577 results about "Camera obscura" patented technology

The invention discloses a resolving power measuring device and a resolving power evaluation method for a three-generation dim light image intensifier, and belongs to the field of optical measurement and metering. The resolving power measuring device is characterized by consisting of a light source component, a resolving power target, a collimator tube, an imaging objective lens, a test camera obscura, a charge coupled device (CCD) camera and a computer. The resolving power evaluation method comprises the following steps of: imaging the resolving power target irradiated by a standard light source to a fluorescent screen by using a measured image intensifier; converting into a frame image of a target line by using the CCD camera, and transmitting into the computer; successively processing asingle frame image of the target line by using a normalized cross correlation model and an optical modulation degree model through internal image processing software of the computer to acquire a single frame processing result; and analyzing multi-frame processing results and performing corresponding supplement operation to acquire a final resolving power evaluation result. By the device and the method, the problem of objective evaluation during resolving power measurement of the three-generation dim light image intensifier is solved; and the device and the method can be popularized to other measurement fields such as an intensified charge coupled device (ICCD) measurement field and the like where resolving power is required to be objectively evaluated, and have wide application prospects.

The invention relates to a detection and grading system for tenderness of fresh beef based on multispectral imagery, which belongs to the technical field of detection of food quality. In a dark box, the lens of a CCD industrial camera is aligned with the center of a table board of a height-adjustable objective table, two multispectral light source assemblies are symmetrically arranged at a left sidewall and a right sidewall of the dark box respectively through two light source fixing supports, and a large power LED array on each of multispectral light source assemblies is composed of LEDs of 6 kinds of wave bands; during detection, a sample to be detected is put on the table board of the height-adjustable objective table, the LEDs of 6 kinds of wave bands alternately radiate in order, the CCD industrial camera acquires multispectral images of the sample to be detected, a multispectral beef sample reflection image in an interested area of a lean meat part is extracted through computer image processing, and therefore, marbling of beef is extracted, and evaluation and grading of content of marbling of the beef are carried out, and tenderness of the beef is predicted. The detection and grading system provided by the invention is applicable to companies dealing with cutting, marketing, processing and import and export of fresh beef and to market supervision by quality and technical supervision departments.

The invention relates to an automatic classifying type spindle appearance detection system and method, which solve the problems of waste of labor, material and cost, lack of position and light source control, influence to subsequent appearance detection result, and low efficiency and accuracy on appearance defect detection of the spindle during sorting of spindles with appearance defects in a manual manner. The system comprises a tray and a conveying unit, wherein a dark box is arranged on the conveying unit; a sorting unit is arranged on the conveying unit behind the dark box; an image collection unit is arranged in the dark box; the appearance defect of the spindle is analyzed by collecting an image of each surface of the spindle, and the spindle is automatically classified according to the analysis result. Compared with the manual manner, the system has the advantages that a large amount of labor, material and cost is reduced; compared with common check system, the function of automatically classifying the defective spindles is added, the workload is reduced, and the working efficiency is improved; by providing a self-learning function, the accuracy of oil dirt detection is further improved.

A device used for measuring spectrogram of fog drop is prepared as setting illumination lamp and camera shooting tube as well as target in camera bellows, connecting computer with camera shooting tube through image collection card and connecting information output-storage unit to computer. The method for processing image collected by said device to obtain parameter of fog drop is also disclosed.

The invention discloses a device and a method for automatically detecting lens defects through modulation by an optical grating. The device comprises an isolation detecting system, a motion control system and a light source system, wherein the isolation detecting system is arranged in a camera bellows (13); the motion control system is arranged at the bottom of the camera bellows (13) and arranged on one side of the camera bellows (13); the device is characterized in that the optical grating (6) is fixed on a linear lead screw guide rail (5), a planar backlight (10) is fixed below a to-be-detected lens (4) in parallel and connected with a light source controller (11), and a main controller (12) controls the motion control system through a motion control card (9). According to the method, lens images are sampled twice through movement of the optical grating, the lens defects are classified, positioned and measured through analysis of gray values and morphological characteristics of bright and dark field images, and lens detection accuracy and efficiency are greatly improved.

