139 results about "Automated optical inspection" patented technology

An automated optical inspection system includes a plurality of asynchronously triggerable cameras for providing image data of an object, such as a printed circuit board. The circuit board is divided into fields of view that are to be imaged in one or more cameras in one or more lighting modes. Each location on the board can be imaged by each camera in a plurality of lighting modes in a single pass across the board. The image data for each of the cameras can be concurrently transferred directly to main memory for opportunistic analysis by the main computer. The system allows the full bandwidth of the cameras to be utilized for reducing the inspection time of the board.

This invention discloses a method for determining a location of a border in a color image, the image comprising at least two color populations, between a first color region associated with a first one of the two color populations and a second color region associated with a second one of the two color populations, both the first color region and the second color region being comprised in the color image, the method includes identifying an approximate border location between the first color region and the second color region, determining a plurality of candidate border locations between the first color region and the second color region, each of the plurality of candidate border locations being determined by applying a corresponding border location method chosen from among a plurality of border location methods, choosing one method from among the plurality of border location methods as a preferred method, and determining a location of a border between the first color region and the second color region by designating one of the plurality of candidate border locations associated with the preferred method as the border. An automated optical inspection device suitable for inspection of patterned articles is also disclosed.

Internal components of power generation machinery, such as gas and steam turbines are inspected with an optical camera inspection system that is capable of automatically positioning the camera field of view (FOV) to an area of interest within the machinery along a pre-designated navigation path and capturing images without human intervention. Automatic camera positioning and image capture can be initiated automatically or after receipt of operator permission. The pre-designated navigation path can be defined by operator manual positioning of an inspection scope within the power machine or a similar one of the same type and recording of positioning steps for future replication. The navigation path can also be defined by virtual simulation.

Internal components of power generation machinery, such as gas and steam turbines are inspected with an optical camera inspection system that is capable of automatically positioning the camera field of view (FOV) to an area of interest within the machinery along a pre-designated navigation path and capturing images without human intervention. Automatic camera positioning and image capture can be initiated automatically or after receipt of operator permission. The pre-designated navigation path can be defined by operator manual positioning of an inspection scope within the power machine or a similar one of the same type and recording of positioning steps for future replication. The navigation path can also be defined by virtual simulation. The inspection system includes a multi-axis inspection scope suitable for inspection within the turbine section of a gas turbine.

The present invention is an automated optical inspection method using deep learning, comprising the steps of: providing a plurality of paired image combinations, wherein each said paired image combination includes at least one defect-free image and at least one defect-containing image corresponding to the defect-free image; providing a convolutional neural network to start a training mode of the convolutional neural network; inputting the plurality of paired image combinations into the convolutional neural network, and adjusting a weight of at least one fully connected layer of the convolutional neural network through backpropagation to complete the training mode of the convolutional neural network; and performing an optical inspection process using the trained convolutional neural network.

The invention relates to the technical field of automated optical inspection of LCD (liquid crystal display) modules, in particular to an automated optical inspection device for defect inspection of an LCD module and an automated optical inspection method for the defect inspection of the LCD module. The device comprises a central control processing unit, an image acquisition module, an image processing module and a PG (Pattern Generate) module. The method comprises the following steps of receiving a PG configuration parameter and a camera configuration parameter, lighting up modules according to the PG configuration parameter, configuring a camera according to the camera configuration parameter, controlling the camera to shoot an module image and collect the shot image, performing image processing and defect inspection on the collected original image, and outputting a defect inspection result and processed image data. The device and the method provided by the invention have the advantages that the image acquisition module, the PG module and the image processing module are integrated on an FPGA (Field Programmable Gate Array), and the whole testing process is performed based on the FPGA, so that the system integration degree is improved, the interaction complexity is lowered, the real-time processing performance is improved, the defect inspection time is shortened, the system stability is greatly improved, the inspection time is shortened, and the factory production efficiency is improved.

The invention discloses an AOI (Automated Optical Inspection) station capable of conveying and automatically loading and unloading PCBs (Printed Circuit Board) in parallel by two lines. The AOI station comprises two parallel PCB feeding conveyor line and a discharging conveyor line group, wherein an automated optical inspector is arranged on each of the two sides of the discharging conveyor line group; a horizontal table is arranged at a feed opening of each automated optical inspector; a discharge opening of one PCB feeding conveyor line is jointed to one horizontal table, and a discharge opening of the other PCB feeding conveyor line is jointed to the other horizontal table; a multi-joint carrying mechanical hand is arranged between the two PCB feeding conveyor lines. The AOI station is simple in structure, the PCBs are easily taken and placed, labor is reduced, and the machining efficiency of the PCBs is improved.

