There is provided systems and methods for performing actions based on light signatures. An exemplary system includes a light source, a light detector, a non-transitory memory storing a plurality of light signatures and a hardware processor. The hardware processor executes an executable code to illuminate, using the light source, a target object with a first light, collect, using the light detector, a second light being a reflection of the first light by the target object, match the second light with one of the plurality of light signatures, and perform an action in response to matching the second light with the one of the plurality of light signatures.

Described examples include an optical device having a first light source configured to provide a first light having a first characteristic. The optical device also has a second light source configured to provide a second light having a second characteristic. The optical device also has a combiner configured to combine the first light and the second light to provide a combined light. The optical device also has a spatial light modulator configured to modulate the combined light to provide modulated combined light. The optical device also has a divider configured to receive the modulated combined light and to direct a first portion of the modulated combined light having the first characteristic to a first target and to direct a second portion of the modulated combined light having the second characteristic to a second target.

A method performed by a vehicle system for handling images of the surroundings of a vehicle. An image of the surroundings of the vehicle is obtained. The image is obtained from at least one side image capturing device mounted in or on the vehicle, and the image capturing device comprises a fisheye camera lens. At least a part of the distortions in the image is corrected to obtain a corrected image. The corrected image is rotationally transformed using a first rotational transformation to obtain a first transformed image. The corrected image is rotationally transformed using a second rotational transformation to obtain a second transformed image. The first and second transformed images are consecutive or adjacent images.

An athletic performance monitoring system, including a gesture recognition processor configured to execute gesture recognition processes. Interaction with the athletic performance monitoring system may be based, at least in part, on gestures performed by a user, and may offer an alternative to making selections on the athletic performance monitoring system using physical buttons, which may be cumbersome and/or inconvenient to use while performing an athletic activity. Additionally, recognized gestures may be used to select one or more operational modes for the athletic performance monitoring system, such that a reduction in power consumption may be achieved.

An athletic performance monitoring system, including a gesture recognition processor configured to execute gesture recognition processes. Interaction with the athletic performance monitoring system may be based, at least in part, on gestures performed by a user, and may offer an alternative to making selections on the athletic performance monitoring system using physical buttons, which may be cumbersome and/or inconvenient to use while performing an athletic activity. Additionally, recognized gestures may be used to select one or more operational modes for the athletic performance monitoring system, such that a reduction in power consumption may be achieved.

Determine a current position of a camera relative to a road based on a set of imagery from the camera and a recommended position of the camera relative to the road based on the set of imagery from the camera, while the camera is maintained at a constant height relative to the road and a constant lateral distance relative to the road. The camera can be positionally adjusted from the current position to the recommended position based on a movement of the camera about a Y-axis or a Z-axis of the camera at that time relative to the road. In order to enable movement of the camera, a guide can be output to a user such that the user can follow the guide and move the camera from the current position to the recommended position.

Determine a current position of a camera relative to a road based on a set of imagery from the camera and a recommended position of the camera relative to the road based on the set of imagery from the camera, while the camera is maintained at a constant height relative to the road and a constant lateral distance relative to the road. The camera can be positionally adjusted from the current position to the recommended position based on a movement of the camera about a Y-axis or a Z-axis of the camera at that time relative to the road. In order to enable movement of the camera, a guide can be output to a user such that the user can follow the guide and move the camera from the current position to the recommended position.

The embodiments of the present disclosure disclose a display device and a method for attaching a fingerprint module. The display device comprises: a display panel, a fingerprint module and a functional flexible circuit board (FPC); a glue film is attached to a side of the display panel away from a light emitting surface, and an opening area is provided in the glue film, the functional FPC is attached to the side of the display panel away from the light emitting surface with the glue film; the fingerprint module is disposed on a side of the functional FPC close to the display panel, and the fingerprint module is embedded in the opening area of the glue film.

Disclosed are various embodiments for optimizing cubic utilization when loading items into a loading space. A current loading configuration of the loading space can be determined according to image data obtained by 3D sensors. Item data (e.g., volume, mass, type, dimensions, etc.) can be determined for incoming items to be loaded into the loading space. The current loading configuration and the item data can be used to determine an item sequence and optimal placement location for the next item to be loaded such that a cubic efficiency of the loading space is maximized and amount of air gaps between items is minimized. The current loading configuration can further be used to determine if a sensing system or an item loading system needs to be repositioned. Whether the next item was placed in the optimal placement can also be verified based on subsequent image data obtained by the 3D sensors.

Disclosed are various embodiments for optimizing cubic utilization when loading items into a loading space. A current loading configuration of the loading space can be determined according to image data obtained by 3D sensors. Item data (e.g., volume, mass, type, dimensions, etc.) can be determined for incoming items to be loaded into the loading space. The current loading configuration and the item data can be used to determine an item sequence and optimal placement location for the next item to be loaded such that a cubic efficiency of the loading space is maximized and amount of air gaps between items is minimized. The current loading configuration can further be used to determine if a sensing system or an item loading system needs to be repositioned. Whether the next item was placed in the optimal placement can also be verified based on subsequent image data obtained by the 3D sensors.