Methods and systems for filtering a trigger signal from an encoder for triggering an image capturing device. In embodiments, a trigger signal may be received as an input signal from an encoder including a sequence of pulses for triggering the image capturing device. In embodiments, an average pulse frequency of the trigger signal over a period of time may be determined based on sampling a number of pulses in the trigger signal over the period of time, and frequency restrictions may be applied to the average pulse frequency to generate a trigger frequency. In embodiments, an output frequency may be determined based on the trigger frequency, and a pulse width modulation (PWM) signal having a frequency based on the output frequency may be determined for triggering the image capturing device.

A method for detecting a moisture damage on an asphalt pavement based on adaptive selection of a penetrating radar (GPR) image grayscale includes the following steps: step 1: obtaining a moisture damage GPR image dataset through asphalt pavement investigation by using a ground GPR, where a GPR image with an appropriate plot scale is selected according to an adaptive GPR image selection method; step 2: adjusting image resolution, specifically, scaling a resolution of an initial GPR image dataset of a damage directly to 224×224 to obtain a BD dataset; step 3: inputting the dataset into a recognition model, specifically, inputting the BD dataset obtained in step 2 into the recognition model, performing operation by the recognition model, and performing step 4; and step 4: outputting a moisture damage result. The new method truly realizes automatic and intelligent target detection based on the GPR.

The present disclosure relates to a method of performing, by an image processing circuit, an inference operation comprising: capturing first and second images using first and second values respectively of an image capture parameter; generating, for a first region of the first and second images, first and second estimates respectively of an image quality metric, wherein the image quality metric is dependent on the value of the image capture parameter; calculating first and second distances between the first and second estimates respectively and first and second target levels respectively; and supplying a result of the inference operation performed on the first region of either the first or second image selected based on the first and second distances.

A biometric sensor may include a scanner configured to capture a biometric data and an adjustment mechanism configured to respond to a force applied to the biometric sensor by shifting the biometric sensor from a neutral position to an adjusted position. The adjustment mechanism may be configured to respond to the removal of the force by returning the biometric sensor to the neutral position. While the biometric sensor is in the neutral position, the scanner may be capable of capturing a biometric data of a majority of users interacting with the apparatus. Accordingly, the biometric sensor may be able to operate with minimal adjustments. The biometric sensor may be part of a dispensing cabinet such that the biometric data captured by the biometric sensor may be used to control access to the dispensing cabinet. Related methods are also disclosed.

A biometric sensor may include a scanner configured to capture a biometric data and an adjustment mechanism configured to respond to a force applied to the biometric sensor by shifting the biometric sensor from a neutral position to an adjusted position. The adjustment mechanism may be configured to respond to the removal of the force by returning the biometric sensor to the neutral position. While the biometric sensor is in the neutral position, the scanner may be capable of capturing a biometric data of a majority of users interacting with the apparatus. Accordingly, the biometric sensor may be able to operate with minimal adjustments. The biometric sensor may be part of a dispensing cabinet such that the biometric data captured by the biometric sensor may be used to control access to the dispensing cabinet. Related methods are also disclosed.

Provided is an Aobject-based short range measurement method, a short range measurement device, a short range measurement system, and a storage medium. The short range measurement method includes: identifying a target object, and acquiring border information about an ROI of the target object; acquiring two groups of geometric constraint points of the target object with respect to a left-eye camera and a right-eye camera respectively; acquiring pixel coordinates of each geometric constraint point and a border pixel size corresponding to the border information, and calculating a monocular distance estimation value of the target object; acquiring an overall disparity of the two groups of geometric constraint points, and calculating a binocular distance estimation value of the target object in accordance with the overall disparity; and acquiring a final measurement value in accordance with the monocular distance estimation value and the binocular distance estimation value.

Systems and methods for tracking inventory items in an area of real space are disclosed. The method includes receiving a signal generated in dependence on sensors. The signal indicates a change to a portion of an image of an area of real space. The method includes, in response to receiving the signal, implementing a trained location detection model to determine, based on inputs, whether an inventory item identified in the portion of the image has changed a position in the area of real space. The method includes implementing a trained item classification model to determine a classification of the inventory item. The method includes updating an inventory database with inventory item data determined in dependence on the classification of the inventory item to provide an updated map of the area of real space as a result of the received signal indicating the change to the portion of the image.

The present disclosure provides techniques for optical inspection systems and methods for moving objects. In some embodiments, an optical inspection system includes: an image capturing device configured to acquire images from moving objects; a first-stage storage system; a second-stage processor; a second-stage storage system; a third-stage processor; and a third-stage storage system. In some embodiments, an optical inspection system, includes: an image capturing device; a volatile memory system; a first and a second second-stage processor; and a third-stage storage system. The second-stage processor or the first second-stage processor can be configured to analyze the images from the image capturing device. The third-stage processor or the second second-stage processor can be configured to process information from a processor and/or storage system and produce a report.

The present disclosure provides techniques for optical inspection systems and methods for moving objects. In some embodiments, an optical inspection system includes: an image capturing device configured to acquire images from moving objects; a first-stage storage system; a second-stage processor; a second-stage storage system; a third-stage processor; and a third-stage storage system. In some embodiments, an optical inspection system, includes: an image capturing device; a volatile memory system; a first and a second second-stage processor; and a third-stage storage system. The second-stage processor or the first second-stage processor can be configured to analyze the images from the image capturing device. The third-stage processor or the second second-stage processor can be configured to process information from a processor and/or storage system and produce a report.

A film inspection system includes a film positioner having a film holder configured to hold a printed film having a printed layer on a substrate of the printed film. The film holder is configured to fix a perimeter of the printed film. The film positioner includes a film stretcher positioned relative to the film holder to interface with the printed film. The film stretcher is movable relative to the film holder to stretch the printed film at a stretch area while the perimeter of the printed film is fixed by the film holder. The film inspection system includes a vision system having an imaging device configured to image the printed film at a scan area within the stretch area. The film holder and the imaging device are movable relative to each other to move the scan area along the printed layer to image the printed layer of the printed film.