A novel wafer or circuit board automatic scanning optical inspection system and technique using the reference comparison principle for finding defects in scanned sample images, that enables a new degree of universality in finding all defects including very small single pixel conductor breaks and shorts and defects of irregular shapes, and together with simultaneous design rule processing, through the use of processed skeletal reference images and with separately programmable alignment tolerance and detection parameters.

In an inspection system for electrical and electro-optical inspection of TFT-LCD panels, a fine resolution area imaging camera with a pulse illumination source disposed to scan the region and operative capture images of the region illuminated with pulses of short illumination and automatically maintained in focus while continuously scanning in order to resolve points of defects.

The invention belongs to the field of a photoelectric technology, and specifically discloses a night image characteristic extraction method in an intelligent vehicle-mounted anti-collision pre-warning system. The night image characteristic extraction method comprises the following steps of: selecting an automobile tail light as characteristics to be extracted, and then canceling noises of images, carrying out image edge clearness, selecting threshold value and carrying out threshold segmentation by using a series of image processing methods; and selecting an interested region AOI (Automated Optical Inspection) when the characteristics of the automobile tail light are extracted and paired, and expressing a target automobile by a rectangular frame and deducing a distance measuring formula through modeling and a series of transformations after extracting and paring the characteristics of the automobile tail light. According to the night image characteristic extraction method, the characteristics of the automobile tail light are highlighted, extracted and paired by a series of image processing methods so as to locate the special location of a front automobile in a lane and provide reliable data for the intelligent vehicle-mounted anti-collision pre-warning system which calculates the distance between the front automobile and the automobile.

The invention discloses an automatic plate feeding and discharging system for double-faced AOI (Automated Optical Inspection) of a circuit board. The automatic plate feeding and discharging system comprises a robot device, a feeding and discharging device, a double-faced dust sticking machine, a transferring device, an AOI machine, a butt joint device and a general control system for controlling the equipment to work, wherein the robot device is provided with robot mechanical arms; the double-faced dust sticking machine is located beside the feeding and discharging device; the transferring device is arranged above the feeding and discharging device and the double-faced dust sticking machine; the AOI machine comprises a face A detection and a face B detection machine; detection openings of the face A detection and the face B detection machine are opposite to the feeding and discharging device and the double-faced dust sticking machine; the robot device is located between the face A detection and the face B detection machine; and the butt joint device is located on one side of the face B detection machine and can be in up-down butt joint with the robot mechanical arms. The butt joint device can be in up-down butt joint with the robot mechanical arms so that time consumed by a plate overturning procedure is saved, and furthermore, a whole production process has relatively rapid efficiency; and the structure is compact so that the occupied area of equipment is reduced.

An optical inspection system with an improved illumination system. The improved illumination system used to illustrate the invention has a base formed from a printed circuit board. Substrates for mounting lighting elements, which are exemplified by light emitting diodes, are formed also on printed circuit boards. These circuit boards have serrated edges and the diodes are mounted to the serrations. This configuration allows the light emitting elements to be focused on the focal point. Also in the exemplary illumination system, the light emitting elements have different beam widths so that variations in the illumination intensity as a function of elevation angle are reduced.

A system and method for performing optical inspection are provided. At least one “invariant feature” of an object design is determined, and such invariant feature is used in inspecting objects having the corresponding design. An “invariant feature” is a feature that is invariant certain transformations occurring in a captured image of an object under inspection, such as brightness, color, and/or other transformations in the captured image. Accordingly, an inspection template may comprise information corresponding to at least one pre-selected invariant feature of an object's design. In certain embodiments, the template is a shape description of a feature that provides an intrinsic invariance to a specified set of basic transformations. Accordingly, the amount of pixel values stored in a template may be minimized, which minimizes the number of pixel comparisons made between a captured image of the object under inspection and the inspection template during the inspection analysis.

An automated optical inspection system for the runout tolerance of circular saw blades comprises a rotating device, a first and a second optical inspection module, and a computing device. The rotating device is used to rotate a circular saw blade. The circular saw blade includes multiple teeth, and each tooth has a side and a back. The first/second optical inspection module is used to capture a side/back image of the tooth. The computing device activates the rotating device to rotate the circular saw blade, and activates the first and the second optical inspection module to capture the side image and the back image of each tooth upon rotation of the circular saw blade. The computing device performs a radial-position-calculating procedure according to the side images, to obtain an amount of radial runout, and performs an axial-position-calculating procedure according to the back images, to obtain an amount of axial runout.

