A platform with an auto-router takes into account non-navigation data, such as IR image sensor data or other non-navigation data to develop a route for a platform. The non-navigation data may be obtained from existing non-navigation sensors carried by the platform. The non-navigation data is fed to an auto-router that takes into account the non-navigation data to generate or dynamically alter a route for the platform.

Techniques are disclosed for systems and methods for water non-water segmentation of navigational imagery to assist in the autonomous navigation of mobile structures. An imagery based navigation system includes a logic device configured to communicate with an imaging module coupled to a mobile structure and/or configured to capture images of an environment about the mobile structure. The logic device may be configured to receive at least one image from the imaging module; determine a water/non-water segmented image based, at least in part, on the received at least one image, and generate a range chart corresponding to the environment about the mobile structure based, at least in part, on the determined water/non-water segmented image and/or the received at least one image.

Various embodiments include systems and methods of arthropod detection using an electronic arthropod detection device. The electronic arthropod detection device may scan a surface or a subject using a terahertz sensor that is sensitive to a terahertz band of electromagnetic radiation to detect the presence or likely presence of an arthropod in a region of interest (ROI). A camera sensitive to a visible band of electromagnetic radiation captures at least one image and provides the image(s) to an object detection model in response to determining that an arthropod is or is likely present in the ROI. A processor may initiate an arthropod detected procedure in response to detecting an arthropod in the ROI.

Various embodiments include systems and methods of arthropod detection using an electronic arthropod detection device. The electronic arthropod detection device may scan a surface or a subject using a terahertz sensor that is sensitive to a terahertz band of electromagnetic radiation to detect the presence or likely presence of an arthropod in a region of interest (ROI). A camera sensitive to a visible band of electromagnetic radiation captures at least one image and provides the image(s) to an object detection model in response to determining that an arthropod is or is likely present in the ROI. A processor may initiate an arthropod detected procedure in response to detecting an arthropod in the ROI.

In one implementation, a method activates an unmanned aircraft inside a vehicle to capture images of the vehicle interior. The method accesses a flight path for the unmanned aircraft and receives data associated with the vehicle's current movement. The method adjusts the flight path of the unmanned aircraft to compensate for the vehicle's current movement.

A method for biometric identification includes: acquiring a first fingerprint image by using a first image capturing mode, where the first fingerprint image is used for first biometric identification, and the first biometric identification includes fingerprint identification; and acquiring a plurality of frames of second fingerprint images by using a second image capturing mode, where the plurality of frames of second fingerprint images are used for second biometric identification, and the second biometric identification includes at least one of heart rate detection, blood oxygen detection or living body detection, and the first image capturing mode is different from the second image capturing mode. The method for biometric identification is beneficial to improve detection performance.

A method for biometric identification includes: acquiring a first fingerprint image by using a first image capturing mode, where the first fingerprint image is used for first biometric identification, and the first biometric identification includes fingerprint identification; and acquiring a plurality of frames of second fingerprint images by using a second image capturing mode, where the plurality of frames of second fingerprint images are used for second biometric identification, and the second biometric identification includes at least one of heart rate detection, blood oxygen detection or living body detection, and the first image capturing mode is different from the second image capturing mode. The method for biometric identification is beneficial to improve detection performance.

An intelligent smog-penetrating optical imaging detection device and a method of thereof, and belongs to the technical field of photoelectric imaging. The intensity information, the spectrum information, and the polarization information of light are organically combined, the three functions of intensity imaging, spectrum imaging and polarization imaging can be achieved, traditional imaging detection is beneficially supplemented, smog can be penetrated, the image contrast of imaging is improved, and therefore the working distance is increased. The intensity information reflects the detection distance, the target shape, the target size and the like; the spectrum information reflects material components, surface morphology and the like of a space target; the polarization information reflects the material and roughness of the target and the contrast with the background; and the intensity, spectrum and polarization three-dimensional information is jointly applied, the image contrast can be increased by 2-3 times.

An intelligent smog-penetrating optical imaging detection device and a method of thereof, and belongs to the technical field of photoelectric imaging. The intensity information, the spectrum information, and the polarization information of light are organically combined, the three functions of intensity imaging, spectrum imaging and polarization imaging can be achieved, traditional imaging detection is beneficially supplemented, smog can be penetrated, the image contrast of imaging is improved, and therefore the working distance is increased. The intensity information reflects the detection distance, the target shape, the target size and the like; the spectrum information reflects material components, surface morphology and the like of a space target; the polarization information reflects the material and roughness of the target and the contrast with the background; and the intensity, spectrum and polarization three-dimensional information is jointly applied, the image contrast can be increased by 2-3 times.

A method for depth sensing from an image of a projected pattern is performed at an electronic device with one or more processors and memory. The method includes receiving an image of a projection of an illumination pattern; for a portion of the image, selecting a candidate image of a plurality of candidate images by comparing the portion of the image with a plurality of candidate images; and determining a depth for the portion of the image based on depth information associated with the selected candidate image. Related electronic devices and computer readable storage medium are also disclosed.