42results about How to "Improve recognition quality" patented technology

In a method and a device for traffic sign recognition, at least one significant feature for a traffic sign is determined which is standardized for a region. The region that corresponds to the determined feature is determined. At least one classification feature and / or at least one classification method is defined depending on the determined region for the recognition of the traffic sign and / or at least one further traffic sign. The recognition of the traffic sign and / or the at least one further traffic sign is performed by using the defined classification feature and / or the defined classification method.

An arrangement for the optical evaluation of harvested crop in a harvesting machine includes a camera located for taking images of threshed out crop elements (grain and material other than grain) being conveyed within a channel of the machine. An electronic image processing system receives the images and identifies individual objects in the images, these objects being classified into predetermined object classes by way of comparing at least one of color, contour or texture features of the individual objects and corresponding characteristics of reference objects filed in a data bank. The processing system then determines the absolute or relative numbers or areas of the individual objects assigned to the respective object classes.

The invention provides a method for identifying a character in an image. The method is characterized by comprising the following steps: S1, longitudinally projecting a binary image acquired by the image; S2, segmenting the image for the first time according to the longitudinally projected projection value and a first preset threshold value to acquire character width; and S3, segmenting the image for the second time according to the character width. By the method for identifying the character in the image, the character can be identified from the image well and accurately, the identification quality is high, the identification process is easy to implement, and system resources are saved.

In a method and a device for traffic sign recognition, at least one significant feature for a traffic sign is determined which is standardized for a region. The region that corresponds to the determined feature is determined. At least one classification feature and / or at least one classification method is defined depending on the determined region for the recognition of the traffic sign and / or at least one further traffic sign. The recognition of the traffic sign and / or the at least one further traffic sign is performed by using the defined classification feature and / or the defined classification method.

The invention provides a method for automatically recognizing taxus cuspidata in high-resolution remote sensing images. The method has the advantages that only few ground samples are needed for high-accuracy recognition of the taxus cuspidata in the high-resolution remote sensing images, the advantages of low cost and wide coverage of the remote sensing images are fully utilized, the taxus cuspidata can be recognized from the remote sensing images on the basis of the few samples according to its unique features, high recognition quality is acquired, and accordingly, high social and economic value is achieved.

The invention provides a power transformation equipment data management system based on image information recognition, and the system comprises an image information recognition module disposed on power equipment, and a terminal machine module connected with the image information recognition module. The image information recognition module comprises an image information unit, a management information unit and a fault alarm unit, wherein the fault alarm unit is connected with the image information unit and the management information unit. The image information unit comprises a visible light camera and a multispectral sensor group based on spectral image processing, and the management information unit includes a scanner and a read / write module connected with the scanner. The system can employa multispectral biological recognition technology system, which can be connected with a central control system host of a transformer substation and can achieve the bidirectional communication, the equipment information recognition technology and the access control technology for the identity recognition of a persona and the equipment information recognition through a spectrum algorithm, avoids the illegal access, and achieves the management and control of equipment.

The present invention relates to an e-reader audience fatigue analysis platform that avoids damage to the eyes of parturients. The e-reader audience fatigue analysis platform includes: a facial image capture device embedded in the front frame of the e-reader, It is used to capture the image data of the face of the viewer of the e-reader, so as to obtain and output a high-definition face image.

The invention discloses a machine and depth vision fusion-based weld ultrasonic image defect identification method. The method comprises the following steps of performing ultrasonic imaging on a to-be-detected object by utilizing ultrasonic detection equipment; a defect labeling model is used for automatically positioning a welding seam area of the ultrasonic detection image; obtaining texture feature data of a weld seam image in the defect labeling image by using an image recognition technology, and performing category recognition on the texture feature data through a collaborative algorithm; and outputting an identification result to a front-end interface, and automatically describing the shape of the weld joint by utilizing cartographic software to realize weld joint defect identification of the to-be-detected object. According to the method, the defect area can be automatically positioned, various weld defects can be identified, the weld defect identification quality can be effectively improved, the identification speed can be increased, the dependence on artificial experience can be effectively reduced, the labor cost can be reduced, the identification process can be visualized step by step, the identification quality can be improved, the identification process can be obviously accelerated, and the identification efficiency can be improved. And the robot welding process speed is met.

The invention relates to a method for preventing the eyes of a puerperal from being injured. The method comprises the step that an electronic reader audience fatigue analysis platform is used for immediately analyzing the electronic reader audience fatigue and giving an alarm based on a self-adaption deep neural network, wherein the electronic reader audience fatigue analysis platform comprises face image capturing equipment which is embedded into a front frame of an electronic reader and used for carrying out image data capturing on the face of an audience of the electronic reader to obtain and output a high-definition face image.

The invention relates to a color difference analytical device based on an image recognition technology. The color difference analytical device comprises a rack and is characterized in that a hollow photo studio is arranged on the rack, a digital camera for shooting workpieces is arranged in the photo studio and connected with an image analysis device for image color difference analysis, and a feeding device for feeding the workpieces into the photo studio and a discharging device for discharging the workpieces are disposed on a table. According to the color difference analytical device, defects in the background art are overcome, color difference analysis of digital images is performed on the workpieces by using the digital image recognition technology, and automatic feeding and discharging devices are designed for automatic feeding and classified discharging work after recognition. Compared with the existing detection means, the color difference analytical device has the advantages of high efficiency and recognition quality and the like.

The invention relates to an automatic detection method for an airport of a large-size space-borne SAR image, which comprises the following steps of: A, performing SAR image segmentation based on a maximum posterior probability criterion; B, extracting interesting targets according to the pixel intensity and the area of the airport; C, extracting dimensions and rotary invariable parameters of the interesting targets; D, training a support vector machine classifier according to the dimensions and the rotary invariable parameters of the interesting targets, and classifying the interesting targets to obtain an initial detection result; and E, performing parallel runway detection on the initial detection result, and retaining the targets with parallel runways as final detection results. Compared with the prior art, the method has the advantages of high identification speed, good identification quality and high identification accuracy rate.