The invention discloses a CCD chip modulation transfer function test device and method. The CCD chip modulation transfer function test device mainly comprises a He-Ne laser, an adjustable attenuator, a beam expander, a pinhole filter, a diaphragm, a collimating lens, an improved Michelson interferometer, a camera obscura, an image capture card and a PC data processing system, wherein the He-Ne laser, the adjustable attenuator, the beam expander, the pinhole filter, the diaphragm and the collimating lens are arranged on the incident light path of the improved Michelson interferometer in sequence, and the optical axis of the He-Ne laser, the optical axis of the adjustable attenuator, the optical axis of the beam expander, the optical axis of the pinhole filter, the optical axis of the diaphragm and the optical axis of the collimating lens are arranged on the same straight line, the camera obscura is arranged on the emergent light path of the improved Michelson interferometer, and the PC data processing system is connected with the image capture card which is arranged in the camera obscura and is connected with a CCD. Incident light is processed through the CCD chip modulation transfer function test device to form parallel light, and goes out in a sine interference fringe mode through the improved Michelson interferometer, a sine interference fringe pattern is used as a target, imaging is carried out through the CCD, and a modulation transfer function of the CCD is obtained through a test by using the method of the ratio between the sine interference fringe contrast and the image contrast.

The invention discloses a panoramic-vision potato sorting and defect detection device which comprises a conveying device, a detection camera obscura, a sorting mechanism, an infrared sensor module, an image acquisition mechanism, an image processing-analyzing module, a data fusion module and a time sequence module, wherein a convolutional neural network and a support vector machine I (SVM I) are built in the image processing-analyzing module; an SVM II is built in the data fusion module; and the time sequence module is used for coordinating actions of all parts. The invention further discloses a potato sorting detection method using the above device. According to the device and the potato sorting detection method disclosed by the invention, all-around detection can be completed without turning over potatoes in a detection process. Accordingly, the potatoes can be protected from unnecessary damage on the one hand, and on the other hand, the instability during dynamic photo taking and detection can be avoided, and the image clarity and the detection accuracy can be improved. The device and the potato sorting detection method can be widely applied to real-time online detection of the external quality of potatoes, namely a kind of agricultural product, and has significance for promoting development of the Chinese potato industry.

The invention relates to a platform for testing performance of a camera based on an EMVA1288 standard. The method is used for testing the performance of the camera to be tested. The platform comprises an integrating sphere, a camera obscure, an optical power meter arranged in the camera obscure, a computer control system and a bracket, wherein a light inlet hole is formed in the camera obscure; the light inlet hole is matched with a light outlet hole of the integrating sphere; a double-dick filtering component and the camera to be tested are sequentially arranged in the camera obscure along an optical shaft direction of the light outlet hole of the integrating sphere; the double-dick filtering component comprises an optical filter and an attenuation sheet; the optical power meter is positioned between the double-dick filtering component and the camera to be tested and is far away from the optical shaft; the optical filter, the attenuation sheet, the optical power meter and the camera to be tested are arranged on the bracket and are connected with the computer control system; the computer control system calculates and processes attenuation values of light intensity and brightness, and the light power data monitored in real time so as to obtain the performance parameters of the camera to be tested specified in the EMVA1288 standard. The testing platform can test all the parameters specified in the EMVA1288 standard, and is simple in structure and low in cost.

The invention discloses a device for on-line detection and classification of fiber tripping defects of chemical fiber spindles. The device comprises a spindle conveying device, an image acquisition device and a defect elimination module which are positioned on the spindle conveying device, and a good product waiting area and a bad product waiting area which are connected with the spindle conveyingdevice; the defect elimination module comprises an image processing and decision module, a quality statistical evaluation module and a defect control module; the image acquisition device comprises closed dark boxes, LED light source groups, CCD camera groups, image acquisition cards, digital signal processors and memories; the closed dark boxes are arranged above and below the silk ingot conveying device; and the LED light source groups, the CCD camera groups, the image acquisition cards, the digital signal processors and the memories are arranged in the closed dark boxes. The device has thefollowing beneficial effects that collected silk ingot images are processed by combining machine vision and an image processing technology, the interference number and morphological characteristics ofthe tripping fibers and interference fibers can be simultaneously detected, the fiber ingots with the fiber tripping defects can be detected by using detected fiber tripping information, and a sourcecan be traced by using statistical interference information.

