393 results about "CCD - charge coupled device" patented technology

The invention discloses a defect detection method for a high-reflection battery aluminum shell, which comprises the following steps of: generating sine stripes required by a light source by using computer coding, respectively projecting the sine stripes in x and y directions to the surface of the aluminum shell to be detected through an LCD (Liquid Crystal Display) screen, and acquiring 16 deformed stripe patterns by using a CCD (Charge Coupled Device) camera; drawing a gray value curve of the stripe pattern to obtain a minimum enclosing rectangle of an area where the surface of the to-be-detected aluminum shell is located, and extracting all the surface of the to-be-detected aluminum shell; performing phase extraction and unwrapping on the extracted deformed stripes on the surface of the to-be-detected aluminum shell by using a multi-frequency heterodyne method to obtain a matrix containing phase information in x and y directions; according to the positions of pixel points which are suddenly changed in the phase information, a reflectivity model is used for estimating defect information of the surface of the aluminum shell to be detected, a reflectivity defect graph is generated, gradient information is calculated according to the phase information, and a curvature graph is obtained according to the gradient information and the curvature relation to obtain a clear defect picture.

The invention relates to a continuous casting billet surface defect CCD scanning imaging detection method and system, and relates to the technical field of casting billet detection.The method comprises the steps that multiple light sources are used for illuminating the surface of a casting billet, and a high-resolution CCD camera is used for collecting images of the surface of the casting billet; carrying out denoising processing on the acquired image, and improving the signal-to-noise ratio of the image by adopting adaptive Gaussian filtering and an image enhancement algorithm to obtain a first enhanced image; correcting image blurring caused by high temperature and dynamic change of the surface of the casting blank in the first enhanced image by adopting an optical flow method, and calculating a motion vector of each pixel point in the first enhanced image to obtain a second enhanced image; performing surface defect identification on the enhanced second enhanced image through a convolutional neural network, and determining surface defects on the surface of the casting blank; and determining the size and position of each surface defect based on sub-pixel precision calculation. According to the invention, the detection precision and robustness of the surface defects of the casting blank can be improved.

The invention discloses a method and a device for measuring orthogonality of an orthogonal rotary shaft system, and belongs to the technical field of orthogonal rotary shaft system detection. The orthogonal rotary shaft system comprises a first rotary shaft system and a second rotary shaft system; the method comprises the following steps: carrying out axis inclination angle rotation error measurement and attitude fine adjustment by using a CCD (Charge Coupled Device) double-axis autocollimator, and a cubic reference prism and a double-sided optical flat which are respectively fixed with a first rotation shaft system and a second rotation shaft system; setting a reference cross line XY through the double-sided optical flat by using a second rotary shaft system; the cross curve of the reflected light beam of the cubic reference prism is overlapped with the reference cross curve XY by adjusting the mounting positions of the two rotary shaft systems; and rotating the first rotating shaft system, recording an angular deviation value and calculating an orthogonality value of the two rotating shaft systems. According to the invention, the reference drift error of mutual aiming of the two autocollimators is eliminated, the interference of the rotation error of the shaft system on orthogonality measurement is eliminated, and the precision and reliability of the orthogonality measurement of the shaft system are improved on the whole.

The utility model relates to the technical field of mechanical arm grabbing devices, and discloses a mechanical arm feeding grabbing device based on visual positioning, which comprises a mechanical arm main body, a pneumatic bearing clamp is arranged at the grabbing hand end of the mechanical arm main body, a first CCD (Charge Coupled Device) camera is arranged on the mechanical arm main body, and a material piece to be grabbed is arranged on the side surface of the mechanical arm main body. According to the mechanical arm, the mechanical arm body is matched with the pneumatic bearing clamp, a material piece to be grabbed can be grabbed, in the grabbing process, the first CCD camera is used for photographing, a visual software processing algorithm is used, the position of the material piece to be grabbed is judged, grabbing is accurate, and then the second CCD camera conducts secondary position positioning on the grabbed material piece to be grabbed. The material position deviation coordinate information caused in the grabbing process is calculated and corrected, the grabbing precision is high, the device achieves the secondary visual positioning capacity, the grabbing precision is relatively high, and the production stability and efficiency are improved.

