133results about How to "Objective detection" patented technology

The invention relates to high optical spectral image technique without harm to agricultural products. It can reflect the appearance of the agriculture products like color, shape, texture, dimension, scar and son on, and internal features like hardness, protein content and connected with knowledge base and experience of experts to make judgment. It can make quick, accurate, timely judgment of products, controlling the overall production with guarantee of the agriculture quality.

The invention discloses a device and a method for detecting freshness of beef. The method comprises the following steps: selecting three carrier gases to detect the volatile gas generated from a newly slaughtered cattle; selecting a predictive model for the beef freshness; detecting the beef to be detected W through a sensor array to obtain maximum signal-to-noise ratio SNRW; calculating storage day numerical value t of the beef W utilizing the predictive model for the beef freshness; judging whether the freshness of the beef W is qualified or disqualified. The invention has the characteristics of quick and high speed detection, good economy, and capability of providing reliable data support for manufacturing food using beef with qualified freshness.

Images of farm animal products taken by CCD camera through image acquisition card are transferred to computer. Under certain condition (temperature, humidity and flow rate), smells emitted from farm animal products through mini pump with no oil are sucked into reaction chamber, where signals are generated by array of gas sensor. The said signals through conditioning circuit, A/D acquisition card are transferred to computer. Computer for simulating human brain to treat vision data and smell data carries out syncretizing and pattern recognition processing. Combining with experts' knowledge in knowledge base as well as experiences, computer makes judgment for qualities of garden spgarden stuff, meat and corns etc. synthetically.

The invention discloses a non-destructive detection device and method of internal information of crops based on the spectrum technology. The method comprises the following steps: a knowledge database is established and the knowledge database related to all crop samples is established for a crop needing to be measured; image data and spectrum data of a crop canopy are acquired into a computer; the acquired image data is preprocessed by the computer and an image feature same as a training sample is extracted; the computer carries out waveband feature extraction same as the training sample on the acquired spectrum data; the computer carries out fusion on the extracted image feature, the waveband feature and the knowledge database, detection test is carried out by utilizing a test sample, the nitrogen and water contents of the current tested crop sample are given, and a detection result is displayed by the computer. According to the invention, which growth period the crop is in and what the nitrogen content is can be judged automatically by the spectrum information, and more convenience in use is brought to a user.

The invention discloses an automatic detecting method and system for the fabric waterproof performance. The imaging head is installed on the top of the YG813 fabric water device test table and the axis is vertical to the test table plane; the signal is connected to the corresponding computer interface. The water-touch test system does the water touching test on the fabric, then the image collecting system gets the fabric wet track image. After treating the track image, the detection software pick the detection field and fabric wet track field to compute the wet ratio which is the ration of fabric wet area and the detection field area. It gets the relational curve between the wet ratio and the AATCC22 standard grade, the cent value and the critical value between each grade to reach the grade automatically by computer. The invention can detect the fabric waterproof quickly, accurately with low cost and high quality; also it can change in many standards to appraise the fabric waterproof impersonally.

The invention discloses a method for detecting the freshness of meat, which adopts a method of headspace solid-phase microextraction (HS-SPME) and gas chromatography-mass spectrometry, and belongs to the technical field of food analysis. The method comprises the following steps of: (1) weighing meat samples according to a principle of 0.1 to 20 g of each meat sample, and placing the weighed samples into a headspace bottle; (2) balancing the meat samples in the headspace bottle for 20 to 60 minutes at the temperature of between 30 to 80 DEG C at the revolution speed of 100 to 1,000 r/min, and extracting for 1 to 30 minutes by inserting a solid-phase micro-extraction fiber head; (3) desorbing the extracted samples at a chromatogram injection port and then analyzing the samples by using a gas chromatograph-mass spectrometer to obtain detection data; and (4) evaluating the freshness of the meat samples by analyzing the detection data. The method for detecting the freshness of the meat has the advantages of obviously improving the objectivity and accuracy of detecting the freshness of the meat by using only a few samples, along with simple and quick pretreatment and whole fully-automatic detection process.

The invention discloses a potato quick nondestructive testing and automatic grading device and method. The automatic grading device comprises a climbing roller shaft conveying device, a transverse conveying belt and a grading output device; and the climbing roller shaft conveying device, a soil removing conveying device, the transverse conveying belt, a longitudinal conveying belt and a grading output device are sequentially connected, and a light sorting device is arranged between the longitudinal conveying belt and the grading output device. By means of the potato quick nondestructive testing and automatic grading device and method, the four-eye stereoscopic vision technology is adopted, and a computer vision hardware system for potato external quality nondestructive testing is built according to three indexes including the weight, the potato shape and the external defect; after the potatoes are subject to outer surface cleaning, external characteristics of potatoes are restored through the four-eye stereoscopic vision technology, defective and abnormal potatoes are screened out, then the different potatoes are conveyed into corresponding grading boxes according to the mass of the potatoes, and potato quick, real-time, objective and nondestructive testing and grading are achieved.