The invention belongs to an auto-fluorescence molecule image system which comprises a camera bellows, a CCD camera lens control module, an image processing module, an interactive analysis module and a database module. A system factor corrected by an integrating sphere can be converted into a photon density in an interesting area by the system through a pixel value. The system can work after a temperature value of the CCD camera is set and locked. Firstly, the light source in the camera bellows is opened to shoot an outline of a target object, then the light source is closed to capture a fluorescence signal which projects the outline of the detected object, and the signal is superposed with the outline image. User can choose the interesting area by using a selecting tool so as to acquire a photon density value for performing scientific research. The system of the invention can provide a database function for the user to conveniently manage the data and preview the images. The system of the invention has the advantages of reasonable structure, obvious function, convenient operation, low cost, wide application in the field of researching the small animals in non-invasive biologic experiment.

The invention discloses a visual inspection device and method for inspecting freshness of poultry eggs, and relates to the technical field of poultry egg processing and grading. The device is characterized in that a light source is arranged under a conveyor belt, a dark box is arranged over the conveyor belt, and the top center of the dark box is provided with an industrial camera; the light source irradiates the poultry eggs placed on the conveyor belt through a gap of the conveyor belt, and the industrial camera is connected with a computer through a data line. The method comprises the following steps: (1) capturing a poultry egg image; (2) preprocessing the poultry egg image; (3) extracting the ratio of air chamber area to whole egg area, and taking the ratio as a characteristic parameter; (4) extracting other characteristic parameters; (5) establishing a model; and (6) distinguishing freshness. The device and the method inspect freshness through machine vision, are not captious to application environments, and have good application and promotion foreground; a method never used before is used for extraction of air chamber area, and works well; an SVM (Support Vector Machine) is used for grading, and accuracy is high; and the device and the method are efficient and highly intelligent, and can realize nondestructive inspection.

The invention provides an organism fluorescent three-dimensional imaging system comprising a camera obscura, an illumination module, a rotating-platform device, a charge coupled device (CCD) imaging system, a computer and an anaesthesia device, wherein, the illumination module comprises a laser, a beam splitting fiber, a lighting (light emitting diode) LED and an illumination module controller; the rotating-platform device comprises an anaesthesia apparatus, a temperature control device, a rotating motor and a rotating-platform controller; the CCD imaging system comprises a CCD device, an electric focusing camera lens, a bandpass filter and a CCD imaging system controller; and a total beam end of the beam splitting fiber is connected with an output end of the laser; a beam splitting end of the beam splitting fiber is positioned above a rotating platform; the lighting LED is positioned above a biological rotating platform; and the optical axis of a receiving optical path of the CCD imaging system is crossed with the center of the circle of the biological rotating platform. In the invention, the beam splitting fiber is adopted to stimulate the uniform illumination to the whole organism, thus realizing the continuity and the instantaneity of high flux data collection, eliminating the displacement of the organism organ caused by the suspended rotation, and realizing high sensitivity and accurate image data collection.

The invention discloses a beef quality intelligent grading system and method based on machine vision. The system comprises a beef carcass placing platform, a camera obscura with a camera and a beef quality grading module, wherein the camera in the camera obscura is used as a collection device of the beef carcass information for collecting image signals of a beef carcass to be detected on the beef carcass holding platform; the output of the camera is connected with the beef quality grading module; and the output of the beef quality grading module is used as the output beef grading information of the beef quality intelligent grading system based on the machine vision. In the invention, a digital image processing technique is utilized to carry out relevant required processing on the collected cross section image of the beef carcass; three indexes, such as marbling, fat color and red beef color in an effective musculus ocularis area are utilized for analyzing, thus the whole beef carcass can be graded effectively, the shortage of misjudgement of the traditional beef grading system in which a single index is used can be overcome, and the accuracy and the objectivity of grading can be greatly improved.

