Abstract: Methods, systems, devices, and tangible non-transitory computer readable media for generating and validating reports. The organizational reports can include fields respectively associated with entries. Formats of the organizational reports can be determined based at least in part on configurations of the fields. Validated reports can then be generated based on the performance of validation operations including evaluation of a validity of each of the organizational reports. The validated reports can include a portion of the fields and a portion of the entries. Furthermore, indications associated with the validity of the portion of the entries of the validated reports that were evaluated can be generated.

Abstract: Methods, systems, devices, and tangible non-transitory computer readable media for generating and validating reports. The disclosed technology can access organizational data that can include organizational reports associated with payrolls of an organization. The organizational reports can include fields respectively associated with entries. Formats of the organizational reports can be determined based at least in part on configurations of the fields. Validated reports can then be generated based on the performance of validation operations including evaluation of a validity of each of the organizational reports. The validated reports can include a portion of the fields and a portion of the entries. Furthermore, indications associated with the validity of the portion of the entries of the validated reports that were evaluated can be generated.

Abstract: Methods, systems, devices, and tangible non-transitory computer readable media for generating and validating reports. The disclosed technology can access organizational data that can include organizational reports associated with payrolls of an organization. The organizational reports can include fields respectively associated with entries. Formats of the organizational reports can be determined based at least in part on configurations of the fields. Validated reports can then be generated based on the performance of validation operations including evaluation of a validity of each of the organizational reports. The validated reports can include a portion of the fields and a portion of the entries. Furthermore, indications associated with the validity of the portion of the entries of the validated reports that were evaluated can be generated.

Abstract: A system for computer-aided visual recognition of products may be used by a customer operating a mobile computing device having a camera. A customer can direct the camera at a targeted product for which the customer desires to purchase or learn information. Image recognition operations can be carried out to compare the captured image against images from a prepopulated product image store of known products. Upon a positive match, information regarding the identified product may be gathered and transmitted to the customer and displayed on the mobile computing device. The customer may be presented with various options regarding the identified product, including adding the product to a shopping list, a to-do list, a wish list, or other types of lists.

Abstract: A system for alerting an employee or agent of a retailer regarding an unfavorable condition may include the use of computer-aided visual recognition of products to aid in identifying the location of the unfavorable condition. A user can direct a mobile computing device camera at one or more targeted products displayed on store shelves. Image recognition operations can be carried out to compare the targeted product image(s) against images from a prepopulated product image store of known products. Upon a positive match, shelf location information of the identified targeted product(s) may be used to determine the current location of the user. The employee or agent may be alerted with respect to the unfavorable condition and the location thereof.

Abstract: A system for computer-aided visual recognition of products may help a customer navigate to a selected product in a retail store. A customer can direct a mobile computing device camera at one or more targeted products displayed on store shelves. Image recognition operations can be carried out to compare the targeted product image(s) against images from a prepopulated product image store of known products. Upon a positive match, shelf location information of the identified targeted product(s) may be used to determine the current location of the customer. An in-store destination location is defined by the shelf location for the selected product. A route may be calculated to navigate the customer from the current location to the destination location.

Abstract: A system for computer-aided visual recognition of products may be used by a customer operating a mobile computing device having a camera. A customer can direct the camera at a targeted product for which the customer desires to purchase or learn information. Image recognition operations can be carried out to compare the captured image against images from a prepopulated product image store of known products. Upon a positive match, information regarding the identified product may be gathered and transmitted to the customer and displayed on the mobile computing device. The customer may be presented with various options regarding the identified product, including adding the product to a shopping list, a to-do list, a wish list, or other types of lists.

Abstract: A system for alerting an employee or agent of a retailer regarding an unfavorable condition may include the use of computer-aided visual recognition of products to aid in identifying the location of the unfavorable condition. A user can direct a mobile computing device camera at one or more targeted products displayed on store shelves. Image recognition operations can be carried out to compare the targeted product image(s) against images from a prepopulated product image store of known products. Upon a positive match, shelf location information of the identified targeted product(s) may be used to determine the current location of the user. The employee or agent may be alerted with respect to the unfavorable condition and the location thereof.

Abstract: A system for computer-aided visual recognition of products may help a customer navigate to a selected product in a retail store. A customer can direct a mobile computing device camera at one or more targeted products displayed on store shelves. Image recognition operations can be carried out to compare the targeted product image(s) against images from a prepopulated product image store of known products. Upon a positive match, shelf location information of the identified targeted product(s) may be used to determine the current location of the customer. An in-store destination location is defined by the shelf location for the selected product. A route may be calculated to navigate the customer from the current location to the destination location.