Ncr Corporation

Jianzhong Huang

Dinei A Florencio

Ralph N Crabtree

Barry D Briggs

Calvin L Espy

John C Ming

Antai Peng

Junhoy Kim

Dinei A F Florencio

A system and method for detecting hand and item movement patterns comprising a video camera positioned to view a scene which includes therein a scanner for scanning items, wherein the video camera generates a sequence of video frames representing activity in the scene, processing means coupled to the video camera, the processing means performing steps of identifying regions of a video frame representing a hand; and tracking hand movement with respect to the scanner over a plurality of video frames. Event information descriptive of user activity at the self-service checkout terminal is generated based on the tracking information.

Method and apparatus for detecting movement patterns at a self-service checkout terminal

A system and method are provided for detecting, collecting information about, and analyzing a queue. A video camera is positioned to view the queue, and a sequence of video images from the camera may be processed in order to perform the functionality of the present invention. The present invention may be implemented at checkout lanes in a retail establishment, in a bank, at customer service desks, at self-service kiosks, at banks, or any other location where a queue (line) of people or other objects may form. After detecting the queue, the present invention, may collect multi-dimensional information regarding the queue, including the number of people, etc., in the queue, the average service time for each person in the queue, as well as various other types of information regarding the queue. The present invention may thereafter analyze the collected information in various ways, based upon various criteria. For example, a retailer may use the analyzed information to minimize service time for people in a checkout line, in a way which makes economic sense.

System and method for detecting and analyzing a queue

An item recognition system and method which is particularly suited for automating entry of items too small to carry readable bar code labels. The system includes a camera which digitizes the image to produce a digitized image and a gray-scale digitized image. A binary image of the gray-scale image is then produced from which the computer records an image of the item, and a computer coupled to the camera which digitizes the image to produce a digitized image and a gray-scale digitized image. A binary image of the gray-scale image is then produced from which the computer identifies the item from the binary image and obtains the price from a price-lookup file.

Price determination system and method using digitized gray-scale image

A system and method are provided for detecting, collecting information about, and analyzing a queue. A video camera is positioned to view the queue, and a sequence of video images from the camera may be processed in order to perform the functionality of the present invention. The present invention may be implemented at checkout lanes in a retail establishment, in a bank, at customer service desks, at self-service kiosks, at banks, or any other location where a queue (line) of people or other objects may form. After detecting the queue, the present invention may collect multi-dimensional information regarding the queue, including the number of people, etc., in the queue, the average service time for each person in the queue, as well as various other types of information regarding the queue. The present invention may thereafter analyze the collected information in various ways, based upon various criteria. For example, a retailer may use the analyzed information to minimize service time for people in a checkout line, in a way which makes economic sense.

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Snellville, GA, United States of America

Jianzhong Huang