344results about How to "To achieve the purpose of detection" patented technology

The invention discloses a vehicle detection system based on binocular stereo vision and a method thereof. The system comprises binocular parallel cameras, a DSP processor, communication and other modules. The system is vertically installed above a lane in a top-down mode so as to carry out real-time detection on road vehicles. The method comprises the following steps of (1) carrying out main point difference calibration on left and right cameras in advance and acquiring an accurate main point difference parameter; (2) collecting left and right images in real time so as to carry out detection and extraction of a foreground moving object; (3) carrying out stereo matching on an extracted and acquired foreground object area and acquiring a current frame parallax image; (4) carrying out subsequent processing on the acquired parallax image and removing a false detection area, simultaneously acquiring a two-dimensional ground plane mapping image; (5) through calculation, acquiring correlation parameters of a speed, a vehicle height, a vehicle model and the like. In the invention, the binocular cameras are used; a stereo vision principle is used so as to acquire depth information of the object; problems that a monocular vision technology is sensitive to light changes and is easy to be disturbed by shadow are solved.

The invention discloses donkey characteristic polypeptide and application thereof to detection on donkey skin derived ingredients. The amino acid sequence of the donkey characteristic polypeptide provided by the invention is shown as SEQ ID NO.1 and the polypeptide is specifically contained in collagen of a donkey. Moreover, the invention also provides a method for detecting donkey skin derived ingredients in glue traditional Chinese medicine, which comprises: carrying out enzyme digestion on the glue traditional Chinese medicine by adopting trypsin or arginine-C enzyme so as to enable the characteristic polypeptide to be dissociated from the collagen; then carrying out detection by adopting liquid chromatography-tandem mass spectrometry so as to judge whether the donkey skin derived ingredients are included in the glue traditional Chinese medicine. The method has the advantages of strong characteristic performance, high sensitivity, simplicity for operation and the like and can accurately authenticate whether the donkey skin derived ingredients are included in the glue traditional Chinese medicine.

The invented method for testing the pitaxial wafer of the light emitting diode (LED) belongs to the area of the test instrument. The positive and negative electrodes are set upon the surface of the epitaxial wafer of LED. The high-voltage constant current source is connected to the positive and negative electrode, making the p type layer and the n type layer in the epitaxial wafer of LED form thebackward diode. The breakdown of the backward diode caused by the high-voltage makes the entire circuit turn on so as to trigger off the luminescence of the luminous layer of the epitaxial wafer of LED. Thus, the target of the test is reached. The method is direct, safe and convenient. Moreover, the electric parameters such as the forward direction on-state voltage, the reverse-leakage current can be obtained if it is photo fluorescence.

The invention discloses a method for detecting broadband private connection based on an open system interconnection (OSI) transmission layer timestamp. The method comprises the following steps of: 1) when a client requests a server for establishing a transmission control protocol (TCP) connection, returning synchronous confirmation message by the server, and intercepting the synchronous confirmation message, adding the timestamp and then sending the synchronous confirmation message to the client by telecom access routing equipment; 2) setting a first constant and a second constant in the telecom access routing equipment; 3) marking the system time of each received TCP message and acquiring the timestamp of each received TCP message by the telecom access routing equipment; and 4) acquiring the system time difference and the timestamp difference between the two adjacent TCP messages sent by the client of the same IP address in real time, acquiring the difference between the system time difference and the timestamp difference, and judging that the client corresponding to the IP address has broadband private connection phenomenon if the difference exceeds the first constant or the non-0 number of the difference in the preset time exceeds the second constant. The method has the advantages of high detection accuracy, low system resource occupancy, simple detection process and wide application range.

The invention relates to an iridium complex containing a boron mesityl unit, a preparation method and the application thereof as a fluorescent probe. An ultraviolet absorption spectrum and a fluorescence emission spectrum are utilized to detect the influence on the photophysical property and an energy transfer process of the complex by adding fluorinions. The complex has high material luminous efficiency and utilizes specific binding of boron mesityl and the fluorinions in a ligand. After the fluorinions are added, the excited-state property of the complex changes, and the energy transfer process also changes to enable the characteristic emission intensity of the iridium complex to be gradually lowered and finally quenched and the blue light emission intensity of an oligomerization ligand to gradually rise, thereby realizing a phosphorescence fluorion probe based on the color comparison and the ratio identification.

