A method of inspecting plants for contamination includes generating a first series of images of a plant, identifying a region of interest displayed in the first series of images, comparing a color parameter of the region of interest to a color criterion associated with a type of contamination, comparing a morphological parameter of the region of interest to a reference parameter associated with the type of contamination, and upon determining that the color parameter meets the color criterion and that the morphological parameter sufficiently matches the reference parameter, identifying the region of interest as a region of contamination on the plant. The method further includes transmitting an instruction to lift a cutter of a harvester up from a planting bed to avoid harvesting the plant in response to identifying the region of interest as the region of contamination, and generating a second series of images of an additional plant.

A system for imaging and analyzing a vehicle may include a frame having a central passage, wherein the central passage is configured and dimensioned to allow a vehicle to pass through. The frame may include, for example, a pair of substantially vertical legs connected at the top by a cross member, wherein the legs and cross member define the central passage. One or more bollards may be positioned in front of and/or behind the frame. A plurality of cameras within the each leg, cross member, and/or bollard may be directed toward the passage to record video images of a passing vehicle. Integrated LED array panels may provide bands of light to aid in detection of surface anomalies, for example by simultaneous analysis of symmetrical sides of the vehicle.

Monitoring operations of a polishing system includes obtaining a time-based sequence of reference images of a component of the polishing system performing operations during a test operation of the polishing system, receiving from a camera a time-based sequence of monitoring images of an equivalent component of an equivalent polishing system performing operations during polishing of a substrate, determining a difference value for the time-based sequence of monitoring images by comparing the time-based sequence of reference images to the time-based sequence of monitoring image using an image processing algorithm, determining whether the difference value exceeds a threshold, and in response to determining the difference value exceeds the threshold, indicating an excursion.

Method for detecting a defect in a zone of interest of an optical lens, the method including: an image reception step, during which a plurality of images is received, each image includes a view of the zone of interest in front of a plurality of specific patterns, each specific pattern including a bright area and a dark area, and at least one image received is saturated in light intensity; a sampling step, during which each image of the plurality of images are sampled based on a common sampling pattern; a recombination step, during which a recombined image of the zone of interest is determined based on the common sampling pattern; and a defect detection step, during which a defect is detected in the zone of interest of the optical lens based on an analysis of the recombined image.

Drone-based inventory management method and systems. One embodiment provides a drone-based inventory management system including one or more unmanned aerial vehicles (UAVs), and a central management system having an electronic processor, and a transceiver configured to communicate with the one or more UAVs. The electronic processor is configured to determine a discrepancy in inventory and select a UAV for verification. The electronic processor is also configured to determine whether weather permits UAV operation and operate the UAV in a pre-determined route when the weather permits UAV operation. The electronic processor is further configured to capture images using the UAV and determine new inventory based on captured images. The electronic processor is also configured to update inventory based on the new inventory.

A system and a method for tracing components of an electronic assembly. The method may include obtaining an image of a component of the electronic assembly, generating identification information of the component based on visual features of the component, authenticating the component based on the identification information, generating correlating information by associating the component to an electronic assembly and classifying the component to a group based on the visual features of the component.

Provided are an illegal building identification method and apparatus, a device, and a storage medium, which relate to the field of cloud computing. The specific implementation scheme is: acquiring a target image and a reference image associated with the target image; extracting a target building feature of the target image and a reference building feature of the reference image, respectively; and determining, according to the target building feature and the reference building feature, an illegal building identification result of the target image.

The present disclosure discloses an Internet of Things (IoT) system for industrial data processing, a control method, and a storage medium, and provides a technical solution for a timely adjustment of production line parameters according to image information generated during a machine vision data collection on the production line. Through a difference of the image information corresponding to different process operations, a processing situation of different process operations may be obtained, so that more accurate adjustment of the production line parameter may be achieved without increasing the system complexity, thereby effectively reducing a development cost of the IoT, and increasing accuracy of the intelligent manufacturing control.

An information device including a capturing function uses the capturing function to capture an image of a disc wheel to which a plurality of wheel fasteners are fastened. Then, the information device inspects whether any of the wheel fasteners appearing in the captured image is loose by comparing the captured image with a reference image in consideration of a reference point of the disc wheel appearing in the captured image.

The coordinate system fixing unit uses the displacement of an object under measurement between photographed images in chronological order to generate fixed-coordinate chronological images. The displacement calculation unit uses the fixed-coordinate chronological images to calculate a two-dimensional spatial distribution of the displacement of the surface of the object under measurement. The displacement difference calculation unit calculates a two-dimensional displacement difference distribution by removing an error component from the two-dimensional spatial distribution. The depth movement amount calculation unit calculates a depth movement amount from the two-dimensional displacement difference distribution. The displacement separation unit calculates in-plane displacement from the two-dimensional displacement difference distribution. The determination unit uses the in-plane displacement and/or the depth movement amount to determine whether there is an abnormality in the object under measurement.