Abstract: A system dynamically maps and updates item locations within a warehouse. A first set of sensors traverses the environment, capturing high-resolution spatial data the system uses to generate an item mapping for the warehouse. The item mapping maps items and structures to precise three-dimensional locations. A cart-mounted camera collects lower-granularity spatial data as it moves through the warehouse. The system identifies items in this new data, associates them with their positions, and compares the updated visual data to the item mapping. In response to detecting changes in item locations, the system updates the item mapping, enabling efficient, real-time tracking of inventory and layout changes with reduced computational resources.

Abstract: A 4D tooth modeling system that utilizes mobile device-based RGB videos and optical sensing technology to determine depth of teeth and a method for modeling teeth in 4D via mobile device-based RGB video and optical sensing technology are disclosed. The 4D tooth modeling system leverages RGB videos and optical sensing technology, such as LiDAR depth sensors, on mobile devices to perform accurate and non-invasive dental scans by way of the method for modeling teeth in 4D via mobile device-based RGB video and optical sensing technology. The 4D tooth modeling system substantially enhances patient comfort, expedites the scanning process, and significantly reduces both equipment and maintenance costs, making the 4D tooth modeling system a highly accessible and convenient solution for dental practices.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for tracking a product item in an automated-checkout store. One of the methods includes receiving, by a computer system, data collected by multiple image sensors, the received data including data associated with a person, identifying, by the computer system based on the received data, multiple features of the person, extracting, by the computer system based on the identified features, data associated with the person from the received data, wherein the extracted data correspond to multiple time periods, and determining, by the computer system, a location of the person in each of the time periods based on the extracted data corresponding to the time period, wherein the determining includes aggregating the extracted data collected by different image sensors based at least in part on a location and a line of sight of each of the image sensors.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for tracking a product item in an automated-checkout store. One of the methods includes receiving, by a computer system, data collected by multiple image sensors, the received data including data associated with a person, identifying, by the computer system based on the received data, multiple features of the person, extracting, by the computer system based on the identified features, data associated with the person from the received data, wherein the extracted data correspond to multiple time periods, and determining, by the computer system, a location of the person in each of the time periods based on the extracted data corresponding to the time period, wherein the determining includes aggregating the extracted data collected by different image sensors based at least in part on a location and a line of sight of each of the image sensors.