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9082 results about "Image analysis" patented technology

Image analysis is the extraction of meaningful information from images; mainly from digital images by means of digital image processing techniques. Image analysis tasks can be as simple as reading bar coded tags or as sophisticated as identifying a person from their face.

Auto-exposure method using continuous video frames under controlled illumination

An adaptive strobe illumination control process for use in a digital image capture and processing system. In general, the process involves: (i) illuminating an object in the field of view (FOV) with several different pulses of strobe (i.e. stroboscopic) illumination over a pair of consecutive video image frames; (ii) detecting digital images of the illuminated object over these consecutive image frames; and (iii) decode processing the digital images in an effort to read a code symbol graphically encoded therein. In a first illustrative embodiment, upon failure to read a code symbol graphically encoded in one of the first and second images, these digital images are analyzed in real-time, and based on the results of this real-time image analysis, the exposure time (i.e. photonic integration time interval) is automatically adjusted during subsequent image frames (i.e. image acquisition cycles) according to the principles of the present disclosure. In a second illustrative embodiment, upon failure to read a code symbol graphically encoded in one of the first and second images, these digital images are analyzed in real-time, and based on the results of this real-time image analysis, the energy level of the strobe illumination is automatically adjusted during subsequent image frames (i.e. image acquisition cycles) according to the principles of the present disclosure.
Owner:METROLOGIC INSTR

Planogram Extraction Based On Image Processing

Image analysis techniques, including object recognition analysis, are applied to images obtained by one or more image capture devices deployed within inventory environments. The object recognition analysis provides object recognition data (that may include one or more recognized product instances) based on stored product (training) images. In turn, a variety of functionalities may be enabled based on the object recognition data. For example, a planogram may be extracted and compared to a target planogram, or at least one product display parameter for a product can be determined and used to assess presence of the product within the inventory environment, or to determine compliance of display of the product with a promotional objective. In yet another embodiment, comparisons may be made within a single image or between multiple images over time to detect potential conditions requiring response. In this manner, efficiency and effectiveness of many previously manually-implemented tasks may be improved.
Owner:ACCENTURE GLOBAL SERVICES LTD

Apparatuses and methods for mobile imaging and analysis

Apparatuses and methods for mobile imaging and image analysis. In particular, described herein are methods and apparatuses for assisting in the acquisition and analysis of images of the tympanic membrane to provide information that may be helpful in the understanding and management of disease, such ear infection (acute otitis media). These apparatuses may guide or direct a subject in taking an image of a tympanic membrane, including automatically detecting which direction to adjust the position of the apparatus to capture an image of the tympanic membrane and automatically indicating when the tympanic membrane has been imaged.
Owner:JOHNSON & JOHNSON CONSUMER COPANIES

Visual recognition and positioning method for robot intelligent capture application

The invention relates to a visual recognition and positioning method for robot intelligent capture application. According to the method, an RGB-D scene image is collected, a supervised and trained deep convolutional neural network is utilized to recognize the category of a target contained in a color image and a corresponding position region, the pose state of the target is analyzed in combinationwith a deep image, pose information needed by a controller is obtained through coordinate transformation, and visual recognition and positioning are completed. Through the method, the double functions of recognition and positioning can be achieved just through a single visual sensor, the existing target detection process is simplified, and application cost is saved. Meanwhile, a deep convolutional neural network is adopted to obtain image features through learning, the method has high robustness on multiple kinds of environment interference such as target random placement, image viewing anglechanging and illumination background interference, and recognition and positioning accuracy under complicated working conditions is improved. Besides, through the positioning method, exact pose information can be further obtained on the basis of determining object spatial position distribution, and strategy planning of intelligent capture is promoted.
Owner:合肥哈工慧拣智能科技有限公司

Method and system for automatically analyzing categories in a physical space based on the visual characterization of people

ActiveUS20080159634A1Minimizing number of productMinimizing shelf spaceCharacter and pattern recognitionVisual technologyPhysical space
The present invention is a method and system for automatically analyzing a category in a plurality of the categories in a physical space based on the visual characterization, such as behavior analysis or segmentation, of the persons with regard to the category. The present invention captures a plurality of input images of the persons in the category by a plurality of means for capturing images. The present invention processes the plurality of input images in order to understand the shopping behavior of the persons with the sub-categories of the category and analyzes the level of engagement and decision process at the sub-category level. The processes are based on a novel usage of a plurality of computer vision technologies to analyze the visual characterization of the persons from the plurality of input images. The physical space may be a retail space, and the persons may be customers in the retail space.
Owner:VIDEOMINING CORP
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