The invention discloses a method for detecting a fingerprint spectrum of Guigui zhugan decoction. The fingerprint spectrum is established by the following steps: S1, preparing a Guigui zhugan decoction test sample solution; S2, preparing a reference solution; S3, absorbing the test sample solution and the reference solution precisely and respectively and injecting the solutions into a liquid chromatograph, and recording a chromatogram map; and S4, outputting a Guigui zhugan decoction fingerprint spectrum obtained in the S3 into a traditional Chinese medicine chromatographic fingerprint similarity evaluation system, selecting chromatographic peaks exiting in all chromatogram maps of Guigui zhugan decoction with different batches as common peaks and generating a contrast fingerprint spectrumof the Guigui zhugan decoction based on an average value calculation method, and calculating relative retention time and relative peak areas of all common peaks. According to the invention, the detecting method having advantages of high stability and precision, and high reproducibility and the like is capable of analyzing the effective components in the Guigui zhugan decoction accurately and hasthe important significance in evaluating the quality of the Guigui zhugan decoction comprehensively and objectively.

The invention belongs to the technical field of automatic detection and relates to a machine vision-based instant noodle seasoning packet missing detection instrument, comprising a computer, at least one video camera, an image acquisition card, a light source, a position sensor and a controller, the position sensor is used for sensing the working beat of a packaging line; the video camera is used for acquiring color images, and the computer utilizes the controller to control the shooting rhythm of the video camera according to the input of the position sensor, analyzes areas of the images which are fallen into the set color thresholds for different seasoning packets according to the input color images and judging whether the corresponding seasoning packets are existed or not, so as to alarm or delete for the situations with packet missing. The invention simultaneously provides a detection method which is realized by utilizing the instrument. The invention completely overcomes the interferences of subjective factors in the artificial visual method and can rapidly, objectively and accurately detect the existence of the seasoning packets and the number integrity.

A detection method of the definition of a digital camera includes the following steps: under the irradiation of even ray, the position of the digital camera is adjusted so as to ensure that a definition test graph just fills up the display screen of the digital camera, and then a picture is taken; the taken picture is input into a computer, the brightness value of each pixel point of the picture is obtained, the brightness difference values of all adjacent pixel points are calculated, the average value of all brightness difference values is calculated and taken as the definition index of the digital camera, and the larger the average value of the brightness difference values is, the higher the definition of the digital camera can be. The detection progress of the detection method does not need the artificial judgment, the detection is objective and accurate, and the detection efficiency is high. The method can greatly facilitate manufacturers of digital imaging equipment to carry out quantitative quality control on products and bring the convenience to common customers for the judgment of product quality at the same time.

The invention belongs to the technical field of automatic detection, and relates to an automatic detection device based on machine vision for defects of instant noodle sauce packets, which is used for detecting whether packaged continuous sauce packets have defects or not. The continuous sauce packets are clamped by sauce packet clamps and conveyed by a sauce packet conveying line arranged on a support, the detection device comprises an in-place sensor, a camera, a light source and a controller. The in-place sensor is fixed onto the support and used for perceiving the tact of motion of the conveying line, signals outputted by the in-place sensor are transmitted into the controller, the controller triggers the camera to take photos according to the perception signals of the in-place sensor, the photos taken by the camera are transmitted into a computer, and processed and analyzed by the computer, and the computer judges whether the sauce packets have defects or not and transmits results to the controller. The invention simultaneously provides a method for detecting defects of instant noodle sauce packets by the aid of the device. The automatic detection device and the method have the advantages that the shortcoming of interference of subjective factors in a manual visual inspection method is completely overcome, existence and quantity completeness of the sauce packets can be quickly, objectively and accurately detected, and detection precision and efficiency for the quality of products are greatly improved.

The invention discloses a device and a method for detecting freshness of beef. The method comprises the following steps: firstly, selecting three types of carrier gases for detecting volatile gas generated by freshly-killed beef; secondly, according to the fitting precision of the detection model of each carrier gas, judging the concentration of the volatile gas, wherein when the R value of only one of the three carrier gases is less than 0.9, the concentration of the volatile gas is the most suitable and the detection accuracy can be ensured; thirdly, selecting a beef freshness pre-detection model; fourthly, detecting beef W to be detected by a sensor array; fifthly, obtaining the signal-to-noise ratio maximum SNRW of the beef W; sixthly, computing a storage day value t of the beef W by a computer according to the beef freshness pre-detection model; and finally, judging whether the freshness of a beef sample is unqualified or qualified by a computer. The device and the method have the characteristics of accurate, objective and rapid detection and capability of providing reliable data support for preparing food using beef with qualified freshness.

