Systems and methods for optimizing sensory signal capturing by reconfiguring robotic device configurations. In an implementation, upcoming sensor readings are predicted based on navigation path data. Based on the predicted sensor readings, optimized sensor parameters that will improve the quality of resulting sensory signals are determined. Sensors of a robotic device are reconfigured based on the optimized sensor parameters. In another implementation, deficiencies in sensory signals are determined. A motion configuration of a robotic device is optimized based on the deficiencies to allow for capturing better quality sensory signals.

Systems and methods for authentication with resistance to replay attacks are provided. A device may be used to capture image data of a user to authenticate or identify the user. Authentication information may be obtained by processing and analyzing the captured image data. Data about a state of the imaging device and the captured image data may be used for fraud detection. The data may be collected when the image data is processed and analyzed. The state of the imaging device and captured image data are unlikely to be repeated. The detected repetition of a state of the imaging device and captured image data may be a cause for increasing the likelihood that a replay attack is taking place. The device may be used to perform a transaction.

An electronic device is provided, the electronic device having a keyboard including a biometric input device. The biometric input device may be a biometric key or button. A cap of a biometric key or button may include a textured ceramic cover, such as a textured sapphire cover. The cap may further include a rear decorative coating and a front antireflective coating disposed on or over the textured ceramic cover. The cap may have one or more visual and or tactile properties which resemble those of an adjacent key of the keyboard.

An image sensor comprises a pixel array having a plurality of pixels arranged in a matrix, a readout unit that controls readout of signals from the plurality of pixels, an output unit that outputs the read signals as an image signal and an extraction unit that performs feature amount extraction processing to extract a feature amount using the read signals. The readout of the signals by the readout unit and the feature amount extraction processing by the extraction unit are processed in parallel.

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.

A system and method detects falling incidents on structures such as cruise vessels, oil rigs, overpasses, and buildings, and also detects overboarding movements onto structures such as cargo ships. The system includes at least two opposed imaging devices which record video streams of a detection cuboid within an overlapping region of view volumes for the imaging devices. The imaging devices monitor objects that pass through the cuboid. Identified objects within the video streams are paired, their conformance is determined, and real-world information such as size, trajectory, and location is determined.

The present teaching relates to method, system, medium, and implementations for sensor calibration. An ego vehicle determines whether a sensor deployed thereon to facilitate autonomous driving needs to be calibrated and sends, if it is determined that the sensor needs to be calibrated, a request for assistance in collaborative calibration of the sensor to a center. The request includes at least a first position of the ego vehicle on the route and a first configuration of the sensor with respect to the ego vehicle. When the ego vehicle receives a calibration assistant package, which includes information associated with a collaborative means present along the route and to be used to assist the ego vehicle to calibrate the sensor, it identifies, based on the information, the collaborative means along the route when the ego vehicle is in a vicinity of the collaborative means in order to capture a target present on the collaborative means to enable calibration of the sensor.

A moiré image processing device is provided, including a light-transmitting film, a light sensor, and an image processor. The light-transmitting film includes a plurality of microlenses, and a light-incident surface and a light-exit surface, where the microlenses are disposed on the light-incident surface, the light-exit surface, or a combination thereof according to a distribution pattern. The light sensor includes a photosensitive surface, where the photosensitive surface faces the light-exit surface, there are a plurality of pixels on the photosensitive surface, and the pixels sense the microlenses to obtain a photosensitive image corresponding to the distribution pattern. The image processor is coupled to the light sensor, where the image processor performs, according to a virtual image and the photosensitive image, image processing of simulating a moiré effect to generate a moiré image, where the virtual image corresponds to the distribution pattern and is similar to the photosensitive image.

In some aspects, the present disclosure provides a method for managing a command queue in a universal flash storage (UFS) host device. The method includes determining to power on a first subsystem of a system-on-a-chip (SoC), wherein the determination to power on the first subsystem is made by a second subsystem of the SoC based on detection of user identity data contained in a first image frame during an initial biometric detection process. In certain aspects, the second subsystem is configured to operate independent of the first subsystem and control power to the first subsystem. In certain aspects, the second subsystem includes a second optical sensor, a set of ambient sensors, and a second processor configured to detect, via a set of ambient sensors, an event comprising one or more of an environmental event outside of the device or a motion event of the device.

An information processing method is executed by a computer, and includes: obtaining a first image generated by a multi-pinhole camera; extracting at least one point spread function (PSF) in each of a plurality of regions in the first image; obtaining a second image different from the first image, and reference data used in machine learning for the second image; generating a third image, by convolving each of a plurality of regions in the second image with at least one PSF extracted in a corresponding region of the plurality of regions in the first image; and outputting a pair of the reference data and the third image.