16 results about "Forensic identification" patented technology

This invention discloses a wearable intelligent joint range of motion measurement device for forensic clinical identification, belonging to the field of forensic identification equipment technology. The device includes a wearable fixation component, a posture sensing unit, a data processing unit, a storage and interaction unit, and a power supply unit. It synchronously collects limb posture data from both sides of the joint using dual inertial sensors, calculates high-precision joint range of motion, and automatically matches the data using a built-in disability assessment standard library to output a preliminary suggestion for the disability level. This invention offers objective measurement, convenient wear, and traceable data, specifically addressing the problems of large errors, low efficiency, and susceptibility to subjective interference in traditional forensic manual measurements. It is suitable for limb injury disability assessment and possesses strong practicality and professionalism.

This invention discloses a method for predicting sudden cardiac death based on forensic autopsy data using machine learning and its forensic applications, belonging to the fields of machine learning, statistics, and forensic identification. This invention provides a method for screening independent predictors of forensic diagnosis of sudden cardiac death using LASSO regression and logistic regression. Using 10-fold cross-validation, the method selects the minimum lambda(λ) to identify 14 risk factors. Logistic regression ultimately identifies 9 independent predictors, including age, heart weight, left ventricular wall thickness, right ventricular wall thickness, interventricular septum thickness, aortic valve circumference, mitral valve circumference, liver weight, and left kidney weight. A nomogram and a web-based calculator are constructed for predicting sudden cardiac death in forensic practice, thereby determining sudden cardiac death using objective indicators. This method has not been reported worldwide.

This invention provides a method and system for automatically generating forensic reports, relating to the field of judicial information technology. The method includes: acquiring multimodal forensic materials of the object to be identified; extracting key information tags using a multi-label classification model to generate a tag set; constructing a prompt template for forensic identification based on the tag set using an automatic prompt search algorithm; determining key discovery description paragraphs by combining the prompt template and a language model; performing slot processing on the key discovery description paragraphs and the standard forensic report template using a slot classifier to determine the target position of the template; filling the key discovery description paragraphs into the target position of the template and optimizing the description content in the filled template to generate a draft forensic report; determining whether the draft forensic report passes quality verification; if so, outputting the draft forensic report as the forensic report; otherwise, adjusting the key discovery description paragraphs according to the quality verification results.

This invention relates to the fields of molecular biology and forensic identification, specifically to a method for bird species identification based on multi-gene co-amplification and nanopore sequencing. The method involves extracting genomic DNA from avian biological samples; using the extracted DNA as a template, amplification is performed using four independent PCR primer pools that specifically target the avian mitochondrial cytochrome C oxidase subunit I gene, cytochrome B gene, 12S rRNA gene, and 16S rRNA gene; after purification of the amplification products, a nanopore sequencing library is constructed and sequenced; finally, bioinformatics analysis, including read length clustering, draft consensus sequence generation, and polishing, is performed on the raw sequencing data to obtain consensus sequences for each target gene. Species identification is then completed by comparing the sequence with a avian sequence database. This method effectively solves the problem that existing technologies cannot simultaneously meet the practical needs of large-scale, rapid, and high-success-rate identification of avian biological samples.

The utility model discloses a kind of pupil measuring instruments for forensic identification, including pupil measuring instrument, support assembly is set on pupil measuring instrument, support assembly includes two threaded columns, two threaded columns are respectively installed on the lateral wall of pupil measuring instrument, threaded column is movably sleeved with first ring and support part, support part side installs moving part, support part includes second ring, second ring is movably sleeved on threaded column, moving part is set in second ring lateral wall, second ring outer wall is provided with telescopic plate.The utility model moving part's connecting plate one end is set on support part, connecting plate other end installs pull ring, forensic identification is moved by pulling pull ring and driving connecting plate, single hand completes the position adjustment of support part, vacates another hand and fixes patient head or operates other equipment, improve work efficiency, first ring and second ring are sleeved on threaded column, cooperate with support rod and form triangular support structure, enhance overall rigidity, prevent deformation or wobble in use process.

