16 results about "Machine vision" patented technology

The invention relates to an uncalibration machine vision-based intelligent navigation control system and an uncalibration machine vision-based intelligent navigation control method, and belongs to the technical field of automation and detection. In order to overcome the disadvantage that whether a technical effect is good or bad depends on uncalibration parameters in a conventional scheme, in vision system-based mobile robot real-time obstacle avoidance and a navigation control method in the technical scheme of the invention, an image is automatically acquired and analyzed for the purpose of realizing the control of a mobile robot platform; the image is processed rapidly from image feedback information obtained directly by utilizing the principal of machine vision; and feedback information is given in a time as short as possible for participating in the generation of a control decision so as to form the position closed-loop control of an end effector of the mobile robot. The scheme improves the adaptability and the work efficiency of a robot, effectively maintains the speed and the precision in an image processing process, enhances the robustness and the stability of a robot control system, and reduces cost input and energy consumption in an implementation process of the technical scheme.

A multiprocessor system includes a main memory and multiple processing cores that are configured to execute software that uses data stored in the main memory. In some embodiments, the multiprocessor system includes a data streaming unit, which is connected between the processing cores and the main memory and is configured to pre-fetch the data from the main memory for use by the multiple processing cores. In some embodiments, the multiprocessor system includes a scratch-pad processing unit, which is connected to the processing cores and is configured to execute, on behalf of the multiple processing cores, a selected part of the software that causes two or more of the processing cores to access concurrently a given item of data.

The invention discloses a machine vision-based spatial position detection system for automobile wheel planes and rims in the field of automobile industry, and aims to solve the problem that spatial positions of the automobile wheel planes and rims cannot be measured. The system comprises a first camera (1), a first line laser (2), a second line laser (3), a third line laser (4), a laser positioning seat (5), a third positioning bolt (6), a second positioning bolt (7), a first positioning bolt (8), longitudinal bubbles (9), a second camera (10), a camera frame (11), a base (12), transverse bubbles (13) and a bottom plate (14). The detection system can finish non-contact and automatic detection of the spatial positions of the automobile wheel planes and rims.

The invention relates to a method of machine visional detecting system that real time online detects and grades, which comprises the modules of the high-quality image obtaining, the image dynamic exchange under external trigger control and the image processing. The three modules are orderly connected by image vision data signals. The said high-quality image obtaining module includes the original image collecting module using real time screening method, Bayer conversion module decoding the collected colorful codes and Gamma correction module carrying out linear treatment to data. The said image dynamic exchange module under external trigger control through camera screening, image processing module and deleting operation of buffering area realizes the non-stop detecting to trigger interface; the said image processing module contains vision background dividing, image fast dividing and orderly storing modules. The invention can comprehensively judge the grade of each fruit and ensure the position information of every fruit and provide the judging foundations to the appearance quality online detecting of fruits.

The invention discloses a clutch main cylinder groove surface defect detection method based on deep learning. Deep learning and defect recognition are combined to achieve high-precision and high-efficiency automatic detection. A multi-scale feature fusion pyramid network is adopted to extract defect features more accurately, and autonomous learning is carried out; a single-target FCOS convolutional neural network is adopted as a detection network model, dependence on an anchor box and a feature candidate region is avoided, the network model is simplified, and the network training speed is increased; experimental results show that the effect of the defect detection algorithm based on deep learning is superior to that of a traditional manual detection method and a machine vision detection method, and the time requirement and precision of defect detection of the clutch main cylinder inner groove on an industrial production line are met; defects generated in the production process of the clutch main cylinder inner groove can be rapidly and accurately detected, the production efficiency of a factory is improved, and the practical significance is achieved.

