Camera platform techniques are described. In an implementation, a plurality of digital images and data describing times, at which, the plurality of digital images are captured is received by a computing device. Objects of clothing are recognized from the digital images by the computing device using object recognition as part of machine learning. A user schedule is also received by the computing device that describes user appointments and times, at which, the appointments are scheduled. A user profile is generated by the computing device by training a model using machine learning based on the recognized objects of clothing, times at which corresponding digital images are captured, and the user schedule. From the user profile, a recommendation is generated by processing a subsequent user schedule using the model as part of machine learning by the computing device.

In a system and method for identifying and transferring parcels from a first conveyor to a second conveyor aligned with the first conveyor, a camera of a vision and control subsystem is used to acquire image data of a bulk flow of multiple parcels on the first conveyor. The image data is processed by a computer of the vision and control subsystem to identify individual parcels in the bulk flow of multiple parcels. The computer then activates a robot to engage and transfer selected individual parcels in the bulk flow of multiple parcels in a predetermined sequence. After the robot has engaged and transferred the selected individual parcels, the computer communicates instructions to the first conveyor to advance remaining parcels in the bulk flow of multiple parcels on the first conveyor to the second conveyor.

A device, apparatus, and method provide logic for processing information. In one implementation, a device may include an image acquisition unit configured to acquire an image, and a transmission unit configured to transmit information associated with the image to an information processing apparatus, such as a server. The server may be associated with a first feature quantity dictionary. The device also may include a receiving unit configured to receive a second feature quantity dictionary from the server in response to the transmission. The second feature quantity dictionary may include less information than the first feature quantity dictionary, and the server may generate the second feature quantity dictionary based on the image information and the first feature quantity dictionary. The device may include an identification unit configured to identify an object within the image using the second feature quantity dictionary.

A method of correcting misalignment of a vehicular camera includes disposing a camera at a vehicle at a vehicle assembly plant and calibrating the camera at the vehicle while the vehicle is at the vehicle assembly plant. Frames of image data are captured with the camera as the vehicle is driven along an arbitrary path along a road, and the captured frames of image data are processed by a processor. As the vehicle is driven along the arbitrary path, at least one feature present in the frames of captured image data is determined and tracked to determine misalignment of the camera. The determined camera misalignment is corrected (i) without use of a target in the field of view of the camera and (ii) without processing of frames of image data captured by the camera that are representative of a target in the field of view of the camera.

Implementations of the present disclosure include actions of receiving image data of an image capturing a scene, receiving data describing one or more entities determined from the scene, the one or more entities being determined from the scene, determining one or more actions based on the one or more entities, each action being provided at least partly based on search results from searching the one or more entities, and providing instructions to display an action interface comprising one or more action elements, each action element being to induce execution of a respective action, the action interface being displayed in a viewfinder

A method, computer program product, and system to identify one or more items in a transaction are provided. The method includes capturing images of the items, determining a set of possible identifications for each item based on the images, determining information regarding the transaction, selecting an identification for each item from the sets of possible identifications, based on the determined information, and adding the selected identifications to the transaction. Identifications for items may be selected based on confidence factors, price thresholds, and customer information.

Methods and apparatuses are provided for use in monitoring product placement within a shopping facility. Some embodiments provide an apparatus configured to determine product placement conditions within a shopping facility, comprising: a transceiver configured to wirelessly receive communications; a product monitoring control circuit coupled with the transceiver; a memory coupled with the control circuit and storing computer instructions that when executed by the control circuit cause the control circuit to: obtain a composite three-dimensional (3D) scan mapping corresponding to at least a select area of the shopping facility and based on a series of 3D scan data; evaluate the 3D scan mapping to identify multiple product depth distances; and identify, from the evaluation of the 3D scan mapping, when one or more of the multiple product depth distances is greater than a predefined depth distance threshold from the reference offset distance of the product support structure.

The present disclosure is directed toward systems and methods to quickly and accurately identify boundaries of a displayed document in a live camera image feed, and provide a document boundary indicator within the live camera image feed. For example, systems and methods described herein utilize different display document detection processes in parallel to generate and provide a document boundary indicator that accurately corresponds with a displayed document within a live camera image feed. Thus, a user of the mobile computing device can easily see whether the document identification system has correctly identified the displayed document within the camera viewfinder feed.

The present disclosure is directed toward systems and methods that efficiently and effectively generate an enhanced document image of a displayed document in an image frame captured from a live image feed. For example, systems and methods described herein apply a document enhancement process to a displayed document in an image frame that result in an enhanced document image that is cropped, rectified, un-shadowed, and with dark text against a mostly white background. Additionally, systems and method described herein determine whether a stored digital content item includes a displayed document. In response to determining that a stored digital content item does include a displayed document, systems and methods described herein generate an enhanced document image of a displayed document included in the stored digital content item.

A method of presenting appropriate actions for responding to a visitor to a smart home environment via an electronic greeting system of the smart home environment, including detecting a visitor of the smart home environment; obtaining context information from the smart home environment regarding the visitor; based on the context information, identifying a plurality of appropriate actions available to a user of a client device for interacting with the visitor via the electronic greeting system; and causing the identified actions to be presented to the user of the client device.