Abstract: One embodiment of the present invention sets forth a technique for identifying users. The technique includes generating a first set of image crops of users in an environment based on estimates of a first set of poses for the users in a first set of images collected by a set of tracking cameras. The technique also includes applying an embedding model to the first set of image crops to produce a first set of embeddings and aggregating the first set of embeddings into clusters representing the users. The technique further includes upon matching, to a cluster, a second set of embeddings produced by the embedding model from a second set of image crops of an interaction between a user and an item, storing a representation of the interaction in a virtual shopping cart associated with the cluster.

Abstract: One embodiment of the present invention sets forth a technique for detecting a first user in the autonomous store based on analysis of a first set of images collected by a set of tracking cameras in the autonomous store, creating a first virtual shopping cart for the first user without requiring the first user to establish an identity with the autonomous store, updating the first virtual shopping cart with a set of items in the autonomous store based on observations from a set of sensors of interactions between the first user and the set of items, and automatically performing at least one check-out operation related to the set of items in the first virtual shopping cart upon detecting that a first location of the first user is within proximity of a checkout location in the autonomous store.