A terahertz security inspection robot is provided, including: a housing including a main housing and a head housing rotatably connected to the main housing; a terahertz wave imaging mechanism including a mirror assembly arranged in the head housing and a detector array arranged in the main housing; and a rotating mechanism configured to cause the head housing and the mirror assembly located in the head housing to rotate with respect to the main housing, so that the mirror assembly of the terahertz wave imaging mechanism is oriented in different directions to respectively perform terahertz scanning and imaging on objects to be inspected in different inspection regions in a security inspection scene.

A terahertz security inspection robot is provided, including: a housing including a main housing and a head housing rotatably connected to the main housing; a terahertz wave imaging mechanism including a mirror assembly arranged in the head housing and a detector array arranged in the main housing; and a rotating mechanism configured to cause the head housing and the mirror assembly located in the head housing to rotate with respect to the main housing, so that the mirror assembly of the terahertz wave imaging mechanism is oriented in different directions to respectively perform terahertz scanning and imaging on objects to be inspected in different inspection regions in a security inspection scene.

A computer assisted method for processing output from a mmWave sensor to derive a more reliable count of people in a room, zone or space being monitored by the sensor. In some examples, damping is applied to a varying “people count” signal from the sensor. The damping reduces volatility of the people count and avoids counting anomalous false positive detections. When the people count value decreases, damping may be applied more heavily to disregard intermittent false negatives where the sensor momentarily fails to detect an actual person. In some examples, the mmWave sensor provides point clouds representing the approximate shape and location of detected apparent objects, some of which may be people. Some example methods define digital targets corresponding to the point clouds. The targets are deemed to represent real people if the objects and their corresponding targets have sufficient lifespan and exhibit movement within a predetermined normal range.

A vehicular vision system includes a camera disposed within a cabin of a vehicle equipped with the vehicular vision system and positionable to view within an interior cabin of the vehicle and positionable to view exterior of the vehicle through at least one window of the vehicle. The system includes an actuator disposed at the vehicle and electrically operable to rotate the camera about an axis relative to the vehicle. Multiple frames of image data captured by the camera as the camera rotates about the axis are processed at an ECU for a plurality of vehicle functions. Respective frames of image data of the multiple frames of captured image data are processed for respective vehicle functions of the plurality of vehicle functions based on respective viewing directions of the camera when the respective frames of image data are captured by the camera.

A vehicular vision system includes a camera disposed within a cabin of a vehicle equipped with the vehicular vision system and positionable to view within an interior cabin of the vehicle and positionable to view exterior of the vehicle through at least one window of the vehicle. The system includes an actuator disposed at the vehicle and electrically operable to rotate the camera about an axis relative to the vehicle. Multiple frames of image data captured by the camera as the camera rotates about the axis are processed at an ECU for a plurality of vehicle functions. Respective frames of image data of the multiple frames of captured image data are processed for respective vehicle functions of the plurality of vehicle functions based on respective viewing directions of the camera when the respective frames of image data are captured by the camera.

An optical fingerprint imaging device, including a substrate, an imaging module, at least one light emitting element, a light shielding element, a case, and a pressing substrate, is provided. The light shielding element is disposed between the imaging module and the light emitting element. The optical fingerprint imaging device satisfies conditional expressions, h≤H≤h+(R/tan(θ/2)) and Ravg<S<5Ravg, where h is a height from a field angle origin of the imaging module to the substrate, H is a height of the light shielding element at a measurement position, R is a distance from a center of the imaging module to the measurement position, θ is an angle of a field angle of the imaging module, Ravg is an average value of distances from the center to measurement positions of the light shielding element, and S is a distance from the center to a center of the light emitting element.

An optical fingerprint imaging device, including a substrate, an imaging module, at least one light emitting element, a light shielding element, a case, and a pressing substrate, is provided. The light shielding element is disposed between the imaging module and the light emitting element. The optical fingerprint imaging device satisfies conditional expressions, h≤H≤h+(R/tan(θ/2)) and Ravg<S<5Ravg, where h is a height from a field angle origin of the imaging module to the substrate, H is a height of the light shielding element at a measurement position, R is a distance from a center of the imaging module to the measurement position, θ is an angle of a field angle of the imaging module, Ravg is an average value of distances from the center to measurement positions of the light shielding element, and S is a distance from the center to a center of the light emitting element.

Systems and methods are disclosed for dynamic image capture and processing. In one implementation, a processing device receives a first video stream, the first video stream being captured via an optical sensor configured with a first set of capture parameters. The processing device processes the first video stream with a first set of processing parameters. The processing device receives a second video stream, the second video stream being captured via the optical sensor configured with a second set of capture parameters. The processing device processes the second video stream with a second set of processing parameters. The processing device provides an output based on at least one of (a) the first video stream, as processed, or (b) the second video stream, as processed.

Systems and methods are disclosed for dynamic image capture and processing. In one implementation, a processing device receives a first video stream, the first video stream being captured via an optical sensor configured with a first set of capture parameters. The processing device processes the first video stream with a first set of processing parameters. The processing device receives a second video stream, the second video stream being captured via the optical sensor configured with a second set of capture parameters. The processing device processes the second video stream with a second set of processing parameters. The processing device provides an output based on at least one of (a) the first video stream, as processed, or (b) the second video stream, as processed.

An image capture device is mounted in a vehicle. The image capture device includes: an image capture unit; and a setting unit that sets an image capture condition for each region of the image capture unit each having a plurality of pixels, or for each pixel, based upon at least one of a state exterior to the vehicle and a state of the vehicle.