequent evidence analysis are given based on the result of current evidence analysis, so the analysisprocess of each step of electronic evidence is fed back and corrected, and the influence of useless information noise in the electronic evidence on the accuracy of the analysis result is reduced.

The invention discloses an early-stage smoke video detecting method which is immune to the false alarm in a dynamic scene. A turntable drives an IP web cam to intermittently rotate along the horizontal direction, and temporarily stops after rotating for each IP web cam visual angle; the video image data of the monitored scene are collected by the IP web cam, and are converted and transmitted to amonitoring microcomputer through an optical-electrical converter and an Ethernet; the monitoring microcomputer carries out the study and the cumulative evidence analysis to the video image data, monitors the dynamic background of the monitored scene, and judges and analyzes if the smoke is truly available in the monitored scene; and an alarm is triggered if the smoke is determined to be available.The invention overcomes the defects of the prior art that the false alarm rate under the opened dynamic scene is high, the detection robustness is low, and the like, and can correctly detect out theearly-stage smoke within 4-6 seconds.

A pick and analysis system can be used to choose and analyze figure proof. The proof protecting layer of it protects the analyze proof and prevent to amend and destroy the proof when analyzing and picking. The proof analytic layer of it picks and analyzes the figure proof comprised by the pick and analysis object. The proof expression layer of it offers operation interface for the user's inquiry and consult, and pick and analyze the figure proof of the pick and analysis object. It identifies collects and analyzes figure proof without any destroy, and then protects effectively the dependability and creditability of the figure proof in the system. The system and method prove the originality character of the figure proof and get dependability analysis conclusion.

The invention relates to a method for automatically constructing a knowledge map, a method for automatically constructing a knowledge map oriented to evidence association analysis, comprising the following steps: step 1, constructing an ontology to describe the knowledge map, step 2, extracting evidence involved in the case, step 3, extracting The case structure element, step 4, establish the proof relationship between the evidence and the case structure element, step 5, integrate the knowledge map of the high similarity entity, and step 6, store the knowledge map. In the prior art, the evidence field currently lacks a knowledge map for storing representations, but the invention is simple to operate, can construct a high-quality knowledge map with low labor cost, and improve the efficiency of evidence analysis.

The invention relates to the field of electronic evidence data analysis, in particular to an electronic evidence analysis system, which comprises an acquisition module for inputting electronic evidence data; the database which is used for storing typical cases; the verification module which is used for verifying the losslessness of the electronic evidence extraction process; the evaluation modulewhich is used for evaluating the complaint probability according to the integrity of the evidence chain; and the output module which is used for outputting the complaint probability. The electronic evidence analysis system has the advantages that the complaint possibility can be roughly predicted according to the collected evidence data, so that a user has certain psychological expectation on complaint or complaint-vanishing legal results; and the user can preliminarily understand the corresponding litigation risk, so that the user can take corresponding legal measures as soon as possible to guarantee rights and interests.

The present invention provides a system for analyzing forensic digital evidence using an image filter and a method thereof. The system for analyzing forensic evidence using an image filter includes: a duplicator that creates a copy of digital evidence; a verifying unit that discriminates whether a copy and the original of the digital evidence are the same; an original storage that stores the original of the digital evidence; an evidence analyzer that classifies image files for the copy of the digital evidence stored in the original storage, on the basis of an image filtering model created by a learning model in accordance with predetermined categories, and then analyzes the evidence; and a reporting unit that creates a report about the result of evidence analysis. The image evidence analyzer includes an image file extractor, an image filtering model learning unit, an image filter, and a plurality of analyzers.