The invention relates to a multi-spectrum palm print ID certification method and special-purpose acquisition recorder; the multi-spectrum palm print image acquisition recorder comprises a digital video camera, a multi-spectrum light source, a light source controller, a communication interface, a computer, an instrument bracket with a base, an instrument housing and a palm placement plane, wherein, the digital video camera and the multi-spectrum light source are vertically mounted on the instrument bracket; the instrument housing is fixed outside the instrument bracket and the palm placement plane, so as to form a camera obscura; the light source controller is arranged on the interior side of the instrument housing; the digital video camera and the light source controller are connected with the computer through the communication interface; the invented instrument can acquire high-quality multi-spectrum palm print images, and has the advantages of real-time acquisition and free switch of light sources, so as to meet the requirements for online identification. The acquisition recorder and identification method provided by the invention can well improve universality and stability, as well as anti-fake property and identification performances of traditional palm print and vein identification systems.

The invention relates to a system and a method for real-time appearance digital analysis for a yarn. The system comprises a camera obscura, an image acquisition system and a PC (personal computer) processing terminal, wherein the image acquisition system is electrically connected with the PC processing terminal; and at least two reflectors and an LED (light-emitting diode) backlight source are arranged in the camera obscura. The system disclosed by the invention can be used for dynamically and continuously acquiring yarn images, simultaneously performing related analysis processing on the yarn images of five side surfaces in the images respectively at the same detection position of each image during a characteristic extraction process, extracting characteristics, and finally fusing the yarn appearance characteristic information of all the images to form the appearance characteristic vector of the yarn, performing characteristic similarity DW (X, Y) calculation with a standard sample, and judging the performance and the quality of the yarn on the basis of the calculation result. According to the system and the method disclosed by the invention, the multi-angle three-dimensional appearance characteristic information of the yarn can be obtained in real time, so that the quality of the yarn can be rapidly and accurately determined; the influence of human factors on quality evaluation is effectively reduced, so that the accuracy of analysis is improved; and the system is reasonable in design and high in practicability.

The invention relates to a fog drop parameter measurement device and a fog drop parameter measurement analysis method using the device. The device comprises a box body, wherein a dark box is separated in the box body through a separation plate; a camera is mounted at the top of the dark box; an annular light source is mounted on the camera; a bottom plate capable of stretching out of the box body is mounted at the bottom of the dark box; a backlight light source is mounted on the top surface of the bottom plate; a glass slide is arranged above the backlight light source; and the box body is internally provided with a humidity regulating and controlling mechanism. According to the method, by utilizing the portability of the device, the method is applicable to measurement work of various complicated environments; the structure of the dark box is isolated from the outside so that the stability of a measurement environment and the controllability of humidity can be guaranteed; and a method for obtaining a binary image by processing, analyzing and utilizing an image is used for carrying out quantitative analysis on fog drop grains. The fog drop parameter measurement device and the fog drop parameter measurement analysis method can be adapted to an outdoor complicated measurement environment and the accuracy and reliability of a measurement result can be guaranteed; and meanwhile, the whole device has a simple structure and is convenient to operate and control and the whole method has a simple flow and is convenient to implement.

The invention relates to a visible / near infrared spectroscopy-based poultry infertile egg detecting method and device. The device is a poultry egg detecting device based on visible / near infrared spectroscopy. The device comprises a power source (1), a heat sink (2), an object carrying table (3), a light probe (4), a support (5), an optical fiber (6), a temperature sensor (7), a light source (8) and a detection dark box (9) and also comprises an optical signal sensor (10). The device can monitor environment temperatures in a poultry egg detection process and prevents influences of overhigh temperatures on normal incubation of poultry eggs to be detected. The adjustable probe is adopted, and the position of the light probe can be fixed without adjustment when samples of a same kind are detected, thus reducing detection time. The device adopts a non-contact detection process, overcomes disadvantages that traditional egg candling or other detecting methods need contact with poultry eggs to be detected, and avoids the problem of outside contamination caused by contact type detecting methods. The device and the method (through building an optimum mathematic model from poultry egg spectrum data and fertilization results) can detect, in high accuracy, infertile eggs and fertile eggs before incubation and can increase the production efficiency.