The invention discloses an overlay error real-time correction system based on image recognition and dynamic fitting, and belongs to the field of semiconductor advanced packaging and manufacturing. The system comprises an image acquisition module, an error decoupling module and a dynamic compensation module to form closed-loop control. The image acquisition module adopts a high-resolution linear array CCD (Charge Coupled Device) and an AI (Artificial Intelligence) algorithm to realize high-speed and high-precision mark identification and error quantization; the error decoupling module performs decoupling and trend prediction on system errors and random errors by using PCA, a region weight matrix, LSTM and the like; and the dynamic compensation module realizes mu s-level partition graph compensation by a DMD optical system based on an error thermodynamic diagram through heterogeneous platform operation. The system supports the real-time processing of more than 100Hz, the average overlay error is less than or equal to 0.3 mu m and the response time is less than 5 seconds in the FOPLP and other processes, the problems of lag, low precision and the like of the traditional method are effectively solved, and the manufacturing yield and the production line efficiency are remarkably improved.

The invention relates to the technical field of optical-mechanical system glue application, and discloses a system and a method for testing glue curing shrinkage stability of an optical-mechanical system of a laser machine. The system comprises a pressing and fixing device which comprises a spring, a pull rod, a needle gauge, a pressing piece and a fixing block, and position switching of the needle gauge between the inner surface and the outer surface of the fixing block is achieved by rotating the pull rod head corresponding to the pull rod; the glue curing unit comprises a UV curing device, a precise temperature control heating platform and a moisture curing environment generator; the light source unit comprises a laser light source and a stable support structure with a clearance fit hoop; the optical machine gluing unit comprises a mirror base and a reflecting mirror; the pressing and fixing device is rigidly connected with the optical platform through the aluminum profile portal frame; the data acquisition unit comprises a CCD (charge coupled device) sensor, a three-dimensional adjustable fixing device and an analysis module, and the analysis module generates a multi-dimensional stability index by resolving the time sequence data of the coordinates of the reflected light spots acquired by the CCD sensor in real time so as to complete the glue curing shrinkage stability test.

The invention provides a method for measuring the width of a casting blank by an industrial CCD (Charge Coupled Device) based on AI (Artificial Intelligence), belongs to the technical field of casting blank width measurement, can overcome the problems of low measurement precision, easiness in environmental influence and the like in the prior art by combining an industrial CCD measurement technology with an AI model, and provides a casting blank width measurement method which is more accurate and stable. According to the method, the accuracy and efficiency of measurement can be improved, the dependence of manual operation can be reduced, and the error rate is reduced, so that the requirement of the ferrous metallurgy industry on high-precision measurement is met. In addition, the method is also suitable for other industrial fields requiring high-precision measurement, and has a wide application prospect.

The utility model provides a visual inspection device. The visual inspection device comprises a mounting bracket; the detection assembly comprises a CCD (Charge Coupled Device) camera and a movable frame, and the movable frame is movably arranged on the mounting bracket along the longitudinal direction; the CCD camera is movably arranged on the movable frame along the transverse direction; the illuminator is arranged on the mounting bracket and is used for providing a light source; and the light reflecting assembly is arranged in the shooting direction of the CCD camera, the light reflecting assembly comprises a light reflecting plate and a driver, and the driver is in driving connection with the light reflecting plate. The movable frame moves on the mounting support in the longitudinal direction to drive the CCD camera to move in the longitudinal direction, and the CCD camera moves on the movable frame in the transverse direction, so that the center of the CCD camera is calibrated to coincide with the center of the film pasting station; the light reflecting plate is driven by the driver to move along the vertical direction, so that the reflecting surface of the light reflecting plate can reflect the light onto the wafer, and the accuracy of detecting the film pasting position of the wafer is improved.

The invention discloses an improved self-adaptive CFAR (Constant False Alarm Rate) detection method for defects of worsted wool fabric, and relates to the technical field of defect detection of worsted wool fabric. The invention relates to an improved self-adaptive CFAR (Constant False Alarm Rate) detection method for defects of worsted wool fabric. The method comprises the following steps: shooting a color image of the worsted wool fabric by adopting a CCD (Charge Coupled Device) camera; converting the acquired color image into a grayscale image to obtain a grayscale value of each pixel; traversing the target grayscale image pixel by pixel by using a sliding window type CFAR detector; wherein the sliding window comprises a front edge sliding window and a rear edge sliding window; the combination of the leading edge sliding window and the trailing edge sliding window is used as a reference unit. According to the scheme, through the double-sliding-window structure design and the mean value self-adaptive selection algorithm, the false detection problem of the light and shade junction area is accurately restrained, and the false detection rate is remarkably reduced; the technical bottleneck that the false detection rate is high due to the fact that the fabric is uneven is broken through, double optimization of the false detection rate and the detection rate is achieved in a complex industrial scene, and a reliable technical scheme is provided for intelligent quality inspection of the worsted fabric.