The invention discloses a driver driving abnormity detection device and method based on computer vision. The detection device comprises a vehicle-mounted camera and video recording, storing and returning equipment. The vehicle-mounted camera is connected with the video recording, storing and returning equipment. The device is characterized by further comprising a detection server and a data storage server which are arranged in a detection center, the detection server is connected with the data storage server through a network, and the detection server is connected with the video recording, storing and returning equipment through the network. Central video image processing and target detection equipment is further arranged in the detection center, the central video image processing and target detection equipment is connected with a detection server, and the detection server is connected with video recording, storing and returning equipment through a network. According to the invention,the problems of large workload and slow response of manual analysis of the existing monitoring means are solved, real-time automatic detection and monitoring of the driving conditions of drivers, passengers and vehicles are realized, a large amount of manpower is saved, accuracy and effectiveness are realized, and the purpose of detection is achieved.

The invention belongs to the technical field of organic photoelectric functional material, and specifically provides a preparation method of an aza BODIPY based near infrared fluorescent dye and application of the near infrared fluorescent dye to Hg<2+> detection, cell imaging and biomarker. The material is a micromolecular near infrared dye based on aza BODIPY, and near infrared absorption and emission wavelength of which are adjusted by changing Ar group. The material has a structural general formula shown as below, simple synthesis steps with mild conditions, can be used as a near infrared fluorescent material and has good application prospect in ion detection, cell imaging and biomarker.

The invention discloses a preparation method for fluorescent nano-cluster based on rare-earth metal cerium and application of the fluorescent nano-cluster, and relates to a preparation method for synthesizing cerium gold nano-cluster greenly based on rare-earth metal element cerium and application of the cerium gold nano-cluster in imaging and detecting of tumour. Related nano-cluster materials have the characteristics of small size, high stability and the like, have favorable biocompatibility and stable fluorescence characteristic in practical application, and are free from congregation when the nano-cluster materials are placed in an ambient temperature for a long time, and stable in fluorescent property; the method is simple, convenient, and easy to operate; the synthesized nanometer material is low in toxicity, easy to separate and refine, high in signal to noise ratio in process of detecting and imaging of related biology, and high in sensitivity and specificity, and has spacious medical clinical application value and prospect.

The invention relates to a single-joint water machine fish which comprises a shell, a main board cabin, a motion control cabin and a battery cabin; the outer contour of the shell is in a bionic fish shape, one end of the connecting rod is a front shell, and the other end of the front shell is of a bionic fishtail structure, and the front end of the main board cabin is matched and installed with the inner side of the front casing, wherein a lens set is arranged in the main board cabin, an eccentric anti-shake mechanism and a main PCB (printed circuit board), wherein the motion control cabin is connected with the rear end of the main board cabin, a three-axis linkage device and a transmission device are arranged in the motion control cabin, and the battery cabin is arranged below the motion control cabin according to the single-joint water machine fish disclosed by the invention, the special design is adopted for the single-joint water machine fish, the functions of water depth detection, water quality monitoring, underwater photography, underwater exploration, fish school detection, feeding, drug delivery, underwater engineering acceptance and underwater communication, underwater salvage, underwater rescue, seaborne rescue, sea, river, lake bed surveying and mapping, underwater drilling and flaw detection and the like can be realized.

The invention discloses test paper for detecting fluazinam and a detection method thereof; the test paper for detecting fluazinam is prepared by the steps: firstly, taking cysteine as a carbon source, adopting a hydrothermal method to prepare a carbon quantum dot solution, then placing filter paper containing no fluorescent agent in the carbon quantum dot solution, soaking, and drying, to obtain the test paper. The detection method comprises the steps: firstly, dotting the test paper with different-content fluazinam and a blank reagent, air-drying, then observing under ultraviolet light and taking photos, preparing a standard colourimetric card, then dotting the test paper with a sample, air-drying, comparing the color depth of the sample with that of the colourimetric card under ultraviolet light, and semi-quantifying the content of fluazinam in the sample. The method has the advantages of low analysis cost, easy and fast operation, high selectivity and good stability and can realize visualization inspection, and the test paper is easy to carry, the detection method is simple and convenient to operate and can be used in on-site rapid detection.