The invention discloses a detection device and detection method for freshness of chicken breast. The detection method comprises the following steps: three kinds of carrier gas are selected to detect volatile gas produced by the chicken breast of the just killed chicken, and when the value R of one of the three kinds of the carrier gas is less than 0.9, the concentration of the volatile gas is the most appropriate, so that the accuracy of detection can be ensured; a chicken breast freshness prediction model is selected. A computer is adopted to calculate the storage time value t of the chicken breast by utilizing the chicken breast freshness predication model; the non-conformity or conformity judgment of freshness of the chicken breast sample is made. The detection method has the characteristics of accurate, objective and fast detection, excellent economical efficiency, and capability of supplying reliable data support to manufacturing food by using the chicken breast with the qualified freshness.

The invention discloses an intelligent CT (computed tomography) scanning method and an intelligent CT scanning device. The method comprises the following steps: placing a to-be-detected object onto a carrier table of a CT scanning device, and firstly photographing a DR picture; judging whether the to-be-detected object exceeds the field of view or not by utilizing a Canny margin detection algorithm, and reporting an error if the to-be-detected object exceeds the field of view; otherwise, moving the to-be-detected object onto the center of an X axis of the carrier table, rotating the carrier table for 90DEG, re-photographing a DR picture, judging whether the to-be-detected object exceeds the field of view or not by utilizing the canny margin detection algorithm, and reporting an error if the to-be-detected object exceeds the field of view; otherwise, moving the to-be-detected object onto the center of a Y axis of the carrier table, and adopting the current position as a CT scanning position; moving the to-be-detected object back to the CT scanning position, and starting the CT scanning. By adopting the method, the requirement on the professional knowledge of the detection personnel is lowered, the detection efficiency is improved, the detection process is more objective, standard and intelligent, and the quality control can be better realized.

The invention relates to the technical field of wearable devices, and discloses a method for detecting whether or not the swimming stroke is standard and a wearable device. The method includes the steps that after the wearable device starts the swimming stroke detection function, hand speed information, hand entry angle information and hand direction information generated at the moment when the hands of a swimmer enter water and come out of the water are compared with standard swimming stroke information, and then whether or not the swimming stroke of the swimmer is standard can be obtained. Thus, by means of the embodiment, whether or not the swimming stroke is standard can be objectively and accurately detected, and then the swimming stroke can be standardized.

The invention discloses an ocean oil spill fine telemetering method based on blind source separation. The method includes three processes: a multichannel telemetering system, a mixed spectrum blind signal separation method and spilled oil type recognition method. In the method, a multichannel spectrum observation signal X of a spilled oil sample is obtained through the telemetering system. In the mixed spectrum blind signal separation method, through a quick independent component analysis method, the multichannel spectrum observation signal X is subjected to blind signal separation to obtain a spectrum Y of a plurality of mixed components in the channels respectively, wherein the spectrum Y is the approximation of the main component S in the spilled oil sample and includes hydrocarbons, colloids, asphalts and the content information thereof. The spilled oil type recognition method includes the steps of measuring the characters of the component spectrum, matching the characters of the component spectrum with the spectrum characters of the components in a pattern bank, and further correctly recognizing the components and the contents of the spilled oil. By means of the three steps, the types and the components of the spilled oil can be accurately analyzed, thereby quickly identifying illegal oil spill sources.

The invention discloses an eye accommodation force detection device and method. The device comprises a body and an intelligent terminal, the intelligent terminal is in data communication with the bodyin a wireless manner, the body comprises a shell conveniently worn on the head of a tested person, lens groups and stenopeic disks are sequentially arranged in an inner cavity of the shell from far to near, the lens groups change optical paths, the stenopeic disks are provided with light transmission holes and used for testing eye dioptry, a controller for processing and displaying eye accommodation force detection results is arranged on the shell, the lens groups comprise at least one coaxial convex lens and concave lens, the convex lenses approach to the stenopeic disks, the concave lenseschange inside positions of the shell through an adjusting mechanism arranged on the shell, eyes are positioned at the front ends of optical paths of the body, and the intelligent terminal is embeddedinto a terminal of the body. When the device measures eye accommodation force, a single eye needs to be tested, the eye accommodation force can be objectively measured, and the device has the advantages of high accommodation force measuring accuracy and wide adjusted measuring range.

