HOUSE STATUS PROVISION APPARATUS AND HOUSE STATUS PROVISION METHOD

    公开(公告)号:US20240428581A1

    公开(公告)日:2024-12-26

    申请号:US18822828

    申请日:2024-09-03

    Inventor: Shinji HAYASHI

    Abstract: An aerially captured image of a disaster region is matched with a map stored in a database. External shape information of a house on the aerially captured image is acquired from a result of matching processing and from region information of the house included in the map, and a house image showing the house is extracted from the aerially captured image based on the external shape information of the house. Disaster status of each house is recognized based on the extracted house image. The house is classified as any of a plurality of classes of intactness, partial collapse, and complete collapse using a recognition result. The house on the aerially captured image is associated with the classified class. The aerially captured image is combined with information indicating a classification result and is displayed on an image display device.

    Virtual object machine learning
    33.
    发明授权

    公开(公告)号:US12169765B2

    公开(公告)日:2024-12-17

    申请号:US18244016

    申请日:2023-09-08

    Applicant: Snap Inc.

    Abstract: A machine learning scheme can be trained on a set of labeled training images of a subject in different poses, with different textures, and with different background environments. The label or marker data of the subject may be stored as metadata to a 3D model of the subject or rendered images of the subject. The machine learning scheme may be implemented as a supervised learning scheme that can automatically identify the labeled data to create a classification model. The classification model can classify a depicted subject in many different environments and arrangements (e.g., poses).

    Plant feature detection using captured images

    公开(公告)号:US12166952B2

    公开(公告)日:2024-12-10

    申请号:US18479504

    申请日:2023-10-02

    Inventor: Lee Kamp Redden

    Abstract: Described are methods for identifying the in-field positions of plant features on a plant by plant basis. These positions are determined based on images captured as a vehicle (e.g., tractor, sprayer, etc.) including one or more cameras travels through the field along a row of crops. The in-field positions of the plant features are useful for a variety of purposes including, for example, generating three-dimensional data models of plants growing in the field, assessing plant growth and phenotypic features, determining what kinds of treatments to apply including both where to apply the treatments and how much, determining whether to remove weeds or other undesirable plants, and so on.

    Image processing method and apparatus

    公开(公告)号:US12165290B1

    公开(公告)日:2024-12-10

    申请号:US18709825

    申请日:2021-12-31

    Inventor: Jianjie Cheng

    Abstract: An image processing method and apparatus are provided. The method includes: acquiring a to-be-processed image; determining a weather type corresponding to the to-be-processed image; according to the weather type, acquiring an environment noise feature in the to-be-processed image corresponding to the weather type; and obtaining a non-noise image feature of the to-be-processed image according to the environment noise feature, and according to the environment noise feature, the non-noise image feature and the to-be-processed image, generating a denoised image corresponding to the to-be-processed image.

    MONITORING AND EMERGENCY CONTROL SYSTEM FOR VECTOR PSYLLID OF CITRUS HUANGLONGBING

    公开(公告)号:US20240404286A1

    公开(公告)日:2024-12-05

    申请号:US18420374

    申请日:2024-01-23

    Abstract: A monitoring and emergency control system for vector psyllid of citrus huanglongbing (HLB) is disclosed. The system includes a video acquisition module, an image recognition module, a control console, an early warning module and an unmanned aerial vehicle (UAV)-based flight prevention module. The video acquisition module acquires images by using 360-degree dead-angle-free cameras, the cameras are arranged at a plurality of points at a periphery and interior of an orchard, and each camera is numbered. The video acquisition module acquires real-time images, and transmits the real-time images to the image recognition module in real time for recognition and determination. The control console determines whether to send out warning information to an orchard manager and a flight prevention instruction according to a feedback result. The UAV-based flight prevention module receives the instruction, and then carries a pesticide box to take off to a region to kill the psyllid by applying pesticides.

    SYSTEM AND METHOD OF INTELLIGENT VEGETATION MANAGEMENT

    公开(公告)号:US20240395032A1

    公开(公告)日:2024-11-28

    申请号:US18793333

    申请日:2024-08-02

    Applicant: AIDash, Inc.

    Abstract: A method comprising receiving a first set of aerial images of a geographic area, receiving locations of assets, determining a likely location of at least one asset within each image, creating one or more bounding boxes, encompassing the likely location of one or more assets within each of the images, providing any number of the images to a convolutional neural network to classify pixels, the classification of each of the pixels indicating if the pixels are part of one or more obstructions or are part of a different classification, determining at least one zone, the zone encompassing the at least one asset, determining a distance between at least one pixel part of an obstruction and the zone, generating a criticality score based on the distance, comparing the criticality score to a threshold, and providing an alert of a future hazardous condition based on the criticality score.

    SYSTEMS AND METHODS FOR MAPPING PROJECT SITES USING GROUND AND AERIAL IMAGERY

    公开(公告)号:US20240395031A1

    公开(公告)日:2024-11-28

    申请号:US18417991

    申请日:2024-01-19

    Abstract: The systems and methods described herein provide improvements to mapping project sites by using ground and/or aerial imagery. A system can receive one or more ground images of site locations within a site area and metadata associated with each of the one or more ground images. The metadata can include GPS coordinates that correspond to the one or more ground images. The system can determine that aerial imagery represents at least the one or more site locations and determine a relative position of each of the one or more site locations within the aerial imagery. Such a determination may be based on the metadata (e.g., on the GPS coordinates). The system can then generate data to display on a user interface one or more features, such as a map, an indication of the site area, and one or more indicators.

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