This invention discloses a method and system for estimating the time of bloodstain traces in judicial practice, relating to the fields of forensic identification and physical evidence technology. The invention acquires spatial distribution AC magnetic susceptibility tensor data of bloodstains and pure substrate magnetic signal array data; constructs a background noise covariance matrix and inputs it into an adaptive Wiener filter model to perform deconvolution separation, generating pure bloodstain intrinsic magnetic susceptibility spectrum data stripped of background interference; performs nonlinear fitting processing on the spectrum data using the fractional-order Haveryak-Nicaraguan relaxation equation, analytically generating relaxation dynamics feature set data; maps this data to a high-dimensional space of a Riemannian manifold to perform geodesic distance optimization calculation, outputting the bloodstain retention time corresponding to the minimum distance. This invention achieves non-destructive, non-contact detection, completely eliminates magnetic field interference from complex substrates, overcomes the measurement distortion of high-dimensional biochemical features, and significantly improves the accuracy and robustness of time estimation.

The present application relates to the field of forensic pathology, forensic genetics and molecular identification technology, in particular to a primer composition for evaluating genetic susceptibility of unexplained sudden death, products and applications thereof. The primer composition provided by the present application comprises nucleotide sequences such as amplification primers shown in SEQ ID NO. 1-512, that is, 256 pairs of primers related to 238 quantitative trait loci. The present application further provides products and methods for evaluating genetic susceptibility of unexplained sudden death of individuals. Experimental results show that the primer composition or kit provided by the present application can detect consistent and highly repeatable genotyping results, and on this basis, the genetic susceptibility of unexplained sudden death can be further evaluated by calculating the polygenic risk score, which has important significance for the genetic background research of unexplained sudden death and the accurate cause of death identification in sudden death related cases in forensic identification work.

This invention discloses a fingerprint development reagent based on natural AIE compounds and precipitated silica, its preparation method, and its application, belonging to the field of forensic identification technology. The reagent is a particulate suspension comprising precipitated silica, natural AIE compounds, a surfactant, and a solvent. During preparation, the surfactant is dissolved in the solvent, the natural AIE compound is added and dissolved, and then precipitated silica is added in batches with stirring to obtain a uniform and stable suspension. This invention uses naturally derived AIE active substances, which are non-toxic, environmentally friendly, and low-cost, avoiding the biotoxicity and complex preparation process of traditional synthetic dyes. It also effectively solves the problems of dust pollution and poor compatibility with moist objects in powder development methods. It achieves high-contrast, high-definition fluorescence development of latent fingerprints on both dry and moist, non-permeable surfaces. The preparation process is simple and controllable, easy to scale up, and has good application prospects in rapid on-site detection fields such as criminal investigation and forensic identification.

The present invention relates to fluorescent dyes in general. The present invention provides a wide range of fluorescent dyes and kits containing the same, which are applicable for labeling a variety of biomolecules, cells and microorganisms. The present invention also provides various methods of using the fluorescent dyes for research and development, forensic identification, environmental studies, diagnosis, prognosis, and / or treatment of disease conditions.

This invention relates to the field of gene testing data compression technology, and discloses an intelligent compression processing method for gene testing data. This invention divides compression blocks by genetic marker names, sample identifiers, chromosomal regions, or gene functional regions as boundaries, assigns an independent compression context to each block, and blocks do not share any compression dictionary or encoding state. A global index mapping table containing exclusion marker bits is established, and a writable marker area physically separated from the data area and index area is defined at the end of the compressed file. Operation records are linked into an immutable chain structure using the national cryptographic SM3 hash chain. This invention can also dynamically select the compression method based on population genetic parameters and perform Mendelian genetic tests during the compression stage to force lossless compression of genetically inconsistent sites. This invention achieves on-demand decompression at the business semantic granularity, balancing storage efficiency and data accuracy, and meeting the requirements of immutability of original data for forensic identification and judicial auditing.

This invention discloses a robust adaptive fault-tolerant mass spectrometry feature classification method and system for cathinone compounds based on deep neural networks. It aims to address the problem of decreased recognition accuracy of cathinone compound mass spectrometry features under conditions of small sample size, strong correlation, unbalanced class distribution, and fault perturbation. The method constructs a robust preprocessing and feature mapping mechanism, improving feature stability through median-interquartile range standardization, outlier clipping, and PCA whitening to remove redundancy. Combining a multi-branch discriminator, prototype distance constraints, and an adaptive fusion mechanism, it dynamically allocates weights between clean and fault-perturbed scenarios based on fault intensity, achieving stable discrimination under perturbation. Simulation results show that the method maintains stable accuracy under fault perturbation scenarios such as random feature masking, additive noise, and system drift. It can effectively distinguish fine-grained categories within cathinone compounds, has high engineering feasibility, and can be used for intelligent screening and rapid forensic identification of new psychoactive substances such as cathinones.