The invention discloses a method for treating high-pressure leached ore pulp, which comprises the following steps of: performing continuous countercurrent washing treatment (CCD) on the high-pressure leached ore pulp to obtain leached ore pulp overflow; a neutralizing agent and the leaching ore pulp overflow are subjected to pre-neutralization treatment, so that pre-neutralized ore pulp is obtained; and the pre-neutralized ore pulp is subjected to iron and aluminum removal treatment, so that iron and aluminum slag and iron and aluminum removed leaching liquid are obtained. According to the method, the laterite-nickel ore is subjected to high-pressure acid leaching treatment to obtain high-pressure leached ore pulp, the high-pressure leached ore pulp is subjected to CCD (Charge Coupled Device), the laterite-nickel ore leached residues are separated into leached ore pulp underflow, and then the leached ore pulp overflow is subjected to pre-neutralization treatment, so that the separation of the laterite-nickel ore leached residues and the pre-neutralized ore pulp is realized; conditions are created for resource utilization of the laterite-nickel ore leaching residues and tailings obtained by further treatment of pre-neutralized ore pulp obtained after pre-neutralization treatment.

The invention relates to the technical field of punching machines, and discloses a CCD automatic pre-alignment inner-layer punching machine for a PCB. The CCD automatic pre-alignment inner-layer punching machine comprises a bottom frame, a bottom plate is fixedly connected to the inner side face of the bottom frame, a top frame is fixedly connected to the upper portion of the bottom frame, a driving mechanism is arranged on the bottom face of the bottom plate, and a punching mechanism is arranged above the bottom plate; a supporting mechanism is arranged below the punching mechanism, and positioning mechanisms are arranged on the left side and the right side of the bottom plate correspondingly. The punching mechanism comprises a moving block, a hydraulic rod is fixedly connected to the bottom face of the moving block, a fixing plate is fixedly connected to the outer wall of the hydraulic rod, four vertical guide rods are fixedly connected to the upper surface of the fixing plate, a sliding plate is slidably connected to the outer surfaces of the vertical guide rods, and an inner cavity pressing rod is fixedly connected to the middle of the sliding plate. According to the automatic tin injection device, the follow-up tin injection step is simplified through automatic tin injection, and the element welding efficiency is improved.

The invention discloses an optical fiber coupling real-time correction method in a single-mode and multi-mode optical fiber endoscopic imaging system, which comprises the following steps of: firstly, manually adjusting reflectors M1 and M2 to an optimal multi-mode optical fiber coupling state, acquiring images of light spots at the near end and the far end of a laser beam in the state by using a CCD (charge coupled device) 1 and a CCD 2, and calculating the position of a central coordinate of the images; and collecting a speckle image formed by the light spot through the scattering medium by using a CCD3 (charge coupled device 3). The system monitors the center coordinates of near-end and far-end light spots at the current moment and the correlation coefficient of the current speckle image and the collimation state image in real time. The piezoelectric mirror bracket is fed back and adjusted in real time through the center coordinates of the two spot light spots and the correlation coefficient of the speckles, so that the correlation coefficient of the speckles is kept above a set threshold value, and automatic calibration of light beams is achieved. On the basis of the traditional thinking that two points determine one straight line, the correlation coefficient of using speckles is increased, the alignment precision is improved, and the method has certain practicability and application prospects.

The utility model provides multifunctional back glue laminating equipment based on CCD (Charge Coupled Device) visual identification, which comprises a controller, a vibrating disk feeding mechanism, a three-axis material conveying mechanism, a first visual identification mechanism, a defective product collecting box, a second visual identification mechanism and a back glue pressing and laminating mechanism, the first visual identification mechanism can identify the appearance of the materials carried by the three-axis material conveying mechanism to determine whether defects exist or not, and the gum pressing and laminating mechanism is provided with a gum laminating position. The product structure has the beneficial effects that the problems of low adhesion efficiency and shielding metal cover defective products existing in a processing mode of a shielding metal cover back glue laminating process in the prior art can be solved, and by using the product structure, the shielding metal cover to be processed can be visually identified and filtered through the first identification mechanism to process the product, so that the product quality is improved. And the second visual identification mechanism can be matched with the three-axis material conveying mechanism for accurate placement, so that the accuracy of back adhesive adhesion is improved, the processing efficiency is improved, and the competitiveness of enterprises is improved.