The present invention belongs to the field of molecular biology technology for detecting environment microbe, and discloses Chaetuceros sp. ribosome DNA and transcription unit spacer nucleic acid sequence as well as oligonucleotide probe designed based on the sequence. Using the nucleic acid molecular probe as primer for PCR reaction and judging the PCR products in the corresponding size can detect Chaetuceros sp. accurately and quickly. The present invention also discloses the fluorescent quantitative PCR technology with these probes for fast and accurate detection and counting of Chaetuceros sp.

The invention discloses a food and oil grain acoustic signal feature extraction method and a food and oil grain acoustic signal feature extraction system based on wavelet transformation. The method comprises steps that: food or oil grains are delivered grain-by-grain into an acoustic signal collection box; the grains impact a metal target in the collection box, such that acoustic signals are produced; the impaction acoustic signals are received by a sound transducer; the received acoustic signals are processed through filtering and amplifying, and are transmitted to a data collection card; the acoustic signals are subject to A/D conversion in the data collection card, and are stored in the data collection card; the acoustic signals are decomposed with the wavelet transformation technology; the acoustic signals are reconstructed by using a selected specific wavelet coefficient; energy values of reconstructed signals are extracted as features, and are associated with quality features ofthe food or oil grains. According to the invention, with the acoustic features of the food and oil grains, and combined with the wavelet transformation technology, a non-destructive test is carried out upon the quality features of food and oil grains. The method is convenient and fast. The testing result is stable, and the resolution is relatively high.

The invention discloses a diagnosis assessment system for post-traumatic stress disorder. The system comprises a functional imaging module used for obtaining resting-state functional imaging data from the brain of a detected individual, an attribute extraction module used for extracting resting-state functional image attribute data from the resting-state functional imaging data obtained by the functional imaging module, a post-traumatic stress disorder characteristic sample library module used for storing historical resting-state functional image attribute data of different post-traumatic stress disorder levels, and a post-traumatic stress disorder assessment module used for comparing the resting-state functional image attribute data with the historical resting-state functional image attribute data to obtain a post-traumatic stress disorder level that the resting-state functional image attribute data belongs to. A quantitative index can be obtained for objectively and accurately assessing the post-traumatic stress disorder level of the detected individual, thereby guiding medical personnel to perform diagnosis, management and treatment on patients.

The invention provides a sensory quality detection method of an electronic cigarette liquid. The sensory quality detection method specifically comprises the following steps: (1) setting 9 sensory quality detection indexes; (2) by adopting an overall cyclic smoke-panel-test method, smoking the electronic cigarette liquid by smoke-panel-test personnel; (3) comprehensively grading the sensory quality of the electronic cigarette liquid by the smoke-panel-test personnel in a manner of centesimal system grading; and (4) counting the sensory quality detection results of the smoke-panel-test personnel. According to the sensory quality detection method of the electronic cigarette liquid provided by the invention, the sensory quality of the electronic cigarette liquid is comprehensively graded on the basis of the sensory quality detection method of cigarettes and in combination with the specific sensory quality style of the electronic cigarette liquid, thus providing a technical guidance for further developing the electronic cigarette liquid of a tobacco extract, and meeting the smoking needs of consumers on electronic cigarettes.

The invention discloses a method for detecting a fingerprint spectrum of cyclocarya paliurus. The method comprises preparation of a test sample solution, preparation of a control product, establishment of a control fingerprint spectrum and calibration of fingerprint spectrum control peaks. According to structural property characteristics of active components, such as terpenoids, flavonoids, steroids, tannins, organic acids, alkaloids and the like, contained in the cyclocarya paliurus, the best mobile phase composition, elution way, detection wavelength, chromatographic column, column temperature and other analysis conditions are screened through a lot of experiments; many experiments verify and show that the method for detecting the fingerprint spectrum of the cyclocarya paliurus can comprehensively, objectively and accurately detect and evaluate the quality of the cyclocarya paliurus, and has important significance on ensuring clinical efficacy.

The invention discloses a method used for detecting assimilation temperature based on an iron ore powder temperature-electric signal curve, and belongs to the detection field of iron ore powder sintering characteristics. According to the method, an iron ore powder sample is placed on a calcium oxide tablet of a detection device, and is arranged between a first electrode and a second electrode in series connection; in temperature increasing process, a detection unit of the detection device is used for detecting change situations of the electric signals of the iron ore powder sample with the time, and the change situations of the temperature with the time, obtaining the corresponding relationship of the electric signals with the temperature based on time medium, and drawing the temperature-electric signal curve of the iron ore powder sample; the temperature value of a corresponding coordinate axis is determined based on the electric signals and the electric signal abrupt change in the temperature curve, and the iron ore powder assimilation temperature is obtained via detection. According to the method, deformation such as wetting angle is adopted for determination of the iron ore powder assimilation temperature, so that determination accuracy of iron ore powder assimilation temperature is increased, and detection efficiency is increased.