Patent classifications
G07G3/00
Multiple-factor verification for vision-based systems
A system and method for interaction monitoring in a retail environment that includes executing a first monitoring system and thereby generating a first evaluation of customer selection of items; executing a second monitoring system and thereby generating a second evaluation of customer selection of items; determining monitoring alignment between the first evaluation and the second evaluation of a first customer; and triggering an action in response to the monitoring alignment.
Multiple-factor verification for vision-based systems
A system and method for interaction monitoring in a retail environment that includes executing a first monitoring system and thereby generating a first evaluation of customer selection of items; executing a second monitoring system and thereby generating a second evaluation of customer selection of items; determining monitoring alignment between the first evaluation and the second evaluation of a first customer; and triggering an action in response to the monitoring alignment.
Interactive shopping system and method
An interactive shopping system for use in a retail store. The system can include a container for holding products selected by at least one user, a client device, a scanner, a scale, and a processor in communication with the client device, a positioning system in communication with the client device or the processor, and a visual or audible indicator. The at least one user can select products, view product information, initiate a payment transaction, and complete a purchase utilizing the interactive shopping system.
SYSTEM AND METHOD FOR LOSS PREVENTION AT A SELF-CHECKOUT SCANNER LEVEL
Detection and prevention of loss at a retail checkout are provided. At least one camera captures video streams during a transaction at a point of sale terminal. The video streams are analyzed to detect a scan activity during the transaction. Transaction data is collected from the point of sale terminal. The scan activity is compared with the transaction data in order to detect discrepancies between the detected scan activity and the scan activity recorded in the transaction data.
Security apparatus in a shopping environment, and a method thereof
A security apparatus and a method for detecting illegal carrying of items at a check-out are provided. The security apparatus includes a first set of sensors for measuring a number of parameters associated with a number of items purchased by a customer, and a second set of sensors to measure a number of physiological parameters of the customer. A communication unit in the security apparatus obtains information regarding a purchase of the number of items. A computing unit of the security apparatus compares reference parameters with the measured number of parameters. Based on a difference in the comparison, the computing unit receives the number of micro-expressions of the customer and determines one or more emotions of the customer. The one or more emotions and the number of parameters associated with the number of items are used to detect illegal carrying of at least one item.
SECURITY APPARATUS IN A SHOPPING ENVIRONMENT, AND A METHOD THEREOF
A security apparatus and a method for detecting illegal carrying of items at a check-out are provided. The security apparatus includes a first set of sensors for measuring a number of parameters associated with a number of items purchased by a customer, and a second set of sensors to measure a number of physiological parameters of the customer. A communication unit in the security apparatus obtains information regarding a purchase of the number of items. A computing unit of the security apparatus compares reference parameters with the measured number of parameters. Based on a difference in the comparison, the computing unit receives the number of micro-expressions of the customer and determines one or more emotions of the customer. The one or more emotions and the number of parameters associated with the number of items are used to detect illegal carrying of at least one item.
EMPTY BOTTOM SHELF OF SHOPPING CART MONITOR AND ALERTING SYSTEM USING DISTANCE MEASURING METHODS
A method apparatus are directed to identify items disposed on the bottom shelf of a shopping cart bottom of basket (BoB). Certain aspects envision a distance measurement sensor and computing system connected to the shopping cart. A first set of distance measurements of the bottom shelf when empty is obtained via the distance measurement sensor. Next, at a checkout stand, a second set of distance measurements of the shelf are taken, which can be used to compare with the first set of distance measurements to identify if there is an object on the BoB. An alert can be provided to a checkout attendant if there is an object on the BoB.
INVESTIGATION GENERATION IN AN OBSERVATION AND SURVEILLANCE SYSTEM
The present disclosure is directed to systems and methods for generating investigations of user behavior. In an example embodiment, the system includes a video camera configured to capture video of user activity, a video analytic module to perform real-time video processing of the captured video to generate non-video data from video, and a computer configured to receive the video and the non-video data from the video camera. The computer includes a video analytics module configured to analyze one of video and non-video data to identify occurrences of particular user behavior, and an investigation generation module configured to generate an investigation containing at least one video sequence of the particular user behavior. In some embodiments, the investigation is generated in near real time. The particular user behavior may be defined as an action, an inaction, a movement, a plurality of event occurrences, a temporal event and/or an externally-generated event.
Devices, systems, and methods for optical validation
- Erik Van Horn ,
- Gennady GERMAINE ,
- Christopher Allen ,
- David J. RYDER ,
- Paul Poloniewicz ,
- Kevin SABER ,
- Sean Philip Kearney ,
- Edward HATTON ,
- Edward C. Bremer ,
- Michael Vincent Miraglia ,
- Robert PIERCE ,
- William Ross Rapoport ,
- James Vincent GUIHEEN ,
- Chirag PATEL ,
- Patrick Anthony Giordano ,
- Timothy Good ,
- Gregory M. Rueblinger
Existing currency validation (CVAL) devices, systems, and methods are too slow, costly, intrusive, and/or bulky to be routinely used in common transaction locations (e.g., at checkout, at an automatic teller machine, etc.). Presented herein are devices, systems, and methods to facilitate optical validation of documents, merchandise, or currency at common transaction locations and to do so in an obtrusive and convenient way. More specifically, the present invention embraces a validation device that may be used alone or integrated within a larger system (e.g., point of sale system, kiosk, etc.). The present invention also embraces methods for currency validation using the validation device, as well as methods for improving the quality and consistency of data captured by the validation device for validation.
Devices, systems, and methods for optical validation
- Erik Van Horn ,
- Gennady GERMAINE ,
- Christopher Allen ,
- David J. RYDER ,
- Paul Poloniewicz ,
- Kevin SABER ,
- Sean Philip Kearney ,
- Edward HATTON ,
- Edward C. Bremer ,
- Michael Vincent Miraglia ,
- Robert PIERCE ,
- William Ross Rapoport ,
- James Vincent GUIHEEN ,
- Chirag PATEL ,
- Patrick Anthony Giordano ,
- Timothy Good ,
- Gregory M. Rueblinger
Existing currency validation (CVAL) devices, systems, and methods are too slow, costly, intrusive, and/or bulky to be routinely used in common transaction locations (e.g., at checkout, at an automatic teller machine, etc.). Presented herein are devices, systems, and methods to facilitate optical validation of documents, merchandise, or currency at common transaction locations and to do so in an obtrusive and convenient way. More specifically, the present invention embraces a validation device that may be used alone or integrated within a larger system (e.g., point of sale system, kiosk, etc.). The present invention also embraces methods for currency validation using the validation device, as well as methods for improving the quality and consistency of data captured by the validation device for validation.