The invention provides a belt tearing rapid detection and early warning device and method based on artificial intelligence, and relates to the technical field of equipment detection. According to the device provided by the invention, a monitoring unit is arranged at a blanking port, and a high-speed CCD (Charge Coupled Device) camera mounted at a 45-degree elevation angle works cooperatively with a laser transmitter to capture a line laser image at the bottom of a belt in real time; the core technology of the rapid detection and early warning method comprises the following steps: 1) an improved Sobel enhancement operator is used for inhibiting dust and water stain interference while keeping a real edge; 2) performing multi-scale LBP feature analysis, and accurately extracting crack textures in combination with dynamic threshold segmentation; the method comprises the following steps of (1) building a deformation index DI model to realize grading early warning, (2) building a deformation index DI model to realize grading early warning, (3) capturing space-time continuity through a 3D convolution kernel and realizing longitudinal crack detection in cooperation with the curvature quantification model, (3) building a distortion index DI model to realize grading early warning, (4) iron ore field verification shows that the transverse crack detection rate and the longitudinal crack early warning accuracy are both higher than those in the prior art, the false alarm rate in a dust environment is as high as 7%, and material leakage and safety accidents are effectively avoided.

The invention discloses a coaxial laser confocal processing and measurement integrated system and an in-situ morphology measurement method thereof, and belongs to the technical field of ultrafast laser precision processing and in-situ measurement. The system comprises a laser confocal morphology measurement module, an ultrafast laser scanning processing module, a CCD (Charge Coupled Device) microscopic imaging module, a beam splitter prism, a low-pass dichroscope, a long-working-distance achromatic laser processing objective lens and a combined three-axis precision displacement table, the laser confocal morphology measurement module generates a measurement light beam to realize morphology measurement of a sample; the ultrafast laser scanning processing module generates a processing light beam to scan and process the surface of the sample; the CCD microscopic imaging module generates an illumination light beam to realize illumination of a processing position and acquisition of image information of a sample surface; a measurement light beam, a processing light beam and an illumination light beam form coaxial light beams through a low-pass dichroscope, the coaxial light beams are focused at the same position of the surface of a sample through a long-working-distance achromatic laser processing objective lens, and the coaxial in-situ measurement condition is achieved.

The invention discloses a Czochralski silicon single crystal growth process diameter detection system and method based on machine vision. The system comprises an optical data acquisition module, an image processing module, a core detection module and a control output module. The method comprises the following steps: firstly, acquiring a growth image of a crystal in a single crystal furnace through an obliquely mounted CCD (Charge Coupled Device) camera, and synchronously acquiring furnace temperature data and a nominal diameter of the crystal; searching an optimal solution of dynamic multi-region segmentation through a dynamic multi-threshold segmentation unit, extracting a highlight halo from a background, and reconstructing an edge detection model through a four-direction fractional order differential operator; an improved parallel chord center line theorem is adopted to obtain an ellipse center, and a two-stage optimization strategy is adopted to obtain an ellipse diameter; and finally, an effective detection result is output to a control system, and a data packet is uploaded in real time through the industrial Internet of Things gateway. The method is high in measurement precision, high in measurement efficiency and short in consumed time, online detection of the diameter of the 300mm-level crystal is realized, and core technical support is provided for closed-loop control of crystal growth.

The invention discloses a Raman spectrum system application method and system based on ICCD (Intensified Charge Coupled Device) and optical fiber gating, and the method comprises the following steps: S1, a control unit switches the working state of a laser light source to generate laser for exciting a Raman signal of a target tissue; s2, the laser reaches a to-be-detected part through a flexible optical fiber probe, and a control unit switches the working states of a gating unit and an ICCD detector so as to collect a Raman spectrum signal of the target tissue through the optical fiber probe; s3, the control unit outputs the collected Raman spectrum signals to a spectral analysis module, and the spectral analysis module processes the collected Raman spectrum signals based on a built-in deep learning model so as to analyze and evaluate the malignancy degree of the collected tissue. The invention provides a Raman spectrum system application method and system based on ICCD (Intensified Charge Coupled Device) and optical fiber type gating, by combining ICCD and gating technologies, the Raman signal intensity is improved, the fluorescence background is reduced, and the detection sensitivity and efficiency are further improved.

