A self-driving system includes a mobile base having motorized wheels, one or more cameras operable to identify a target object, one or more proximity sensors operable to measure a distance between the target object and the mobile base, and a controller. The controller directs movement of the motorized wheels based on data received from one or more cameras and proximity sensors, and switches operation mode of the self-driving system from a machine-vision integrated following mode to a pure proximity-based following mode in response to changing environmental conditions so that the self-driving system autonomously follow the target object moving in a given direction, wherein data from the one or more cameras and proximity sensors are both used for following the target object in the machine-vision integrated following mode, and only data from the one or more proximity sensors are used for following the target object in the pure proximity-based following mode.

A method and apparatus for detecting a liveness based on a phase difference are provided. The method includes generating a first phase image based on first visual information of a first phase, generating a second phase image based on second visual information of a second phase, generating a minimum map based on a disparity between the first phase image and the second phase image, and detecting a liveness based on the minimum map.

An object recognition apparatus includes a light source, an image sensor, a control circuit, and a signal processing circuit. The control circuit causes the light source to emit first light toward a scene and subsequently emit second light toward the scene, the first light having a first spatial distribution, the second light having a second spatial distribution. The control circuit causes the image sensor to detect first reflected light and second reflected light in the same exposure period, the first reflected light being caused by reflection of the first light from the scene, the second reflected light being caused by reflection of the second light from the scene. The signal processing circuit recognizes an object included in a scene based on photodetection data output from the image sensor, and based on an object recognition model pre-trained by a machine learning algorithm.

A delivery system generates a pick sheet containing a plurality of SKUs based upon an order. A loaded pallet is imaged to identify the SKUs on the loaded pallet, which are compared to the order prior to the loaded pallet leaving the distribution center. The loaded pallet may be imaged while being wrapped with stretch wrap. At the point of delivery, the loaded pallet may be imaged again and analyzed to compare with the pick sheet.

A system having a bar containing distance sensors, such as LIDARs, that may be installed behind a shelf in an automated store. Shelves may be divided into storage zones, such as bins or lanes, and a distance sensor may measure the item quantity in each zone. Quantity changes indicate that a shopper has taken or placed items in the zone. Quantity changes may trigger analysis of camera images of the shelf to identify the items taken or replaced. The distance sensor elements within the bar may be relocatable so they can be positioned correctly behind the corresponding storage zones. The bar may have mounting mechanisms on either side for attachment to shelving support structures. These mounting mechanisms may include security locks. The bar may rotate relative to the mounting mechanisms to provide access to the shelf from behind.

A display apparatus includes an optical module, a display panel and a display panel driver. The display panel is disposed on the optical module. The display panel driver is configured to drive the display panel. The display panel includes a first display area including at least a portion overlapping with the optical module and a second display area not overlapping with the optical module in a plan view. The first display area includes pixels having a first pixel structure. The second display area includes pixels having a second pixel structure different from the first pixel structure.

A computer-implemented method for computing a prediction on images of a scene includes: receiving one or more polarization raw frames of a scene, the polarization raw frames being captured with a polarizing filter at a different linear polarization angle; extracting one or more first tensors in one or more polarization representation spaces from the polarization raw frames; and computing a prediction regarding one or more optically challenging objects in the scene based on the one or more first tensors in the one or more polarization representation spaces.

Systems and methods are provided for acquiring images of objects using an imaging device and a controllable mirror. The controllable mirror can be controlled to change a field of view for the imaging device, including so as to acquire images of different locations, of different parts of an object, or with different degrees of zoom.

An image sensor comprises a plurality of pixels. Pixels are capable of detecting a change in an amount of light intensity and pixels are capable of detecting an amount of light intensity. In a first mode the sensor outputs data from the first one or more of the pixels. In a second mode the sensor outputs data from the second one or more of the pixels. The first mode may be a lower power operation mode and the second mode may be a higher power operation mode. At least one of the first mode and the second mode is selected by a processor based on at least one of a result of processing data output in the first mode and a result of processing data output in the second mode.

A delivery system generates a pick sheet containing a plurality of SKUs based upon an order. A loaded pallet is imaged to identify the SKUs on the loaded pallet, which are compared to the order prior to the loaded pallet leaving the distribution center. The loaded pallet may be imaged while being wrapped with stretch wrap. At the point of delivery, the loaded pallet may be imaged again and analyzed to compare with the pick sheet.