Search Results - (( vehicle detection system algorithm ) OR ( defect classification based algorithm ))*

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  1. 1

    Identification of weld defect through the application of denoising method to the sound signal acquired during pulse mode laser welding by Yusof, M. F.M., Quazi, M. M., Aleem, S.A.A., Ishak, M., Ghazali, M. F.

    Published 2023
    “…This paper describes the improvement of weld defect identification achieved by incorporating Z-score-based thresholding into the wavelet denoising algorithm for the pre-processing of sound signals. …”
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    Article
  2. 2

    Software defect prediction framework based on hybrid metaheuristic optimization methods by Wahono, Romi Satria

    Published 2015
    “…The classification algorithm is a popular machine learning approach for software defect prediction. …”
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    Thesis
  3. 3

    Evaluation of the Transfer Learning Models in Wafer Defects Classification by Jessnor Arif, Mat Jizat, Anwar, P. P. Abdul Majeed, Ahmad Fakhri, Ab. Nasir, Zahari, Taha, Yuen, Edmund, Lim, Shi Xuen

    Published 2022
    “…All the algorithms were pretrained from ImageNet data-base before training with the wafer defect images. …”
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    Conference or Workshop Item
  4. 4

    Using the bees algorithm to optimise a support vector machine for wood defect classification by Pham, D.T, Muhammad, Zaidi, Mahmuddin, Massudi, Ghanbarzadeh, Afshin, Koc, Ebubekir, Otri, Sameh

    Published 2007
    “…The objective of the work was to find the best combination of SVM parameters and data features to maximize defect classification accuracy. The paper presents the results obtained to demonstrate the strengths of the Bees Algorithm as an optimization tool.…”
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  5. 5

    Vehicle Monitoring System Using Motion Detection Algorithms For USM Campus. by Osman, Mohd. Azam, Talib, Abdullah Zawawi, Tan, Kian Lam, Wong, Poh Lee, Sabudin, Maziani

    Published 2007
    “…Maintaining security in university campuses is most definitely the talk of today. problems surface when security personnel need to constantly patrol the campus grounds to ,monitor activities of vehicles. With the possible introduction of the motion detection and character recognition algorithms in security systems of the future, vehicle identities such as license plate numbers can be captured and processed at the security post to make it possible for the vehicles to be monitored remotely. …”
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  6. 6

    Vehicle detection for vision-based intelligent transportation systems using convolutional neural network algorithm by Khalifa, Othman Omran, Wajdi, Muhammad H., Saeed, Rashid A., Hassan Abdalla Hashim, Aisha, Ahmed, Muhammed Z., Ali, Elmustafa Sayed

    Published 2022
    “…Vehicle detection in Intelligent Transportation Systems (ITS) is a key factor ensuring road safety, as it is necessary for the monitoring of vehicle flow, illegal vehicle type detection, incident detection, and vehicle speed estimation. …”
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  7. 7

    Development of vehicle detection and counting system for traffic analysis using computer vision by Saw, Kenny Wei Wen

    Published 2024
    “…In traffic analysis, a real-time vehicle detection and counting system is definitely important, as existing systems only provide the ability to detect or count, but not all of them. …”
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    Final Year Project / Dissertation / Thesis
  8. 8

    An Algorithm for Vehicle Detection and Tracking by Malik , Aamir Saeed

    Published 2010
    “…In this paper, we propose a vehicle detection and tracking algorithm. The detection is done using the median filtering and blob extraction. …”
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    The development of a tracking algorithm for ambulance detection using squaring of RGB and HSV color processing techniques by Mohammad Syawaludin Syafiq, Hassan

    Published 2016
    “…Moreover, present smart traffic light system requires to adapt with new algorithms and technologies, for instance vision sensors that are able to detect emergency vehicles that needs to pass by a traffic light. …”
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    Thesis
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    Neural network paradigm for classification of defects on PCB by Heriansyah, Rudi, Syed Al-Attas, Syed Abdul Rahman, Zabidi, Muhammad Mun'im Ahmad

    Published 2003
    “…The algorithms to segment the image into basic primitive patterns, enclosing the primitive patterns, patterns assignment, patterns normalization, and classification have been developed based on binary morphological image processing and Learning Vector Quantization (LVQ) neural network. …”
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    Article
  13. 13

    A cascading fuzzy logic with image processing algorithm-based defect detection for automatic visual inspection of industrial cylindrical object’s surface by Ali, Mohammed A. H., Au, Kai Lun

    Published 2018
    “…This paper proposes a cascading fuzzy logic algorithm with image processing technique for defect detection and classification on the lateral surface of industrial cylindrical object using a camera and multiple flat mirrors. …”
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    AUTOMATED VEHICLE COUNTING AND CLASSIFICATION SYSTEM FOR TRAFFIC CENSUS by MOHMOOD NOR, MOHD NAZIF HAWARI

    Published 2012
    “…The chosen algorithm for vehicle detection is called approximate median as it is more accurate compared to background subtraction method. …”
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    Final Year Project
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    Landmark detection for vision based of autonomous guided vehicle by Nurul Atiqah Syazwani, Kamarudin

    Published 2012
    “…This thesis is focused on navigation control system for an Autonomous Guided Vehicle (AGV) by detecting and recognizing artificial landmark with using USB webcam. …”
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    Undergraduates Project Papers
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    Development Of Vehicle Tracking And Counting System From Traffic Surveillance Video by Kueh , Chiung Lin

    Published 2015
    “…A vehicle counting and tracking system automatically detects and classifies vehicles from traffic surveillance video sequences. …”
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    Thesis
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    Vehicle route tracking system based on vehicle registration number recognition using template matching algorithm by Lai, Chor Kiew, Md Muzahid, Abu Jafar, Kamarulzaman, Syafiq F.

    Published 2021
    “…The system provide an accuracy around 80% confidence when detecting a vehicle plate number and successfully display the path of the vehicle based on the time and location of the vehicle detected.…”
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    Conference or Workshop Item