• DocumentCode
    3108454
  • Title

    Automation in Automobiles: Power Seat

  • Author

    Lahiry, Akshay ; Chanana, Samarth ; Kanwar, Sourabh

  • Author_Institution
    Sch. of Electr. Eng., VIT Univ., Vellore, India
  • fYear
    2009
  • fDate
    28-30 Dec. 2009
  • Firstpage
    158
  • Lastpage
    160
  • Abstract
    The current seat adjustment mechanism in automobiles is quite tedious and outdated and has its toll on the body of the person while adjusting the seat to his/her comfortable position. Every person has his/her comfortable seat position, so every time a person sits in an automobile, adjustment of the seat has to be done according to the comfort of the individual, this is tiresome and at times annoying. This paper deals with automating the seat of an automobile through the use of a microcontroller and image processing toolkit of Matlab thereby reducing manual effort in adjusting the seat. The adjustment of the seat can be done horizontally, vertically as well as the inclination of the seat can be changed by controlling the direction of rotation and speed of the motors provided in the seat. The parameters of the comfortable position for different individuals are stored in the database and the seat is adjusted to a person´s comfortable position by using face recognition algorithm which is used to link the parameters of a person´s comfortable position stored in the database to his/her face.
  • Keywords
    automotive engineering; face recognition; image processing; mathematics computing; microcontrollers; Matlab; automobile automation; face recognition; image processing toolkit; microcontroller; power seat; seat adjustment mechanism; Automatic control; Automation; Automobiles; Circuits; Electrical engineering; Face recognition; Image databases; Image processing; Microcontrollers; Prototypes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Vision, 2009. ICMV '09. Second International Conference on
  • Conference_Location
    Dubai
  • Print_ISBN
    978-0-7695-3944-7
  • Electronic_ISBN
    978-1-4244-5645-1
  • Type

    conf

  • DOI
    10.1109/ICMV.2009.58
  • Filename
    5381104