The invention relates to the technical field of visual inspection, and discloses an automatic zongzi sorting device based on visual inspection, the device comprises a conveying belt, the two sides of the conveying belt are both provided with protective plates; a rack is arranged on one protective plate, and a CCD (Charge Coupled Device) camera is arranged on the rack; a defective product protecting and conveying mechanism is arranged on the outer wall of the other protecting plate; and a qualified product protecting and conveying mechanism is arranged at the tail end of the conveying belt. According to the device, the servo gear is meshed with the fluted disc, so that the rotary disc rotates, the CCD camera shoots all-dimensional images of zongzi for detection, the air nozzle blows detected defective zongzi into the defective product protection conveying mechanism, the servo motor drives the conveying belt to operate, and meanwhile, the defective zongzi can be detected. And a spiral conveyor in the defective product spiral conveying cylinder is driven by the first transmission unit to rotate downwards for conveying, so that the situation that the defective rice dumplings directly fall into a basket to cause secondary damage after being rejected is avoided. Intelligent soft sorting of the rice dumplings is achieved, and the production efficiency and the product quality are improved.

The invention provides a method for machining a slotted hole by using a milling cutter, and relates to the technical field of PCB (Printed Circuit Board) machining, and the method comprises the following steps: determining slotted hole design parameters, selecting a matched hard alloy forming milling cutter according to a milling cutter specification experiment table verified by a large number of experiments, accurately calibrating a machining initial position through a CCD (Charge Coupled Device) visual positioning system, and adopting a milling cutter one-time drilling forming process. The method comprises the following steps: continuously cutting by matching with optimized cutting parameters, monitoring a cutting state in real time in a machining process, carrying out multi-dimensional detection on a slotted hole angle, surface flatness and dimensional precision after machining, adjusting parameters by referring to an error recording table when the slotted hole is unqualified, and carrying out re-machining through milling cutter structure optimization, a one-time forming process and standardized parameter matching. According to the invention, the defects of the traditional process are effectively eliminated, the processing specification is unified, the production efficiency and the product percent of pass are improved, the batch production requirements of high-precision PCB products are met, and the technical problems of large slot angle, concave-convex cutting points, uneven quality and the like in the traditional slot cutter processing are solved.

The utility model relates to a threshing and redrying online tobacco leaf structure automatic detection device which is arranged at the rear end of a threshing unit and comprises a low-speed belt conveyor, a vibrating conveyor, a medium-speed belt conveyor, a high-speed belt conveyor, an X-ray imaging device and a CCD (Charge Coupled Device) camera. After the threshing unit, materials (tobacco leaves) enter the low-speed belt conveyor and fall on the vibrating conveyor, the vibrating conveyor further loosens and thinns the materials, then the materials sequentially pass through the medium-speed belt conveyor and the high-speed belt conveyor to achieve the discretization effect, when the materials pass through the medium-speed belt conveyor, first imaging is completed through the X-ray imaging device, and second imaging is completed through the high-speed belt conveyor. And the materials continue to move forwards to enter the high-speed belt conveyor, and secondary imaging is completed through the CCD camera at the moment of leaving the driven roller of the high-speed belt conveyor. The problems that in the production process, the manpower and time cost of quality inspection sampling is too high, and human factor interference possibly exists during manual sampling are solved.

The invention relates to the technical field of biological detection, in particular to a CCD (Charge Coupled Device) multi-wavelength fluorescence microorganism curve analyzer which is mainly used for monitoring and analyzing processes such as growth, metabolism and reaction of microorganisms in real time. According to the analyzer, a CCD (Charge Coupled Device) is adopted as a main detector, so that high-sensitivity and high-resolution detection on fluorescence signals of microorganisms is realized. CCD multi-wavelength fluorescence microorganism curve analysis is jointly formed by integrating an MCU microcontroller, a light path system, a CCD detection module, a motor control module, an automatic temperature control module, a data processing module, a light source driving module, a communication module and an image processing algorithm module. Algorithms of signal enhancement, real-time image analysis, accurate dynamic change capture and the like are introduced in the aspect of image processing algorithms. And accurate real-time monitoring and analysis can be provided. Powerful technical support is provided for research in multiple fields such as microbiological research, environment monitoring, food safety detection and medical diagnosis.

