Search Results - (( facial detection machine algorithm ) OR ( java application using algorithm ))

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    FACIAL RECOGNITION AT GATED COMMUNITY by Mirza Kelana, Muhammad Hilmi

    Published 2021
    “…Machine learning in the facial detection context can be trained to recognize faces by using an algorithm for it to perform its task such as training and testing process for accuracy of face recognition. …”
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    Final Year Project
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    Detection of smooth texture in facial images for the evaluation of unnatural contrast enhancement by Ismail N.H.B., Chen S.-D.

    Published 2023
    “…This paper presents an algorithm for detecting smooth texture in facial images which is prone to unnatural contrast enhancement. …”
    Article
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    Enhanced emotion recognition in videos: a convolutional neural network strategy for human facial expression detection and classification by Ashraf, Arselan, Gunawan, Teddy Surya, Arifin, Fatchul, Kartiwi, Mira, Sophian, Ali, Habaebi, Mohamed Hadi

    Published 2023
    “…Image processing techniques such as histogram equalization, color conversion, cropping, and resizing are applied to the frames before labeling. The Viola-Jones algorithm is then used for face detection on the processed grayscale images. …”
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    Article
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    Face detection based on Haar cascade and Convolution Neural Network (CNN) by Mohd Ariffin, Noor Afiza, Abdul Gimba, Usman, Musa, Ahmad

    Published 2025
    “…Modern face detection systems leverage machine learning algorithms to accurately identify human faces in images or videos, facilitating authentication in security contexts. …”
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    Article
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    Customer analysis with machine vision by Tiong, Wei Jie

    Published 2023
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    Final Year Project / Dissertation / Thesis
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    AUTOMATED IP CAMERA: ATTENDANCE BASED APPLICATION USING FACIAL RECOGNITION by HASHIM, MOHD ASYRAF

    Published 2016
    “…Facial recognition has become new focus in the area of machine learning application. …”
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    Final Year Project
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    An efficient method for detecting covered face scenarios in ATM surveillance camera by Sikandar, Tasriva, W. Nur Azhani, W. Samsudin, Mohammad Fazle, Rabbi, Kamarul Hawari, Ghazali

    Published 2020
    “…Covering face with accessories such as mask, scarf and sunglass is a common criminal activity in automated teller machine (ATM) robbery. Therefore, detection of covered face using ATM surveillance camera can be an effective solution to reduce robbery or crime. …”
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    Article
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    Feature extraction and classification stage on facial expression : A review by Shidiq, Muchamad Bachram, Ernawan, Ferda, Khubrani, Mousa Mohammed, Nugroho, Fajar Agung

    Published 2022
    “…A lot of experiments showed that there are various techniques for extracting facial features and classifying facial expressions. …”
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    Conference or Workshop Item
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    Revolutionizing Human?Computer Interaction: Unraveling the Power of Deep Learning Convolutional Neural Networks in Face Recognition by Baharum A., Halamy S., Ismail R., Abdul Rahim E., Mat Noor N.A., Deris F.D.

    Published 2025
    “…As the availability and eligibility to detect a person?s facial features, face recognition technology has been used in biometric detection applications as uses certain aspects of a person?…”
    Conference paper
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    Drowsiness detection and alert system using face recognition with Raspberry Pi / Nur Syazwina Mohd Fadzalisham, Nor Adora Endut and Muhammad Nizamuddin Rosli by Mohd Fadzalisham, Nur Syazwina, Endut, Nor Adora, Rosli, Muhammad Nizamuddin

    Published 2023
    “…The technology aims to analyse facial features in real-time, efficiently identifying key markers of drowsiness through computer vision techniques and machine learning algorithms. …”
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    Book Section
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    Drowsiness detection and alert system using face recognition with Raspberry Pi / Nur Syazwina Mohd Fadzalisham, Nor Adora Endut and Muhammad Nizamuddin Rosli by Mohd Fadzalisham, Nur Syazwina, Endut, Nor Adora, Rosli, Muhammad Nizamuddin

    Published 2023
    “…The technology aims to analyse facial features in real-time, efficiently identifying key markers of drowsiness through computer vision techniques and machine learning algorithms. …”
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    Book Section
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