Method, computer device, and storage medium for exploring and collecting scene reconstruction data

    公开(公告)号:US11640696B2

    公开(公告)日:2023-05-02

    申请号:US17481672

    申请日:2021-09-22

    发明人: Hui Huang Yilin Liu

    摘要: A method, computer device, and storage medium for exploring and collecting scene reconstruction data. The method includes: capturing a scene image; performing real-time environment perception on the scene image to detect object to be reconstructed in the scene image and reconstructing three-dimensional representation data of the object to be reconstructed; determining a reconstruction target in the object to be reconstructed based on the three-dimensional representation data of the object to be reconstructed and a preset distance threshold; generating an exploration path according to a preset exploration path planning algorithm and exploring an area to be reconstructed according to the exploration path; and collecting reconstruction data of the reconstruction target according to the preset exploration path planning algorithm when the reconstruction target is reached.

    PLANT FEATURE DETECTION USING CAPTURED IMAGES

    公开(公告)号:US20230127880A1

    公开(公告)日:2023-04-27

    申请号:US18082312

    申请日:2022-12-15

    发明人: Lee Kamp Redden

    摘要: 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.

    Method for monitoring drug preparation

    公开(公告)号:US11637993B2

    公开(公告)日:2023-04-25

    申请号:US17577119

    申请日:2022-01-17

    申请人: EUREKAM

    摘要: The invention aims to solve the problems of security during the production of drug preparations by dematerializing the manufacturing order using a graphic interface combined with a comparative video analysis. Said comparison can trigger a suitable warning with real-time monitoring and preferably subsequent inspection of the preparation. According to the invention, a secure imaging system for drug preparations on a predetermined site comprises a dynamic graphic interface including at least one processing camera having a focal distance adjusted for the detection of objects and connected to a digital unit for managing video signals from the processing camera. Said unit has means for establishing a comparison between the stored data of the in-process preparation using first images corresponding to the video signals and steps for preparing stored prescriptions and means for selecting a prescription in accordance with said comparison. Warning means are activated in the event that at least one step of the indexed preparation does not comply with the corresponding step of the selected prescription. The invention also relates to a filming device, a mounting for positioning objects and a system including the filming device and the mounting for positioning objects according to the invention.

    Utilizing mobile video to provide support for vehicle manual, repairs, and usage

    公开(公告)号:US11631283B2

    公开(公告)日:2023-04-18

    申请号:US16455574

    申请日:2019-06-27

    摘要: A system for providing vehicle information to a mobile device includes a network access device to receive a request including image data corresponding to a portion of a vehicle. The system further includes a memory to store content related to vehicles. The system further includes a processor designed to identify a model of the vehicle based on the request for the vehicle information and to identify the portion of the vehicle based on the request for the vehicle information. The processor is further designed to determine a type of information requested based on the request for the vehicle information and to identify applicable content from the memory based on the identified model of the vehicle, the identified portion of the vehicle, and the identified type of information requested. The processor is further designed to control the network access device to transmit the applicable content to the remote device.

    System and method for deep labeling

    公开(公告)号:US11631236B2

    公开(公告)日:2023-04-18

    申请号:US15920124

    申请日:2018-03-13

    摘要: An apparatus for contextual execution comprises a processor, and a memory containing instructions, which when executed by the processor, cause the apparatus to receive, from a user terminal, a control input associated with an intent, obtain location data associated with a location of the user terminal, and determine a scored set of execution options associated with the control input. Further, the instructions, when executed by the processor cause the apparatus to obtain a contextual label associated with the location data, the label determined based on the application of one or more adapted pretrained deep learning models to the location data.

    SCENE-BASED AUTOMATIC WHITE BALANCE

    公开(公告)号:US20230113349A1

    公开(公告)日:2023-04-13

    申请号:US18082027

    申请日:2022-12-15

    申请人: GoPro, Inc.

    摘要: Scene-based automatic white balance correction may be performed by obtaining an input image. A histogram may be computed from an image thumbnail. The scene-based automatic white balance correction may include classifying a scene. The scene-based automatic white balance correction may include learning a first filter and a second filter. The first filter and the second filter may be learned from one or several different instances of the raw image thumbnail, the augmented image thumbnail, the scene classification, or any combination thereof. The scene-based automatic white balance correction may include applying the filter to the histogram to determine white balance correction coefficients and obtain a processed image.