USD957966S1 - Tile sensor unit - Google Patents

Tile sensor unit Download PDF

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Publication number
USD957966S1
USD957966S1 US29/704,835 US201929704835F USD957966S US D957966 S1 USD957966 S1 US D957966S1 US 201929704835 F US201929704835 F US 201929704835F US D957966 S USD957966 S US D957966S
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United States
Prior art keywords
sensor unit
tile sensor
tile
view
ornamental design
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Active
Application number
US29/704,835
Inventor
Chris Barton
Nichole Suzanne Rouillac
Robin Nicholas Hubbard
Jonathan Chei-Feung Lau
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Guard Inc USA
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Guard Inc USA
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Priority to US29/704,835 priority Critical patent/USD957966S1/en
Assigned to GUARD, INC. reassignment GUARD, INC. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: HUBBARD, ROBIN NICHOLAS, LAU, JONATHAN CHEI-FEUNG, ROUILLAC, NICHOLE SUZANNE, BARTON, CHIS
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/80—Analysis of captured images to determine intrinsic or extrinsic camera parameters, i.e. camera calibration
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/11—Region-based segmentation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/194—Segmentation; Edge detection involving foreground-background segmentation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/50—Depth or shape recovery
    • G06T7/521—Depth or shape recovery from laser ranging, e.g. using interferometry; from the projection of structured light
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/70—Determining position or orientation of objects or cameras
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/10—Image acquisition
    • G06V10/12—Details of acquisition arrangements; Constructional details thereof
    • G06V10/14—Optical characteristics of the device performing the acquisition or on the illumination arrangements
    • G06V10/145—Illumination specially adapted for pattern recognition, e.g. using gratings
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/20—Movements or behaviour, e.g. gesture recognition
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02—Alarms for ensuring the safety of persons
    • G08B21/08—Alarms for ensuring the safety of persons responsive to the presence of persons in a body of water, e.g. a swimming pool; responsive to an abnormal condition of a body of water
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10052—Images from lightfield camera
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30196—Human being; Person

Description

FIG. 1 is a front perspective view of a tile sensor unit according to our new design;
FIG. 2 is a front view of a tile sensor unit thereof;
FIG. 3 is a rear view of a tile sensor unit thereof;
FIG. 4 is a right side view of a tile sensor unit thereof;
FIG. 5 is a left side view of a tile sensor unit thereof;
FIG. 6 is a top view of a tile sensor unit thereof; and,
FIG. 7 is a bottom view of a tile sensor unit thereof.

Claims (1)

    CLAIM
  1. The ornamental design for a tile sensor unit, as shown and described.
US29/704,835 2019-06-17 2019-09-06 Tile sensor unit Active USD957966S1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
US29/704,835 USD957966S1 (en) 2019-06-17 2019-09-06 Tile sensor unit

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US16/443,866 US20200394804A1 (en) 2019-06-17 2019-06-17 Analysis and deep learning modeling of sensor-based object detection data in bounded aquatic environments
US29/704,835 USD957966S1 (en) 2019-06-17 2019-09-06 Tile sensor unit

Related Parent Applications (1)

Application Number Title Priority Date Filing Date
US16/443,866 Continuation US20200394804A1 (en) 2019-06-17 2019-06-17 Analysis and deep learning modeling of sensor-based object detection data in bounded aquatic environments

Publications (1)

Publication Number Publication Date
USD957966S1 true USD957966S1 (en) 2022-07-19

Family

ID=73745118

Family Applications (3)

Application Number Title Priority Date Filing Date
US16/443,866 Abandoned US20200394804A1 (en) 2019-06-17 2019-06-17 Analysis and deep learning modeling of sensor-based object detection data in bounded aquatic environments
US29/704,836 Active USD939980S1 (en) 2019-06-17 2019-09-06 Data and sensor system hub
US29/704,835 Active USD957966S1 (en) 2019-06-17 2019-09-06 Tile sensor unit

Family Applications Before (2)

Application Number Title Priority Date Filing Date
US16/443,866 Abandoned US20200394804A1 (en) 2019-06-17 2019-06-17 Analysis and deep learning modeling of sensor-based object detection data in bounded aquatic environments
US29/704,836 Active USD939980S1 (en) 2019-06-17 2019-09-06 Data and sensor system hub

Country Status (4)

Country Link
US (3) US20200394804A1 (en)
EP (1) EP3983966A1 (en)
AU (1) AU2020294636A1 (en)
WO (1) WO2020257214A1 (en)

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WO2019089108A1 (en) * 2017-11-06 2019-05-09 Google Llc Methods and systems for attending to a presenting user
US20220343650A1 (en) * 2020-01-16 2022-10-27 Angarak, Inc. Image based aquatic alert system
WO2021155037A1 (en) * 2020-01-28 2021-08-05 Embodied Intelligence Inc. Identifying scene correspondences with neural networks
MX2022011994A (en) * 2020-04-22 2022-10-20 Univ Florida Cloud-based framework for processing, analyzing, and visualizing imaging data.
US11335112B2 (en) * 2020-04-27 2022-05-17 Adernco Inc. Systems and methods for identifying a unified entity from a plurality of discrete parts
CA198250S (en) * 2020-07-10 2022-05-19 Salto Systems Sl Reader
CA198251S (en) * 2020-07-10 2022-05-19 Salto Systems Sl Reader
CA198252S (en) * 2020-07-10 2022-05-19 Salto Systems Sl Reader
CN116940948A (en) * 2021-02-03 2023-10-24 索尼集团公司 Server device, generation method, electronic device generation method, database generation method, and electronic device
USD977347S1 (en) * 2021-03-03 2023-02-07 Hevo, Inc. Object detection system for electric vehicle charging
CN113179403B (en) * 2021-03-31 2023-06-06 宁波大学 Underwater video object coding method based on deep learning reconstruction
USD979434S1 (en) * 2021-04-23 2023-02-28 Otodata Wireless Network Inc Level transmitter for a tank
CN114066211B (en) * 2021-11-11 2022-08-30 北京师范大学 Watershed water environment management big data platform

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