Abstract: The present invention belongs to the technical field of visual identification, and discloses an analysis method and system for items on the supermarket shelf. The method comprises acquiring one shelf image, which contains the items on the supermarket shelf and price tags corresponding to the items, and one shelf image corresponds to one shooting angle; acquiring a primary item classification result corresponding to the items on the supermarket shelf and a primary price identification result corresponding to the price tag according to the shelf image, a pre-trained primary item classification model and price tag text identification model; displaying the primary item classification result and the primary price identification result on the shelf image. The system comprises an image acquisition device, a primary classification device and a display device.

Abstract: The present invention discloses an item-customer matching method and device based on vision and gravity sensing, and belongs to the technical field of computer. The method comprises acquiring the identity information of a customer and tracking the customer in real time in the shopping place, wherein shelves for carrying items are arranged; acquiring the shelf position of the shelf where the loading weight changes; identifying the items that cause changes in the loading weight of the shelf to obtain the item identification result; determining the identity information of the purchaser according to the shelf position, the hand position of the customer, and the action behavior of the customer, wherein the purchaser is a customer matching the item identification result. The device includes a customer tracking module, a shelf position acquiring module, an item identification result acquiring module, and a matching module.

Abstract: The present invention discloses a method, a device and a system for checkout, and belongs to the technical field of computer. The checkout method comprises: verifying whether a received unlocking request is sent by a pre-registered customer, and if so, issuing an unlocking instruction for opening an accommodating case in which a shelf for bearing the item is arranged and associating the customer with a take-up action or a put-back action aiming at an item; generating a shopping list of the customer, after identifying the take-up action or the put-back action and the item at which the take-up action or the put-back action aims; and performing checkout of the shopping list. The present invention further discloses a checkout device which comprises a registration module, a verification association module, a shopping list generation module and a checkout module. The present invention further discloses a checkout device which comprises a camera, a processor and a memory.

Abstract: The present invention belongs to the technical field of computer, and discloses an item identification method and device based on vision and gravity sensing. The method comprises: identifying a collected item image, and acquiring a plurality of visual identification results corresponding to N times of pick-up and put-back behaviors, wherein each visual identification result corresponds to one time of pick-up and put-back behavior; acquiring a weight identification result corresponding to each weight change of M times of weight changes of items supported on a support; judging whether a total weight change value corresponding to M times of weight changes is consistent with the total weight value of the pick-up and put-back items corresponding to N times of pick-up and put-back behaviors or not; and if not, perfecting each visual identification result according to the M weight identification results to obtain the sum of identification items corresponding to N times of pick-up and put-back behaviors.

Abstract: The present invention belongs to the technical field of computer, and discloses an item identification method and device based on vision and gravity sensing. The method comprises: identifying a collected item image, and acquiring a plurality of visual identification results corresponding to N times of pick-up and put-back behaviors, wherein each visual identification result corresponds to one time of pick-up and put-back behavior; acquiring a weight identification result corresponding to each weight change of M times of weight changes of items supported on a support; judging whether a total weight change value corresponding to M times of weight changes is consistent with the total weight value of the pick-up and put-back items corresponding to N times of pick-up and put-back behaviors or not; and if not, perfecting each visual identification result according to the M weight identification results to obtain the sum of identification items corresponding to N times of pick-up and put-back behaviors.

Abstract: The present invention discloses a method, a device and a system for checkout, and belongs to the technical field of vision identification. A checkout method comprises: acquiring an identity information of a purchaser; identifying a take-up action or a put-back action of the purchaser to acquire an action identification result, and items at which the take-up action or the put-back action aims to acquire an item identification result; and performing checkout based on the identity information, the action identification result, and the item identification result of the purchaser. A checkout device comprises: an acquisition module, an identification module and a checkout module. Another checkout device comprises: a shelf, a range sensor, an identity verification collection module, an identification image collection module, a processor and a memory. A checkout system comprises: a client terminal and the checkout device.

Abstract: A method for checkout based on an image identification technique of convolutional neural network includes acquiring N pictures of M items to be classified placed on a checkout counter, N shooting angles corresponding to the N pictures have at least one shooting angle for taking pictures downwards from just above, performing object detection in the pictures acquired downwards from just above to obtain first rectangular area images, then respectively performing the object detection in remaining pictures according to the number of the pictures to obtain remaining rectangular area images, obtaining preliminary classification results according to the first rectangular area images, the remaining rectangular area images and a pre-trained first-level classification model, and obtaining first-level classification results according to the preliminary classification results and a pre-trained first-level linear regression model, using the first-level classification results as first classification results and performing c

Abstract: The present invention belongs to the technical field of visual identification, and discloses an analysis method and system for items on the supermarket shelf. The method comprises acquiring one shelf image, which contains the items on the supermarket shelf and price tags corresponding to the items, and one shelf image corresponds to one shooting angle; acquiring a primary item classification result corresponding to the items on the supermarket shelf and a primary price identification result corresponding to the price tag according to the shelf image, a pre-trained primary item classification model and price tag text identification model; displaying the primary item classification result and the primary price identification result on the shelf image. The system comprises an image acquisition device, a primary classification device and a display device.

Abstract: The present invention discloses a method, a device and a system for checkout, and belongs to the technical field of computer. The checkout method comprises: identifying a pre-registered customer to acquire an identity information of the customer, the identity information containing face data and a payment account of the customer; tracking the customer whose identity information has been acquired, in a shopping place in real time, and acquiring a position of the customer; judging whether the position of the customer is consistent with a position of an item in the shopping place, and if so, associating the customer with a take-up action or a put-back action aiming at the item, and generating a shopping list of the customer after identifying the take-up action or the put-back action, and the item at which the take-up action or the put-back action aims; and performing checkout of the shopping list.

Abstract: A method includes acquiring a plurality of pictures of a single item to be classified placed on a checkout counter, the plurality of pictures corresponding to a plurality of shooting angles one to one, performing an object detection in each of the pictures to obtain a rectangular area image, the rectangular area image being an image corresponding to a rectangular area containing the item, obtaining a plurality of primary classification results correspondingly, according to the plurality of rectangular area images and a pre-trained first-level classification model, and obtaining a first-level classification result of the plurality of pictures according to the plurality of primary classification results and a pre-trained first-level linear regression model, using the first-level classification result as a first classification result and performing checkout according to the first classification result.

Abstract: The present invention discloses a method, a device and a system for checkout, and belongs to the technical field of computer. The checkout method comprises: verifying whether a received unlocking request is sent by a pre-registered customer, and if so, issuing an unlocking instruction for opening an accommodating case in which a shelf for bearing the item is arranged and associating the customer with a take-up action or a put-back action aiming at an item; generating a shopping list of the customer, after identifying the take-up action or the put-back action and the item at which the take-up action or the put-back action aims; and performing checkout of the shopping list. The present invention further discloses a checkout device which comprises a registration module, a verification association module, a shopping list generation module and a checkout module. The present invention further discloses a checkout device which comprises a camera, a processor and a memory.

Abstract: The present invention discloses a method, a device and a system for checkout, and belongs to the technical field of computer. The checkout method comprises: identifying a pre-registered customer to acquire an identity information of the customer, the identity information containing face data and a payment account of the customer; tracking the customer whose identity information has been acquired, in a shopping place in real time, and acquiring a position of the customer; judging whether the position of the customer is consistent with a position of an item in the shopping place, and if so, associating the customer with a take-up action or a put-back action aiming at the item, and generating a shopping list of the customer after identifying the take-up action or the put-back action, and the item at which the take-up action or the put-back action aims; and performing checkout of the shopping list.