Ncr Corporation

Kristoffer Dominic Amora

Chao He

Meng Yu

Richard C Quipanes

Cres Daryl C Sadernas

Em Parac

Approaches to produce verification are addressed which may be suitably employed in conjunction with a low resolution image scanner. Features, such as lines, corners, text, texture, edges and the like are extracted and compared with features for an identified item or evaluated to determine if the features collectively are indicative of a produce item or a non-produce item.

Produce and non-produce verification using hybrid scanner

Techniques are provided to automate at least some of the information gathering required for check-in using a mobile device. A user may enter at least some required information using a mobile application on a mobile device. The mobile application may convert the entered data into a Quick Response ('QR') code or other type of readable form that may be read or received by a device at the location of check-in. The information entered may be stored in the mobile device's memory and may be modified for future check-ins. A user would enter the location of check-in and present the mobile phone containing the information previously entered by the user to a reader at the location. The reader reads the information which may be transmitted to the location's database. Using the information submitted, the user may be checked in automatically.

Growing community of inventors

Mandue, Philippines

Kristoffer Dominic Amora