A sensor device includes an array sensor having a plurality of detection elements arrayed in one or two dimensional manner, a signal processing unit configured to acquire a detection signal by the array sensor and perform signal processing, and a calculation unit. The calculation unit detects an object from the detection signal by the array sensor, and gives an instruction, to the signal processing unit, on region information generated on the basis of the detection of the object as region information regarding the acquisition of the detection signal from the array sensor or the signal processing for the detection signal.

An object identification system and computer implemented method are described. The system includes a classification database encoding data on each of a plurality of pre-classified objects, an imaging input interface configured to receive imaging data of an object from an imaging scanner, the imaging data including imaging data on internal components of the object, an imaging processor configured to receive the imaging data from the imaging input interface and to orient and scale the imaging data according to a predetermined grid reference to generate corrected image data, and a classifier configured to process the corrected image data to segment the image, the classifier being further configured to match the object to one of the pre-classified objects in the classification database in dependence on the segments of the image and on the encoded data in the classification database, the classifier being further configured to identify and output differences between one or more segments of the image and the matched pre-classified object.

A multi-spectral vehicular system for providing pre-collision alerts, comprising two pairs of stereoscopic infrared (IR) and visible light (VL) sensors, each of which providing acquired image streams from a mutual field of view, which are synchronized to provide stereoscopic vision; a data fusion module for mutually processing the data streams, to detect objects within the field of view and calculating distances to detected objects; a cellular based communication module for allowing communication between the sensors and mobile phones/Infotainment systems of the vehicle. The module runs a dedicated background application that is adapted to monitor the vicinity of the vehicle to detect other vehicles having a similar system; calculate speed and heading azimuth of each of the other vehicles; and provide alerts to the driver of the vehicle whenever other vehicles having a similar system are in a path of collision with the vehicle, based on the calculation and on the speed of the vehicle.

There is provided a biometric imaging system comprising a display panel. The display panel in turn comprises: a plurality of display pixels configured to emit visible light and controllable to form an image in the display; and a plurality of non-visible light emitting elements configured to emit linearly polarized non-visible light; a camera configured to receive polarized non-visible light having an orientation which is rotated with respect to the emitted linearly polarized light; and control circuitry configured to: activate the plurality of non-visible light emitting elements to emit linearly polarized light towards a biometric object; and control the camera to capture an image based on light reflected by the biometric object having a polarization which is rotated with respect to the emitted linearly polarized light.

Embodiments for personalizing operations of an image capturing device by a processor. A combination of one or more objects and features along with associated settings of the image capturing device captured in an image may be classified. One or more personalized patterns of the settings of the image capturing device may be determined according to the classifying. The one or more personalized patterns of the settings of the image capturing device may be applied for capturing a subsequent image.

A system is disclosed for providing extrinsic calibration of a camera to a relative working environment of a programmable motion device that includes an end-effector. The system includes a fiducial located at or near the end-effector, at least one camera system for viewing the fiducial as the programmable motion device moves in at least three degrees of freedom, and for capturing a plurality of images containing the fiducial, and a calibration system for analyzing the plurality of images to determine a fiducial location with respect to the camera to permit calibration of the camera with the programmable motion device.

A texture recognition device and a driving method of a texture recognition device (100) are provided. The texture recognition device has a touch side, and includes: a light source array, an image sensor array and a light valve structure; the image sensor array is configured to receive light emitted from the light source array and then reflected to the image sensor array by a texture for a texture image collection; the light valve structure is disposed on a side of the light source array close to a touch side and is configured to control a first region to be in a light transmission state in response to a control signal, so as to allow light emitted from the light source array to pass through the first region to form a first photosensitive light source in the light transmission state.

A system for sensing and controlling eye contact for a robot. The system includes a robotic figure with a movable eye. The system includes a light source positioned in the robotic figure to output light through a light outlet of the eye. A light sensor is included that senses light striking surfaces in a physical space in which the robotic figure is positioned including the output light from the light source. The system includes an image processor processing output of the light sensor to identify a location of a target formed by the output light striking surfaces in the physical space and to identify a location of a face of a human. Further, the system includes a robot controller generating eye movement control signals based on the location of the target and the location of the face to position the eye to provide eye contact with the human observer.

For patient model estimation from surface data in a medical system, a stream or sequence of depth camera captures are performed. The fitting of the patient model is divided between different times or parts of the sequence, using the streaming capture to distribute processing and account for patient movement. Less manual involvement may be needed due to the regular availability of image captures. Subsequent fitting may benefit from previous fitting.

A foldable display device includes a flexible substrate, a display layer disposed on the flexible substrate, and a biometric sensing structure overlapping the flexible substrate from a top view and having a biometric sensing region. A ratio of a total area of the biometric sensing region to a total area of the flexible substrate is in a range from 0.6 to 1.