WO2020027752A3 - A method for detecting child passengers in front seats of vehicles - Google Patents

A method for detecting child passengers in front seats of vehicles Download PDF

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Publication number
WO2020027752A3
WO2020027752A3 PCT/TR2019/050313 TR2019050313W WO2020027752A3 WO 2020027752 A3 WO2020027752 A3 WO 2020027752A3 TR 2019050313 W TR2019050313 W TR 2019050313W WO 2020027752 A3 WO2020027752 A3 WO 2020027752A3
Authority
WO
WIPO (PCT)
Prior art keywords
vehicles
front seats
child passengers
detecting child
detecting
Prior art date
Application number
PCT/TR2019/050313
Other languages
French (fr)
Other versions
WO2020027752A2 (en
Inventor
Yusuf Oğuzhan ARTAN
Anil ATVAR
Burak BALCI
Alperen ELİHOŞ
Bensu ALKAN
Original Assignee
Havelsan Hava Elektronik Sanayi Ve Ticaret Anonim Sirketi
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Havelsan Hava Elektronik Sanayi Ve Ticaret Anonim Sirketi filed Critical Havelsan Hava Elektronik Sanayi Ve Ticaret Anonim Sirketi
Publication of WO2020027752A2 publication Critical patent/WO2020027752A2/en
Publication of WO2020027752A3 publication Critical patent/WO2020027752A3/en

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    • 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
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • 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
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • 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
    • G06V20/59—Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
    • G06V20/593—Recognising seat occupancy
    • 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
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G06N20/10—Machine learning using kernel methods, e.g. support vector machines [SVM]
    • 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
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/178—Human faces, e.g. facial parts, sketches or expressions estimating age from face image; using age information for improving recognition

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Multimedia (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Molecular Biology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Mathematical Physics (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Medical Informatics (AREA)
  • Human Computer Interaction (AREA)
  • Databases & Information Systems (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Cosmetics (AREA)
  • Image Analysis (AREA)
  • Emergency Alarm Devices (AREA)

Abstract

The invention relates to a detection system (1) and method (100) enabling the automatic detection of small children sitting on the front seats of vehicles (A) by means of utilizing techniques including the processing of the images taken along the road, machine learning and deep learning, and that enables the detected images to be transmitted to the police authorities for the driver to be given a warning or for criminal action to be taken.
PCT/TR2019/050313 2018-05-08 2019-05-08 A method for detecting child passengers in front seats of vehicles WO2020027752A2 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
TR2018/06519 2018-05-08
TR201806519 2018-05-08

Publications (2)

Publication Number Publication Date
WO2020027752A2 WO2020027752A2 (en) 2020-02-06
WO2020027752A3 true WO2020027752A3 (en) 2020-04-16

Family

ID=69231771

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/TR2019/050313 WO2020027752A2 (en) 2018-05-08 2019-05-08 A method for detecting child passengers in front seats of vehicles

Country Status (1)

Country Link
WO (1) WO2020027752A2 (en)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130336538A1 (en) * 2012-06-19 2013-12-19 Xerox Corporation Occupancy detection for managed lane enforcement based on localization and classification of windshield images
US20150286885A1 (en) * 2014-04-04 2015-10-08 Xerox Corporation Method for detecting driver cell phone usage from side-view images
WO2017123226A1 (en) * 2016-01-14 2017-07-20 Ford Global Technologies, Llc Driver-identification system and method
TR201812156A2 (en) * 2018-08-27 2018-09-21 Havelsan Hava Elektronik Sanayi Ve Ticaret Anonim Sirketi PRE-SEAT PASSENGER CAPACITY VIOLATION DETECTION METHOD USING CAMERA IMAGES

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130336538A1 (en) * 2012-06-19 2013-12-19 Xerox Corporation Occupancy detection for managed lane enforcement based on localization and classification of windshield images
US20150286885A1 (en) * 2014-04-04 2015-10-08 Xerox Corporation Method for detecting driver cell phone usage from side-view images
WO2017123226A1 (en) * 2016-01-14 2017-07-20 Ford Global Technologies, Llc Driver-identification system and method
TR201812156A2 (en) * 2018-08-27 2018-09-21 Havelsan Hava Elektronik Sanayi Ve Ticaret Anonim Sirketi PRE-SEAT PASSENGER CAPACITY VIOLATION DETECTION METHOD USING CAMERA IMAGES

Also Published As

Publication number Publication date
WO2020027752A2 (en) 2020-02-06

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