The invention discloses an image processing-based bottled liquid impurity detection system and a detection method thereof. The detection system consists of a mechanical part and a machine vision part; the mechanical part comprises a step motor, a conveyer belt, a fixed pulley and a mechanical clamping device; the machine vision part comprises a camera obscura, a related internal structure, a FPGA (Field Programmable Gate Array) board, a serial communication port, a display module, an alarm module and upper computer software. The detection method of the system is as follows: an image is acquired; the image is segmented from the background by the seed fill algorithm; salt and pepper noises and interference pixels are filtered by fuzzy processing; contrast is increased by binarization processing; the image is connected completely by erosion and dilation operation to remove tiny noise, so that impurities become visible; finally, contour tracing and extraction are carried out to obtain the number, shapes and positions of the impurities. The invention increases image acquisition and processing speed, consequently, manual detection can be replaced, and the purpose of increasing detection speed, quality and production benefit is achieved.

The invention relates to an automatic drive simulator based driving behavior hardware-in-loop simulation testing system, which comprises a simulation module, a sensor module, a domain controller DCU,a camera obscura and a driving simulator. The camera obscura comprises a second display and a camera, and the driving simulator comprises a first display, a driving input device and a computer. The driving input device is used for a driver to input driving control signals, and a driving simulation program is installed in the computer. The first display and the driving input device are both connected with the computer, the simulation module generates a simulation model on the basis of data acquired by the sensor module to receive the driving control signals, inputted by the driver, sent by thedriving input device, the simulation model is updated, synchronous displaying is realized through the second display and the first display, the camera acquires contents displayed by the second displayand sends to a domain controller DCU, and learning is realized through the controller. Compared with the prior art, the system has the advantage of improvement of automobile drive stability and the like.

The invention provides an asphalt mixing plant aggregate gradation online detection and overflowing prevention control method and system. The system comprises a plurality of feeding bins, a pluralityof aggregate conveying belts, terminal equipment, a PLC controller, a frequency converter and a plurality of motors, wherein the quantities of the feeding bins, aggregate conveying belts and motors are the same; an aggregate conveying belt is arranged under each feeding bin; a camera obscura is fixedly arranged on a guide rail of each aggregate conveying belt; light equipment is arranged in the camera obscura; an image collector is arranged at the top of the camera obscura; the terminal equipment is connected with the image collector, so as to receive and process collected images; the terminalequipment is connected with the PLC controller, so as to send a velocity ratio required to be achieved by each aggregate conveying belt; the PLC controller is connected with the frequency converter;the frequency converter is connected with all the motors; each motor is connected with an aggregate conveying belt, so as to perform speed control. The system can ensure that aggregate gradation is qualified and matching requirements are met, and can effectively prevent the phenomenon of overflowing during asphalt mixing.

The invention discloses a Raman lidar calibration device and a calibration method thereof. The device is characterized in that the output end of a receiving fiber (13) is sheathed with a camera obscura (11), and the side surface of the output port of the receiving fiber (13) is provided with luminescent spectrum range covering nitrogen and a luminous diode (1) of the spectral band of gas to be calibrated; the receiving fiber (13) and the light path of the luminous diode (1) are provided with a collimation lens (10) and a beam splitting sheet (5); the reflective light path of the beam splitting sheet (5) is provided with a first optical filter (3) and a first detector (2); and a transmission light path is provided with a second optical filter (7) and a second detector (6). The method is as follows: the light intensity P1 of the spectral band of gas to be calibrated and the light intensity P2 of the nitrogen which are obtained by the first detector (2) and the second detector (6) as well as I lambda N and I lambda X in the intensity expression are substituted into a Raman lidar equation to obtain the density distribution of the gas to be calibrated. The device has simple structure and convenient use and can be used for the quantitative measurement of atmospheric parameters.

The invention provides a testing device for the radiation luminance gain of an ultraviolet image intensifier. The testing device comprises an optical platform and a guide rail arranged on the optical platform, wherein four sliding blocks are arranged on the guide rail, and a light source device, an integrating sphere, a testing dark box and a photometer are arranged on the four sliding blocks in sequence. The light source device emits ultraviolet light, the integrating sphere converts the ultraviolet light into uniform light, the tested image intensifier is arranged in the testing dark box, the uniform light irradiates the cathode surface of the image intensifier, and the photometer measures luminance of a fluorescent screen of the image intensifier; the set heights of the integrating sphere, the testing dark box and the photometer enable light in the testing dark box to be located in a straight line; the tested image intensifier is powered by an external power source. The testing device can detect the radiation luminance gain of the ultraviolet image intensifier, is simple in structure, and has significance on providing technical support for development of a novel detection imaging technology and offering help to the fields of power system detection, the space science and environmental protection research.