This invention discloses a method and system for encapsulating and verifying multimodal data evidence packages for judicial evidence preservation, belonging to the field of electronic data preservation and forensic identification technology. The method encapsulates multimodal data recorded by one or more data acquisition terminals into a self-contained standardized evidence package and executes an internal consistency verification algorithm. This algorithm analyzes at least one pre-defined physical or physiological coupling relationship between first-modal data reflecting the user's physiological state and second-modal data reflecting the user's behavior or spatial state to generate a verification result for evaluating the internal credibility of the evidence package. Specifically, this invention introduces a multi-verifier set and a veto mechanism. When any coupling relationship verifier detects an anomaly, regardless of the overall score, the evidence package is directly determined to have low credibility. This elevates evidence anti-counterfeiting from a formal hash verification to multi-dimensional mutual verification at the data content level, significantly improving the authenticity verification capability of electronic evidence and the efficiency of judicial acceptance.

This invention provides a cerebral artery pressurized perfusion device, belonging to the technical field of forensic identification auxiliary equipment. It includes an operating table, a reservoir, a first peristaltic pump, perfusion needles, a touch panel, and an electrical control box. The reservoir is placed on the upper surface of the operating table's base plate. The first peristaltic pump is connected to the lower surface of the operating table's top plate. Two perfusion needles and the first peristaltic pump are connected by a flexible hose with a three-way connection. The touch panel is detachably connected to the operating table. The electrical control box is fixedly connected to the upper surface of the operating table's base plate, and the first peristaltic pump is electrically connected to the electrical control box. Compared to traditional manual injection of contrast agent, this invention allows for automatic injection, flexible adjustment of the injection speed, and prevention of air bubble injection, shortening working time while ensuring the quality of subsequent arterial angiography images. It possesses good practicality and economy.

The invention discloses an SNP (Single Nucleotide Polymorphism) genetic marker system for genetic relationship identification of a highly degraded sample, a detection primer and application of the SNP genetic marker system and the detection primer, and belongs to the technical field of forensic medicine identification. According to the invention, through bioinformatics screening and experimental verification, a triallelic SNP genetic marker system of which the lengths of 25 amplicons all do not exceed 110 bp is constructed. The problem that it is difficult to give consideration to genetic marker typing and high system efficiency of highly degraded samples is solved. The random matching probability of the system in Han population in Hunan reaches 1.59 * 10 <-18 >, the cumulative paternity exclusion rate is 0.99979, complete typing of highly degraded DNA can be realized, triad paternity test can be completed, and a new technical scheme which is efficient and compatible with a capillary electrophoresis platform is provided for forensic practice.

This invention relates to the fields of medical image processing, artificial intelligence, and forensic identification technology. It discloses a deep learning-based forensic CT image-assisted cause-of-death deduction system and method, addressing the knowledge barriers and talent bottlenecks in CT image interpretation during forensic identification. The system includes a data acquisition module, an image preprocessing module, a multimodal feature extraction and fusion module, and an auxiliary inference module. The method acquires PMCT images and case information, preprocesses the images, extracts and fuses multimodal features, uses a pre-trained classification model to calculate the probability of the cause of death category, and outputs an auxiliary report. This invention integrates forensic knowledge with deep learning technology to achieve automated and standardized interpretation of CT images. By combining multimodal data from images and case information for comprehensive analysis, the output results are interpretable, providing forensic personnel with an objective and quantitative auxiliary judgment tool, significantly improving the efficiency, scientific rigor, and objectivity of forensic identification.

This utility model relates to the field of forensic identification of physical evidence from road traffic accidents, specifically to a video inter-frame time interval verification device, comprising: a housing with an LED installation area on the front; LED groups installed in the installation area according to functional partitions, including: a first LED area with a first group of LEDs connected to a first control signal; a second LED area with a second group of LEDs connected to a second control signal; a third LED area with a third group of LEDs connected to a third control signal; and a controller outputting the first, second, and third control signals. This utility model uses a controllable LED flashing sequence as a high-precision time reference and generates quantifiable time markers through video capture, achieving accurate verification of inter-frame time intervals.