The invention discloses a gas sensor based on a field effect transistor structure and a preparation method of the gas sensor based on the field effect transistor structure. The gas sensor based on the field effect transistor structure comprises substrate layers, a gate insulating layer, an active layer, a source electrode and a drain electrode, wherein the gate insulating layer is connected with the active layer, the gate insulating layer and the active layer are arranged between the substrate layers, a gate electrode, the source electrode and the drain electrode are arranged on the substrate layers, the gate insulating layer is made of insulating materials with microstructures, and the insulating materials with the microstructures are oxides or insulating polymers. According to the gas sensor based on the field effect transistor structure and the preparation method of the gas sensor based on the field effect transistor structure, due to the fact that the microstructures are arranged on the insulating materials to prepare the gate insulating layer, when gas is fed into the gate insulating layer with the microstructures, the capacitance of the gate insulating layer changes, changes of performance of a field effect transistor are caused, and the purpose of gas detection is achieved. The gas sensor based on the field effect transistor structure is wide in range of detection, and detection of various gases can be achieved. The obtained gas sensor is small in size, the size and cost of a detection device can be reduced, and the gas sensor based on the field effect transistor structure and the preparation method of the gas sensor based on the field effect transistor structure have good application prospect.

The invention discloses a traffic detection method and device. The traffic detection method comprises the steps of obtaining an MAC data packet transmitted by the network interface of a terminal; obtaining a protocol identifier and a port number from the MAC data packet, wherein the protocol identifier is used for indicating a network protocol adopted for transmission of the MAC data packet, and the port number is used for indicating the port adopted for transmission of the MAC data packet; finding an application identifier corresponding to the port number; and obtaining the data packet traffic transmitted by an application which is indicated by the application identifier in the presence of the network protocol which is indicated by the protocol identifier based on the size of the MAC datapacket. According to the traffic detection method and device, the technical problems in related arts that the total traffic consumed by the applications only can be detected, but the network protocols cannot be distinguished and the traffic consumed by each network protocol cannot be detected precisely, are solved.

The invention belongs to the technical field of network information security, and particularly relates to an Android malicious code detection method based on deep learning. According to the method, anAPK file is directly decompressed, part of binary files are visualized, color channels are added to the grey-scale map, pixel normalization is carried out, and the pixel normalization RGB map which is larger in picture information amount and beneficial to training in the model is constructed.And finally, designing and realizing a convolutional neural network classification detection model, and performing classification training on the malicious code image subjected to operation processing by the method so as to achieve the purpose of detecting the malicious code.Aiming at the problems of single method for extracting image features, unobvious image features and poor detection effect in the existing Android malicious code visualization technology, the RGB image of the malicious code is generated, and learning classification is performed after pixel normalization, so that more accurate malicious code detection is realized.

The invention discloses a polyimide containing porphyrin, and aromatic polyimide with better thermal stability is obtained by using aromatic dicarboxylic anhydride with better thermal stability and aromatic organic diamine as basic framework. The preparation method comprises the following step of carrying out condensation reaction on diamino tetraphenyl porphyrin, the aromatic organic diamine and the aromatic dicarboxylic anhydride to synthesize soluble polyimide containing porphyrin, having the characteristics of simple operation, strong controllability and recyclable use of products. The polyimide containing the porphyrin can be used for preparing a corresponding nano fiber film of the polyimide containing the porphyrin by using an electrostatic spinning method, and the nano fiber film is used for detecting explosive steam under an extreme environment, having advantages of high sensitivity and rapid response.