The invention discloses an ocular surface illumination treatment device and method, and belongs to the technical field of ophthalmology medical equipment and treatment. The device comprises an infrared camera module, a computer terminal analysis control module, an optical power detection module, a mechanical adjustment module, a safety switch module and an illumination module. Wherein the infrared camera module comprises an infrared CCD (Charge Coupled Device) camera and a near-infrared light source which are arranged at a preset included angle and can collect eye images and transmit the eye images to the computer terminal, and the highest recording speed of the infrared camera module is not lower than 200 frames per second; and the computer terminal analyzes the image to obtain pupil positions, diameters and distances, and adjusts relative positions of a shielding device and a lens group in the light path of the illumination module, the axis of the light path and the distance between left and right lens cones, so that the central dark area of the annular light spot is matched and overlapped with the pupil. Eye images are collected and processed firstly, then light spots and the lens cone are adjusted, finally phototherapy and real-time monitoring are carried out, light can be prevented from entering the fundus, the treatment safety is improved, and the device is suitable for ocular surface diseases such as xerophthalmia.

The invention provides a hardware stamping part microcrack detection method based on machine vision, which comprises the following steps of: realizing surface fine imaging by using a high-resolution CCD (Charge Coupled Device) camera and a multi-ring LED (Light Emitting Diode) light source, and effectively focusing and improving the feature expression of a microcrack area through multi-stage image preprocessing, feature extraction and a multi-scale attention enhancement mechanism; according to the method, a gating strategy and dynamic feedback adjustment are fused, accurate identification and defect positioning of the microcracks are realized, adaptive optimization of parameter acquisition and feature extraction strategies is supported, the sensitivity and identification accuracy of microcrack detection are improved, false detection and missing detection are reduced, automation of quality closed-loop control is promoted, and the intelligent level of a detection process is improved.

The utility model discloses a CCD visual inspection equipment for outsourcing package detection, which comprises a base, an outsourcing package conveying belt is arranged in the base, protective side edges are fixedly connected to two sides of the outsourcing package conveying belt and are positioned at the top of the base, and four vertical plates are fixedly connected to the top of the base. A top plate is fixedly connected among the tops of the four vertical plates, the bottom of the top plate is rotationally connected with a rotating disc, a rotating assembly is arranged at the top of the top plate and used for driving the rotating disc to rotate, a CCD visual camera is arranged between the rotating disc and the base, and a lifting assembly is arranged on one side of the rotating disc and used for driving the CCD visual camera to move. According to the utility model, the rotating assembly drives the rotating disc to rotate, so that the CCD visual camera arranged below the rotating disc rotates together, and therefore, the comprehensive detection work of the outer package of a product can be conveniently completed in a mode of moving the CCD visual camera, and further, the detection surface is increased, and the detection efficiency is improved.

The invention provides a processing method for large-breadth thick glass, which comprises the following steps: carrying out modification processing on the large-breadth thick glass on the surface of the large-breadth thick glass along a preset processing path by utilizing Bessel laser, dividing the large-breadth thick glass into a plurality of slicing areas by using a side contour cutting line consisting of a micropore array formed on the surface of the large-breadth thick glass; positioning through a CCD (Charge Coupled Device) camera, and carrying out chamfering processing on the modified large-breadth thick glass along a side edge contour cutting line by utilizing a profiling laser beam so as to form a chamfering cutting line which is consistent with the shape of the chamfer of the glass sheet to be obtained on the side edge of each slicing area; positioning through a CCD (Charge Coupled Device) camera, and carrying out splitting along a side contour cutting line by utilizing liquid nitrogen to obtain a plurality of glass sheets; and placing the plurality of glass sheets into an etching solution for chamfering, and etching off waste materials of edge chamfers after sheet cracking along the chamfering cutting lines. Therefore, the cutting and chamfering integration of the large-breadth thick glass is realized.

The invention belongs to the technical field of copper bush feeding, and particularly relates to a copper bush feeding machine capable of distinguishing directions through a CCD. A first mounting plate and a second mounting plate are fixedly connected to the top of the workbench, and a feeding mechanism and a conveying mechanism are arranged at the top of the first mounting plate; a detection mechanism and a sorting mechanism are arranged on the second mounting plate; if the direction of the copper sleeve is consistent with the set direction, a CCD camera transmits a signal to a control system, the control system controls a driving motor to drive a rotating block to clockwise rotate by 90 degrees, and the output end of a third air cylinder pushes the copper sleeve to the next station through a third conveying groove; if the direction of the copper sleeve is opposite to the set direction, the driving motor drives the rotating block to anticlockwise rotate by 90 degrees, and the output end of the second air cylinder pushes the copper sleeve to the next station through the third conveying groove; and if the copper bushes are identified as unqualified products, the output end of the second air cylinder pushes the copper bushes into a waste box through a discharging groove, and the sorting function is achieved.