The invention relates to a dynamic configuration method of machine vision software and a computer. The machine vision software comprises an image acquisition module, at least two image processing modules for achieving a certain image processing function, different image processing modules for realizing different image processing functions, and at least one data output module for outputting data obtained by processing image information through the image processing modules, and a plurality of directed connection units. The image acquisition module, the image processing module and the data outputmodule have an input interface and an output interface with the same preset standard; the image acquisition module, the image processing module and the data output module are dynamically configured according to image processing requirements, and the configured modules are sequentially connected through the directed connection units to form a directed graph capable of meeting the image processingrequirements. The directed acyclic graph data flow method is applied to the machine vision software, so that the expansibility of a software framework is improved, and the flexibility, stability and real-time performance required by a software user can be met.

The invention discloses a welding spot appearance detection method based on machine vision, belongs to the technical field of welding spot appearance detection and discloses a welding spot appearancedetection method based on machine vision. The method comprises the following steps, firstly, a to-be-detected workpiece is fixed on a conveyor belt; a technician adjusts the positions of the workpieceand the camera; the high-definition camera is close to a workpiece welding spot; then the high-definition camera exposes the workpiece for multiple times to obtain a plurality of high-definition images at the welding spots and transmits the high-definition images to the computer; image processing, the image analysis module performs comparative analysis on the processed image and the template image; when the difference degree between the workpiece image and the template is relatively large; the image analysis module sends an analysis result to the alarm module, Meanwhile, the image analysis module sends the analysis result to a technician, so that welding spot images of a workpiece can be conveniently collected, and an accurate welding spot appearance analysis result can be obtained by comparing and analyzing the welding spot images of different sizes with corresponding templates.

The invention discloses a telephone screen printing quality detection method and a system. The method comprises the following steps: obtaining a to-be-detected telephone picture and a screen printingtemplate set corresponding to a to-be-detected telephone model; wherein the screen printing template set comprises a plurality of screen printing templates, and the screen printing templates comprisetemplate original image information; carrying out contour matching on a silk-screen template in the silk-screen template set and a telephone picture, and positioning a matching image matched with silk-screen in the template original picture in the telephone picture; and carrying out image processing on the matching image and the template original image, comparing, and outputting whether the silk screen in the matching image is qualified or not. Automatic detection of the telephone screen printing quality is realized based on the machine vision and the image algorithm so that the detection quality can be enhanced, the product quality can be guaranteed, the production efficiency can be enhanced and the labor cost can be reduced.

The invention relates to a worm-eaten sunflower seed sorting unit, which includes driving devices, sunflower seed delivery devices, manipulator sorting devices, visual identifying devices, air injection sorting devices and spraying cleaning devices. According to the invention, worn-eaten sunflower seeds are identified through methods of machine vision and image processing, and are efficiently sorted through the delivery devices and sorting devices; seed turning devices can be used for turning over all the seeds accurately; the adopted two sets of independent image acquisition systems can be used for image acquisition of two arc characteristic faces of sunflower seeds in the same batch, and guarantee that all the seeds with worm-eaten characteristics are identified; the adopted two sets of independent and different worn-eaten sunflower seed sorting mechanisms matched with two sets of independent visual identifying systems can be used for sorting the identified worm-eaten sunflower seeds; therefore, the worm-eaten sunflower seed sorting unit has the advantages of excellent sorting effect and universality as well as high working efficiency.

The invention discloses an intelligent production and detection control system for an electromagnetic coil and a method thereof. The system comprises a main controller, an electromagnetic coil intelligent production device and an electromagnetic coil intelligent detection device, wherein the electromagnetic coil intelligent production device comprises a raw material storage area, a raw material access module and a conveyor belt module; the electromagnetic coil intelligent detection device comprises a sensor module, a machine vision module and a coil resistance detection module; and the raw material storage area, the raw material access module, the conveyor belt module, the sensor module, the machine vision module and the coil resistance detection module are connected with the main controller respectively. The system and the method have the beneficial effects that production detection and quality detection on the electromagnetic coil can be realized at the same time; and electromagnetic coil raw material quality detection, electromagnetic coil finished product width detection, the thickness detection, the weight detection, the finished product resistance detection and the whole product quality detection can be realized.