A smart device is provided with an application program for displaying a video feed received from the smart device's camera. The application can determine the coordinates for an intersection point, which is a point on the ground where the smart device is pointing at. The application can display a target on the visual representation of the intersection point. Based on whether the smart device is at an appropriate distance from the intersection point, the user interface can superimpose an indicator on the video feed received from the camera. This can inform the user whether the smart device is at an optimal scan distance from the intersection point (or an object) so that the object can be identified by a machine learning model.

In an embodiment, an image reception system is communicatively coupled to an image analysis system and is configured to receive a digital image and analyze the pixels of the digital image to determine one or more regions in the digital image. For each region in the one or more regions in the digital image, the image analysis system recognizes the content in the region. A document creation system communicatively coupled to the image analysis system is configured to create a digital document based on the recognized content for the one or more regions. In some embodiments, the image analysis system is further configured to analyze the digital image to detect one or more of the following: region markers, tables, headers.

A medicine administration system includes a medicine administration device, a medicine cartridge receivable with the medicine administration device, and a contrast background. The medicine cartridge is configured to retain medicine therein. The medicine administration device is configured to dispense at least some of the medicine through a dispensing end of the medicine cartridge. The contrast background is positioned relative to the medicine cartridge to permit visualization of the contrast background through the medicine within the medicine cartridge. The contrast background is configured to facilitate image processing of a captured image of the contrast background through the medicine within the medicine cartridge to determine a condition of the medicine within the medicine cartridge.

Mobile phones and other portable devices are equipped with a variety of technologies by which existing functionality can be improved, and new functionality can be provided. Some aspects relate to visual search capabilities, and determining appropriate actions responsive to different image inputs. Others relate to processing of image data. Still others concern metadata generation, processing, and representation. Yet others concern user interface improvements. Other aspects relate to imaging architectures, in which a mobile phone's image sensor is one in a chain of stages that successively act on packetized instructions/data, to capture and later process imagery. Still other aspects relate to distribution of processing tasks between the mobile device and remote resources (“the cloud”). Elemental image processing (e.g., simple filtering and edge detection) can be performed on the mobile phone, while other operations can be referred out to remote service providers. The remote service providers can be selected using techniques such as reverse auctions, through which they compete for processing tasks. A great number of other features and arrangements are also detailed.

Systems and methods that allow a smartphone to be used as an imaging device for undercarriage inspection of a moving vehicle are provided. The method may include locating the smartphone on the ground via one or more sensors of the vehicle. The vehicle may generate a path for the vehicle to drive over the smartphone based on the location of the smartphone, and optionally display the path to facilitate manual driving of the vehicle by the driver over the smartphone. Alternatively, the vehicle may self-drive to follow the path. The smartphone may capture image data indicative of the undercarriage of the vehicle, inspect and analyze the image data to identify one or more issues of the undercarriage of the vehicle, and transmit the analyzed image data to the vehicle for display. The driver may confirm the one or more issues and transmit the data to an inspection professional for additional assistance if needed.

An electronic device may include a display layer including light transmissive portions and non-transmissive portions. The electronic device may also include a palm biometric image sensor layer beneath the display layer and configured to sense an image of a user's palm positioned above the display layer based upon light reflected from the user's palm passing through the light transmissive portions of the display layer. The electronic device may further include a controller configured to capture image data from the user's palm in cooperation with the palm biometric image sensor layer and determine a surface distortion of the user's palm based upon the image data. The controller may also be configured to perform a biometric authentication of the user's palm based upon the image data and the surface distortion.

A system for object and information collection comprises a handheld tool to grab the object. The handheld tool comprises a trigger, a grabber mechanism, and a switch, wherein a user actuates the trigger to pick up an object with the grabber mechanism, and the switch causes transmission of a capture signal to initiate a classification event. A classification application executing on a processor is responsive to receiving the capture signal to capture information associated with the object and assign an object classification to the object based at least in part on the captured information.

A method of identifying a bale of material includes capturing an initial image of a region of an initial bale with an initial image sensor and identifying a unique band pattern of at least one multi-colored band of the initial bale. The identified unique band pattern is associated with the initial bale. Data related to the initial bale is associated with the identified unique band pattern. The identified unique band pattern of the initial bale may then be used as an identifier of the initial bale. A second image of the bale is captured and analyzed to determine if the second image includes the unique band pattern of the at least one multi-colored band, thereby identifying the bale in the second image as the initial bale. The data associated with the initial bale may then be retrieved by an operator.

A machine learning based imaging system comprises an imaging apparatus for attachment to an imaging sensor of a mobile computing apparatus such as camera of a smartphone. A machine learning (or AI) based analysis system is trained on images captured with the imaging apparatus attached, and once trained may be deployed with or without the imaging apparatus. The imaging apparatus comprise an optical assembly that may magnify the image, an attachment arrangement and a chamber or a wall structure that forms a chamber when placed against an object. The inner surface of the chamber is reflective apart and has a curved profile to create uniform lighting conditions on the one or more objects being imaged and uniform background lighting to reduce the dynamic range of the captured images.

The present disclosure relates to a display device including an optical device, more specifically, it relates to a display device in which the optical device is positioned under the display panel so that the optical device is not exposed in the front direction. Even if the optical device is located under the display panel, the display device can normally perform the function of the optical device related to the front direction of the display panel and have a structure for this.