The utility model relates to the technical field of LCD (Liquid Crystal Display) defect detection, in particular to laptop LCD defect detection equipment, which comprises a rack, a cabinet body, a CCD (Charge Coupled Device) camera, a light source lamp, a positioning component, a conveying component and a lightening component, the rack is used for supporting, the cabinet body is covered on the outer side of the CCD camera, the light source lamp provides a light source for photographing of the CCD camera, the conveying component conveys a laptop to a photographing position of the CCD camera, and the lightening component is used for lightening the laptop. The positioning component is used for positioning the position of the notebook computer, the lightening component is used for lightening the LCD of the notebook computer, the CCD camera is used for acquiring LCD image information and uploading the LCD image information to the control center, and the control center is used for detecting defective products of the LCD by utilizing intelligent template matching software based on deep learning, that is, the software detects defects through gray difference. Complicated hardware adjustment and calibration processes are not involved, and the complexity of operation and maintenance is reduced compared with a method using a linear array scanning camera and matched hardware.

The invention provides a wafer dark crack-based partition cutting method and a chip unit, the wafer dark crack-based partition cutting method comprises the following steps: providing a glass carrying table and a CCD (Charge Coupled Device), and setting a light source; acquiring a grayscale image of the wafer to be cut through the CCD; judging whether dark cracks exist in the to-be-cut wafer or not; a personnel instruction is obtained, and if the personnel instruction is a first instruction, a plurality of cutting channels are obtained; dividing the to-be-cut wafer into a plurality of areas based on the dark crack line segments and the plurality of cutting channels; and the interiors of the multiple areas are cut in sequence. An image is recognized through a CCD, the image is processed into a gray level image, whether dark cracks exist or not is detected through gray level difference, for the condition that the dark cracks exist, a wafer to be cut is partitioned, a plurality of areas are cut respectively, and a machine is prevented from cutting a plurality of chip units which are arranged irregularly due to dislocation caused by the dark cracks.

The invention discloses copper column CCD inspection equipment, and particularly relates to the field of copper column measurement, the copper column CCD inspection equipment comprises a box body, a workbench is fixedly arranged on the box body, the copper column CCD inspection equipment further comprises a transferring assembly, a measuring assembly and an anti-interference assembly, the transferring assembly is used for transferring a copper column and the measuring assembly, the measuring assembly comprises a plurality of cameras arranged on a supporting frame and the box body respectively, and the cameras are arranged on the supporting frame and the box body respectively. The measuring assembly is used for measuring the copper column, the anti-interference assembly comprises a first shielding piece and a second shielding piece, and the first shielding piece and the second shielding piece are both used for shielding the copper column. Different positions of the copper column are shielded at different time through the first shielding piece and the second shielding piece, and meanwhile the angle of a triangular prism is adjusted, so that the copper column can be accurately measured. Only the position needing to be reflected is reflected, the threaded hole, the chamfer, the long hole and the step of the copper cylinder can be rapidly measured respectively, and the measurement efficiency and accuracy of the copper cylinder are improved.

The invention belongs to the technical field of intelligent sensors, and particularly relates to a high-precision area array 4D imaging optical method and system based on coherent detection. The method specifically comprises the following steps of: generating a step frequency signal by using an arbitrary waveform generator, loading the step frequency signal on an electro-optical modulator, and modulating a light beam output by a laser; the modulated laser is divided into reflected light and reference light, and the reflected light is reflected by an object to be detected and then enters the area array optical imaging device together with the reference light; the area array optical imaging device comprises a space bridge and a CCD (Charge Coupled Device) photosensitive area, the space bridge splits incident light into four paths through beam splitting control, and the space bridge regulates and controls the polarization state of the incident light, so that a phase difference exists between reference light and reflected light in each path of light beam; coherent processing is carried out on multiple frames of voltage data in each pixel, and the linear frequency modulation rate is calculated; and calculating the speed and position of each pixel target based on the linear frequency modulation rate to realize 4D high-precision imaging of the target.