The invention relates to a wind cloud satellite remote sensing image cloud detection method and system and electronic equipment. The method comprises the following steps: step a, extracting an infrared 1 wave band and a visible light wave band of a wind cloud satellite remote sensing image, and respectively obtaining at least two binarization threshold results of the infrared 1 wave band and the visible light wave band by utilizing at least two threshold methods; B, integrating at least two binarization threshold results of the infrared 1 wave band and the visible light wave band by using an integrated threshold method to obtain an integrated threshold cloud detection result of the remote sensing image; C, jointly selecting a training sample set of the random forest according to the integrated threshold cloud detection result and an official cloud detection result; and d, constructing a random forest detection model through the training sample set, and carrying out wind cloud satelliteremote sensing image cloud detection through the random forest detection model. According to the invention, the false detection and missing detection conditions of the cloud are effectively improved,and the utilization rate of the wind cloud satellite remote sensing image is improved.

A drug-resistance gene film chip for detecting mycobacterium tuberculosis is prepared by designing 54 probe spotting on a nylon film by aiming at the mutant sites of mycobacterium tuberculosis rpoB, kagG, embB, inhA, ahpC, gyrA, rrs, rpsL and pncA gene; 12 pairs of specific primers with biotin-labeled at 5' end are utilized; a sample DNA is subjected to triple PCR and amplified to form a large amount of gene fragment products with biotin; the amplified products and the probes on the film chip carry out specific hybridization; and then film washing, enzyme-linking and color reaction are carried out, thus preparing the chip. The gene film chip and the detection method thereof can detect the common gene mutations of the mycobacterium tuberculosis on the drug resistance of drugs such as isoniazid, rifampicin, streptomycin, ethambutol, pyrazinamide, quinolone and the like at one step, and are applicable to extracorporeal detection sputum sample, clinical isolation strains and mycobacterium tuberculosis multi-drug resistant gene in the organization sample.

The invention relates to a detection system for an intelligent liquid crystal display module. An FPGA (Field Programmable Gata Array) controller is respectively connected with an input power supply interface, an upper computer communication interface, an SD (Secure Digital) memory card, a liquid crystal display module interface and a touch screen interface. The liquid crystal display module interface and the touch screen interface can be used for driving liquid crystal display modules with various interface types and various touch screens; the FPGA controller can be in communication with an upper computer on a real-time basis and is used for sending a series of initial set instructions to the detected liquid crystal display module, and the detected liquid crystal display module displays a detection picture on the real-time basis; and the FPGA controller can also read and sequentially display the driving manner, the initial set instructions and the detection picture of the module from the SD memory card so as to realize the offline detection. The detection system has the advantages that the response speed is quick, the various interface types are supported, and the communication with the upper computer can be realized; and the detection system fulfills double protection functions, can quickly switch off the output when the output current exceeds the specified value, can protect the detected module from breakdown and can be also prevented from burning out by a strong current.

The invention discloses an RBAC based malicious program interception and processing method in an Android platform, and belongs to the technical field of mobile security. For the technical field of existing mobile security, privacy data of a user have a leakage risk and a current malicious program detection method has problems to be solved, so that an RBAC based malicious program interception method is proposed. When an application accesses to the privacy data of the user, whether related operations are permitted or not is determined according to a role that the application belongs to and permission information corresponding to the application by querying an RBAC policy library, so that the privacy security of the user is ensured.

The invention provides a nighttime vehicle detection method and system based on image conversion and contour neighborhood difference, and the method comprises the steps: carrying out the preprocessingof the image data collected by a camera, and obtaining a brightness block comprising vehicle lamps; screening out a part of non-vehicle-lamp region according to the brightness of the vehicle lamps, the area and the distance between the vehicle lamps; converting a perspective image into an aerial view, detecting a brightness region in the aerial view, and deleting the brightness region from the perspective image; eliminating a brightness block of a reflecting light source according to the difference between the mean gray scale value of contour points and the mean gray scale value of the contour; and finally carrying out the matching of the vehicle lamps of the same vehicle according to the heights of the vehicle lamps and the distance between the vehicle lamps. The invention proposes a low-cost solution based on the characteristics of a common white-light industrial camera, achieves the deletion and selection of the image data through the brightness features and symmetry of the vehiclelamps at night, achieves the further constraint through the difference between the light of the vehicle lamps and the speed and direction of ground reflected light and the difference between the contour of the light source and the brightness change information in a reflection light contour neighborhood region, and achieves the purpose of the vehicle detection.