The invention relates to a playing device for vehicle-carried rear-projection image advertisements, and consists of a bearing vehicle, a rear-projection screen, a flexible projection black box and a projector. The invention is characterized in that the rear-projection screen, and the projector are arranged atop the bearing vehicle and the flexible projection black box, which can be folded at will, is arranged between the rear-projection screen and the projector. When advertisements are played, the rear-projection screen is changed from a horizontal position to a vertical position, the projector extends outward and the flexible projection black box ejects up from the base automatically to form a projection darkroom safe from external rays and guarantee the broadcasting effect of rear-projection image advertisements. The device for rear-projection image advertisements is arranged atop a vehicle, on one hand, the room inside the vehicle is saved, the advertisement-dedicated vehicle is provided with the function of a commercial vehicle and the cost for advertisement broadcasting is lowered; on the other hand, the position of the rear-projection screen is heightened, which is more convenient for displaying and watching. In addition, the device adopts a light van as the bearing vehicle, which is not prone to traffic restrictions, and is convenient for carrying out advertisement services.

The invention puts forward a stone material surface roughness on-line detection device and a stone material surface roughness on-line detection method, and belongs to the technical field of stone material surface quality detection. The device comprises a base, a liftable bracket, a camera, an enlarger lens, a circular light source, a camera obscura, a positioning device, an image acquisition card, and a computer. The method has a simple process, and is easy to operate. Problems such as low precision and unstable detection caused by subjective factors and proficiency are overcome. An optical technology, a computer technology, a digital image processing technology and an on-line precision measurement technology are integrated. The surface glossiness of a stone material can be detected online, the detection result can be fed back to a detection system in real time, and stone roughness detection can be completed automatically. A plurality of problems of stone enterprises, such as low detection efficiency and unstable detection, are solved effectively.

The invention relates to an intelligent sorting system for plastic bottles and a working method for the intelligent sorting system. The intelligent sorting system comprises a feeding mechanism, a rolling and compacting mechanism, a conveying mechanism, a camera obscura, an image identification system and a sorting mechanism; the feeding mechanism comprises a funnel-shaped vibrating feed port and a slope guide groove so as to guide the plastic bottles to be orderly arranged; the rolling and compacting mechanism is a rolling wheel which is arranged on the lower part of the slope guide groove; the conveying mechanism is a black belt type conveyor; the image identification system comprises an industrial camera and an industrial personal computer; shadowless lamps, the industrial camera, partition plates and the sorting mechanism are arranged in the camera obscura, wherein the industrial camera is arranged above a conveyor belt in the camera obscura, and the shadowless lamps are arranged around the industrial camera; the sorting mechanism comprises a sorting controller, an electromagnetic valve, at least one driving device and baffles, wherein the baffles are arranged corresponding to the driving devices and are arranged below the edge of the surface of the conveyor; the partition plates are arranged below the baffles to divide the camera obscura into two areas; and the sorting controller is in serial port communication with the industrial personal computer through a port and controls the driving devices through the electromagnetic valve to act and drive the baffles to extend and retract so as to realize the sorting of the plastic bottles. According to the intelligent sorting system for the plastic bottles and the working method for the intelligent sorting system, the colored plastic bottles can be effectively, quickly and accurately sorted out, the structure is simple and efficient, the sorting efficiency is greatly higher than the manual sorting efficiency, and the cost is low.

