Performance Improvement Of Contactless Distance Sensors Using Neural Network

R., ABDUBRANI and S. S. N., ALHADY Performance Improvement Of Contactless Distance Sensors Using Neural Network. In: 12th WSEAS International Conference on Robotics, Control & Manufacturing Technology, 18 - 20 April 2012, Rovaniemi, Finland . (Submitted)

[img] PDF
Download (487Kb)

    Abstract

    Sensor is used to detect an object and determines the distance between sensor and the object. The distance measured by the sensor is sometimes inaccurate, leading to distance errors. Two types of sensors used in this research project are Sharp GP2D12 and ultrasonic LV-Maxsonar EZ1. The output voltage will change based on the distance between the sensor and the object. The sensor’s performance is measured by comparing the actual value with sensor’s measurement value.

    Item Type: Conference or Workshop Item (Paper)
    Subjects: T Technology > TK Electrical Engineering. Electronics. Nuclear Engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering
    Divisions: Kampus Kejuruteraan (Engineering Campus) > Pusat Pengajian Kejuruteraaan Elektrik & Elektronik (School of Electrical & Electronic Engineering)
    Depositing User: Mr. HR
    Date Deposited: 08 Aug 2012 13:15
    Last Modified: 13 Jul 2013 18:11
    URI: http://eprints.usm.my/id/eprint/25871

    Actions (login required)

    View Item
    Share