The invention discloses a method for detecting a pantograph crack fault based on a curvelet domain moving parallel window, and the method comprises the following steps of: acquiring pantograph images through image pickup systems along a train track, performing a series of preprocessing operations on the acquired images to obtain slipper images; performing second-generation curvelet transform on the slipper images, converting images in a spatial domain into a curvelet decomposition coefficient matrix in a curvelet domain, analyzing, classifying and threshold-processing the curvelet decomposition coefficient matrix by using a moving parallel window method, filtering off curvelet coefficients corresponding to all the inherent image elements, except cracks, on the slipper images, and finally,performing inverse transform on the processed curvelet decomposition coefficient matrix so that slipper crack images can be extracted to implement the detection and recognition for pantograph slippercrack fault. Aiming at the singularity characteristic of pantograph slipper crack lines, the method provided by the invention can be used for effectively capturing the linear characteristics of the crack images by means of curvelet transform, and precisely and effectively extracting crack characteristics to implement the detection for the pantograph crack fault.

The invention discloses a DTW (dynamic time warping) voice recognition-based truck examining method which comprises the step of examining the truck by a training template and a voice recognition template. The method comprises the steps of: taking a DTW voice recognition algorithm as the core; forming the recognition template by training the normal voice generated when a normal truck passes through a track and the voice generated when a damaged truck passes through the track; distinguishing the condition of the damaged parts of the truck during recognition; and transmitting a result to a control center, so that an early diagnosis and forecast process can be made, and the running security of the truck can be guaranteed. The DTW voice recognition-based truck examining method has the advantages of being high in fault detection and recognition rate, and simple in operation system.

The invention relates to the field of explosive acoustoelastic coefficient detection, and specifically relates to an acoustoelastic coefficient calibration method of an explosive residual stress ultrasonic detection method. Firstly, an acoustoelastic coefficient of a standard sample is calibrated, a calibration curve of load-acoustic time difference is made, and in follow-up residual stress measurement for the explosive, load (namely the residual stress) of the explosive can be obtained corresponding to the calibration curve as long as the acoustic time difference of the explosive is measured.By the method provided by the invention, the measured acoustic time difference-load curve of the standard sample has excellent degree of linear fitting, and the measured explosive residual stress isaccurate.

The invention relates to an ink cartridge for an inkjet printer. The ink cartridge comprises an ink cartridge body and an ink storage cavity in the ink cartridge body, wherein ink stored in the ink storage cavity is supplied to the ink outlet of the inkjet printer; the ink cartridge further comprises a detection mechanism for detecting installation of the ink cartridge; the detection mechanism comprises a first detection portion for shielding or changing a first sensor signal path on the inkjet printer, and a second detection part for selectively shielding or changing a second sensor signal path on the inkjet printer; the second detection part comprises a contact mechanism of which one end can contact the bulge on the installation part of the ink cartridge for the inkjet printer, a transparent tube and a movable component in the transparent tube; the movable component can be driven under deformation or movement of the contact mechanism, so that the ink cartridge can be detected during installation. The detection mechanism is simple and easy to assemble, and ink adhesion avoided to further guarantee the detection precision.

The invention provides a system for detecting abnormal instance resources, which is applicable in an RNC. The system comprises a wireless network subsystem and an operation maintenance subsystem; the wireless network subsystem comprises a UE instance control module used for creating and releasing the UE instance; the operation maintenance subsystem comprises a UE instance detection module which is connected with the UE instance control module, and used for executing the command for creating and releasing the UE instance of the UE instance control module; wherein, a registry list and a timer are arranged in the UE instance detection module, and used for saving the information items of the global identifier GID and the UE instance, which marks the UE instance, in the registry during the processes of creating and releasing the UE instance, and detecting the information items of the UE instance on a regular basis, so as to detect the abnormal instance which is created overtime. The system has the advantages of flexible strategy and easy implementation, and brings no change in the basic flow of the prior mobile communication services.