Abstract: A point-of-sale self-checkout terminal includes a code reader device for automated entry of a product identification code present on items for purchase and a customer input device for receipt of data from a customer. A customer can initiate a purchase of a non-scannable item and, in response, a database is queried to identify items based on a prediction of purchase of the items, and the identified items are displayed for selection by the customer to purchase the item. Image processing and voice processing, can also be implemented to assist customers with the purchase of non-scannable items.

Abstract: A point-of-sale self-checkout terminal includes a code reader device for automated entry of a product identification code present on items for purchase and a customer input device for receipt of data from a customer. A customer oars initiate a purchase of a non-scannable item and, in response, a database is queried to identify items based on a prediction of purchase of the items, and the identified items are displayed for selection by the customer to purchase the item. Image processing and voice processing, can also be implemented to assist customers with the purchase of non-scannable items.

Abstract: A point-of-sale self-checkout terminal includes a code reader device for automated entry of a product identification code present on items for purchase and a customer input device for receipt of data from a customer. A customer can initiate a purchase of a non-scannable item and, in response, a database is queried to identify items based on a prediction of purchase of the items, and the identified items are displayed for selection by the customer to purchase the item. Image processing and voice processing, can also be implemented to assist customers with the purchase of non-scannable items.

Abstract: A point-of-sale self-checkout terminal includes a code reader device for automated entry of a product identification code present on items for purchase and a customer input device for receipt of data from a customer. A customer can initiate a purchase of a non-scannable item and, in response, a database is queried to identify items based on a prediction of purchase of the items, and the identified items are displayed for selection by the customer to purchase the item. Image processing and voice processing, can also be implemented to assist customers with the purchase of non-scannable items.

Abstract: A point-of-sale self-checkout terminal includes a code reader device for automated entry of a product identification code present on items for purchase and a customer input device for receipt of data from a customer. A customer can initiate a purchase of a non-scannable item and, in response, a database is queried to identify items based on a prediction of purchase of the items, and the identified items are displayed for selection by the customer to purchase the item. Inage processing and voice processing, can also be implemented to assist customers with the purchase of non-scannable items.

Abstract: A self-checkout system includes a graphical user interface for self-checkout of non-bar-coded items. The interface displayes a predetermined image corresponding to a non-bar-coded item, and means for the user to select the image. A product look up (PLU) entry device provides a PLU corresponding to the item selected by the user and a processing unit uses the selected PLU to retrieve price information from a database. The processing unit may also maintain a list of most frequently sold items and the image of at least on item on the list is provided on the display screen. The processing unit may update the display screen when the list of most requently sold items changes. Images of other non-bar-coded items can also be displayed.

Abstract: A point-of-sale self-checkout terminal includes a code reader device for automated entry of a product identification code present on items for purchase and a customer input device for receipt of data from a customer. A customer can initiate a purchase of a non-scannable item and, in response, a database is queried to identify items based on a prediction of purchase of the items, and the identified items are displayed for selection by the customer to purchase the item. Inage processing and voice processing, can also be implemented to assist customers with the purchase of non-scannable items.