The invention relates to the technical field of machine vision, in particular to a machine vision based LED detection device and a detection method thereof. The LED detection device comprises a carrier plate clamp, a camera obscura and an industrial personal computer, an industrial camera connected with the industrial personal computer is arranged in the camera obscura, a prime lens is arranged on the industrial camera, a condensation plate disposed at the front end of the prime lens is further arranged in the camera obscura, at least two positioning lamps are arranged on a plane of the condensation plate, through holes are formed in a coordinate system plane formed by the positioning plates, and the carrier plate clamp is connected with the through holes through a conduction fiber. The machine vision based LED detection device can detect LEDs quickly, efficiently and stably with low cost, and is applicable to any application environment needing to detect a large quantity of printed circuit board LEDs; the detection method can quickly and efficiently complete detection of dozens of LEDs, and is simple, convenient and rapid to operate.

The invention provides a crop phenotype field high-flux active measuring apparatus and method. Field crops are planted at fixed points, and plant coordinates are recorded at the seedling period of the crops and are stored in a host computer processing module; in a crop maturation period, a PLC module controls a dark box to move somewhere above each crop through position information stored in the host computer processing module; when the dark box moves somewhere above each crop, the dark box moves downwards to cover the plant; manipulator modules move and respectively separate the crops to the two sides of the dark box, the dark box descends and shoots pictures through an imaging sensor, and the pictures are transmitted back to the host computer processing module after imaging; and the host computer processing module processes and analyzes the transmitted pictures so as to obtain and store field crop phenotype parameters. According to the invention, measurement realized by the apparatus and method belongs to active measurement. The apparatus and method have the advantages of high flux, high precision and high efficiency, thereby having wide application prospect.

The invention discloses a transparent plate defect detection device based on machine vision and a detection method thereof, belongs to the technical field of intelligent defect detection of transparent materials, and solves the technical problems of false detection, missing detection and low efficiency in detection of internal defects and surface defects of transparent plates. According to the technical scheme, the device comprises a detection system composed of an industrial camera, an industrial lens, an industrial light source and a stepping motor, the detection system is placed in a cameraobscura, the light source is installed on the side surfaces of a conveying belt and a detected material, and the industrial camera is installed at a vertical position above the detected material forshooting. The detection system adopts a computer to realize Ethernet communication with the industrial camera to obtain an image, and processes the image by adopting a method of first binarization noise reduction, then Gaussian filtering and binarization enhancement to obtain contour information. The defect size information and the defect area are calculated in a mode of comparing by adopting a shooting graduated scale. According to the invention, the labor can be saved, the cost is reduced, the detection accuracy is improved, and the size detection error range is 0.5-5.0%.

The invention discloses an environment test device of a vehicle-mounted millimeter wave radar. The test device comprises a test dark box, the test dark box is internally provided with an environment shielding can for placing the radar to be tested, the side, corresponding to a signal emitting direction of the radar to be tested, of the environment shielding can includes a wave transmitting material, an environment simulator for simulating an environment condition is arranged outside the test dark box, and the environment simulator guides the environment condition in the environment simulator into the environment shielding can via a connecting piece. The invention also discloses an environment test method of the vehicle-mounted millimeter wave radar. Thus, test parts in the test dark box are prevented from damage caused by a special environment, the working condition and performance indexes of the radar to be tested can be tested in real time, and it is ensured that the reliability of the millimeter wave radar in different climate environments can be tested and verified accurately.

The invention relates to an apparatus for detecting mechanoluminescent performance of a luminescent material. The apparatus comprises a dark chamber, an objective table, an ultraviolet lamp, a pressure signal monitoring system, and an optical signal monitoring system; the dark chamber comprises an internal layer dark chamber and an external layer dark chamber, the internal layer dark chamber is placed at one side of the bottom of the external layer dark chamber, and the ultraviolet lamp is arranged in the external layer dark chamber and positioned over the internal layer dark chamber; the pressure transducer is arranged in the external layer dark chamber, and opposites a force application port over the external layer dark chamber, a pressure signal output port is arranged at an outer wallof the external layer dark chamber, and the pressure transducer, a pressure transmitter and the pressure signal output port are electrically connected in order; an objective table is arranged over theinternal layer dark chamber, a sample installation groove is arranged at the objective table, the sample installation groove and the force application port over the external layer dark chamber, and the pressure transducer are coaxially arranged. The apparatus has the advantages that simultaneous and synchronous monitoring is carried out, a pressure signal of mechanical excitation force and the generated optical signal are recorded, and the monitoring result is accurate. The apparatus belongs to the technical field of detection.