Abstract: Disclosed is a method for identifying and monitoring a shopping behavior in a user. The method includes capturing images from a depth camera mounted on a shelf unit, identifying a user from the captured image, identifying joints of the identified user by performing a deep neural network (DNN) body joint detection on the captured images; detecting and tracking actions of the identified user over a first time period; tracking an object from the bins over a second time period by associating the object with one or more joints among the identified joints that have entered the bins within the shelf unit, and determining an action of the identified user based at least in part on the associated object with the one or more joints and results from the deep learning identification on the bounding box.

Abstract: A system of containers for medications having tactile identification indicia means on the cover of the container. The originally dispensed medication is placed inside a larger container from which the medication is dispensed to the patient. The larger container having tactile indicia identifying the medication therein. The tactile indicia include at least the first letter of the name of the medication. In addition to the letters of the name of the medication, the indicia may also include the Braille symbols for the letters, as well as unique indicia for indicating the prescribed dosage and the frequency of dosage. The system may also include a separate printed chart listing the indicia for each medication for use by sighted caregivers.