A gaze tracking system includes a contact lens, a photodetector element, a light conditioning element and electronics. The contact lens includes a fiducial having a position. The photodetector element receives a light signal from the fiducial and provides a photodetector output signal. The light signal provides a light intensity pattern at the photodetector. The optical conditioning element receives the light signal and provides a variation in the light intensity pattern on the photodetector in response to changes in the position of the fiducial. And the electronics process the photodetector output signal to calculate the position of the fiducial. A method includes detecting a light signal from a fiducial included in a contact lens, and tracking the contact lens by analyzing the light signal.

A gaze tracking system includes a contact lens, a photodetector element, a light conditioning element and electronics. The contact lens includes a fiducial having a position. The photodetector element receives a light signal from the fiducial and provides a photodetector output signal. The light signal provides a light intensity pattern at the photodetector. The optical conditioning element receives the light signal and provides a variation in the light intensity pattern on the photodetector in response to changes in the position of the fiducial. And the electronics process the photodetector output signal to calculate the position of the fiducial. A method includes detecting a light signal from a fiducial included in a contact lens, and tracking the contact lens by analyzing the light signal.

A sensor calibration target configured for sensor calibration relative to a common frame of reference is disclosed. The sensor calibration target comprises a first surface at a first predefined depth bearing a first set of indicia at respective first heights and having respective first predefined shifts, each of the first indicia encoding a corresponding first height. The sensor calibration target further comprises a second surface at a second predefined depth bearing a second set of indicia at respective second heights and having respective second predefined shifts, each of the second indicia encoding a corresponding second height.

An acoustic biometric touch scanner device and method is disclosed. In one aspect, an acoustic fingerprint sensing device includes an array of ultrasonic transducers configured to transmit an ultrasound signal having a frequency in a range from 50 megahertz (MHz) to 500 MHz. The acoustic fingerprint ultrasonic transducers include a piezoelectric film. The acoustic fingerprint sensing device further includes a receiving surface configured to receive a finger. The acoustic fingerprint sensing device further includes a processor configured to generate an image of at least a portion of a fingerprint of the finger based on a reflection of the ultrasound signal from the finger.

In a method of using a polarimeter for improved mapping and perception of objects on the ground, the polarimeter records raw image data to obtain polarized images of an area. The raw image data is processed to form processed images. The processed images are enhanced, and objects are detected and tracked. The polarimeter may be in a vehicle on the ground or in the air.

In a method of using a polarimeter for improved mapping and perception of objects on the ground, the polarimeter records raw image data to obtain polarized images of an area. The raw image data is processed to form processed images. The processed images are enhanced, and objects are detected and tracked. The polarimeter may be in a vehicle on the ground or in the air.

A camera assembly and an electronic device having the same are provided. The camera assembly includes a main board, a cover plate, a camera, an infrared lamp and a deflection member. The mainboard and the cover plate are arranged parallel to and spaced apart from each other. The camera and the infrared lamp are arranged on a side of the main board facing towards the cover plate, and spaced apart from each other. The deflection member is arranged on a side of the cover plate facing towards the main board, and is opposite to the camera. The deflection member is configured to deflect infrared light emitted by the infrared lamp towards a direction of a central axis of the camera.

An aircrew automation system may comprise an actuation system and a computer system having a processor and one or more interfaces. The computer system can be communicatively coupled with a flight control system of an aircraft and configured to generate control commands based at least in part on flight situation data. The actuation system is operatively coupled with the computer system and comprises a robotic arm, a force sensor, and a controller. The robotic arm can be configured to engage a cockpit instrument among a plurality of cockpit instruments. The force sensor is operably coupled to the robotic arm and configured to measure a force when the robotic arm makes contact with the cockpit instrument. The controller is operably coupled with the robotic arm and the force sensor.

Environmental information is managed by a neural network. An image detection module includes a first neural network, a first communication module, a first position sensor, a first processor, and a passive element. The first neural network includes an imaging device. The imaging device has a function of obtaining an image, and the first position sensor has a function of detecting positional information on where the image is obtained. When the first neural network determines whether the image has learned features, the first processor can transmit the positional information on where the image is obtained. The first processor receives a detection result through the first communication module, and the first processor can operate the passive element in accordance with the detection result.

Environmental information is managed by a neural network. An image detection module includes a first neural network, a first communication module, a first position sensor, a first processor, and a passive element. The first neural network includes an imaging device. The imaging device has a function of obtaining an image, and the first position sensor has a function of detecting positional information on where the image is obtained. When the first neural network determines whether the image has learned features, the first processor can transmit the positional information on where the image is obtained. The first processor receives a detection result through the first communication module, and the first processor can operate the passive element in accordance with the detection result.