The invention discloses a method for determining the performance of automatic optical detection equipment and a standard film, which are used for enhancing the inspection correctness of a printed circuit board (PCB). The method comprises the following steps of: providing the standard film which comprises at least one preset circuit, wherein at least one preset defect is formed on the preset circuit; inspecting the standard film through automated optical inspection (AOI) equipment and determining an actual measurement defect existing in the standard film through the AOI equipment; and comparing the actual measurement defect inspected by the AOI equipment with the preset defect and determining whether the AOI equipment should be corrected or not according to a comparison result. Due to the adoption of the technical scheme, the inspection correctness and stability of the AOI equipment are ensured and the inspection correctness of the PCB is enhanced.

The invention discloses a copper foil clad laminated board with UV shielding function and a preparation method thereof, and a copper foil clad laminated board adhesive and a preparation method thereof. The copper foil clad laminated board adhesive disclosed by the invention comprises the following components in parts by mass: 125-150 parts of resin, 25-42 parts of solvent, 2.1-3.6 parts of curing agent, 0.2-1.0 part of UV absorbent, 0.2-1.0 part of fluorescent whitening agent and 25-75 parts of auxiliary packing. The copper foil clad laminated board disclosed by the invention has various natural colors, and can satisfy diversified options for high-performance UV-shielding copper foil clad laminated boards; and meanwhile, the copper foil clad laminated board has excellent UV shielding function (the UV absorptivity exceeds 99.99%) and weather resistance, and is completely suitable for the development process of the PCB (printed circuit board) processing procedure and the AOI (automated optical inspection) detection technique of high-density integrated circuits. The preparation method of the copper foil clad laminated board has the characteristics of simple technique, favorable controllability, cost saving and the like.

The invention discloses a detection mechanism with a side light source configured for an annular light source and a backlight source for AOI (Automated Optical Inspection) visual inspection. The detection mechanism comprises a stand and a CCD (Charge Coupled Device) camera. The stand is provided with a support frame, wherein the top of the stand is provided with a mounting rack for fixing a product to be detected, the backlight source is arranged under the product to be detected relative to the stand, the CCD camera comprises a central view CCD camera positioned right above a detection area and a side view CCD camera positioned on the side surface of the detection area, the annular light source is fixedly installed below a camera lens of the center view CCD camera, the stand is provided with high-angle strip-shaped light sources for lighting towards the detection area respectively above the left and right sides of the support frame, and the heights of the center view CCD camera and the side view CCD camera can be adjusted up and down relative to the stand through a corresponding up-and-down sliding mechanism. The detection mechanism can solve the problem that the lighting is insufficient and uneven during AOI visual inspection.

The invention provides a system and a method for detecting defects of blind holes in a PCB (Printed Circuit Board) bare board based on AOI (Automated Optical Inspection). The system and the method are used for solving the technical problem of low detection accuracy of blind holes in dark in the existing detection system and method. The detection system comprises an image acquisition unit, an image preprocessing unit, a file preprocessing unit, a parameter reading unit, a blind hole detection unit and an error calculation unit; and the method comprises the steps of firstly, acquiring a scan image of a PCB bare board to be detected, preprocessing the scan image to obtain a binary image, then reading design file information of a standard PCB bare board, detecting coordinates and radii of all blind holes in the binary image according to the design file information of the standard PCB bare board, and finally calculating errors of all blind holes on the scan image of the PCB bare board to be detected. The detection accuracy in dark is high, the cost of the system is low, and the system and the method can be used for detecting defects of blind holes in circuit board machining environments.

The present invention relates to a visual inspection system for automotive piston assembly quality, which belongs to the technical field of automated optical inspection. The visual inspection system comprises a piston feeding mechanism, a piston discharging mechanism, a piston detection mechanism and a PLC (programmable logical controller) control module, the PLC control module is connected with the piston feeding mechanism and the piston discharging mechanism through communication lines of an I/O (input/output) port and is used for outputting control commands and receiving work piece in-place signals, and the piston detection mechanism is arranged between the piston feeding mechanism and the piston discharging mechanism and just faces to a piston to be detected, is also connected with the PLC control module and is used for transmitting detection information. The visual inspection system can realize one-step automatic visual inspection of characters on the top surface of the automotive piston, the assembly of a piston ring, the integrity of a graphite layer and the like based on digital images.