Suchergebnisse - Haar cascade object detection algorithm

AI Enabled Home Security System Using Object Detection and Face Recognition with Haar Cascade Algorithm von Praneeth, D, Rekha Sree, T, Viswanatha, V, Abhiram Sai, M

“… Both face detection and recognition are done by using Haar Cascade algorithm. To share the information with the owner of the house or concerned people, internet of thing (IoT) is incorporated …”
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Artificial intelligence‐empowered vision‐based self driver assistance system for internet of autonomous vehicles von Rawlley, Oshin, Gupta, Shashank

“… ‐cascade object detection algorithm for speedy …”
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Design and Development of Computer Vision-Based Driver Fatigue Detection and Alert System von Aboagye, Isaac A., Owusu-Banahene, Wiafe, Amexo, Kevin, Boakye-Yiadom, Kwadwo A., Sowah, Robert A., Sowah, Nii Longdon

“… The detection of fatigue signs is accomplished using Haar Cascades. Haar cascades are machine learning object detection algorithms …”
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Expression Detection Of Autistic Children Using CNN Algorithm von Syed, Abeer Javed, Durrani, Deenar Jawaid, Shahid, Neha, Khan, Wajahat, Muhammad, Ali

“… Facial emotion detection is a technique for identifying human emotions from facial expressions …”
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Real-time Object Detection using Haar Cascade Classifier for Robot Cars von Gharge, Saylee, Patil, Aditi, Patel, Shrutika, Shetty, Vaishnavi, Mundhada, Nidhi

“… The Haar Cascade Classifier, a machine learning algorithm for object detection, has gained significant popularity in recent years …”
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CNN based Auto-Assistance System as a Boon for Directing Visually Impaired Person von Shah, Samkit, Bandariya, Jayraj, Jain, Garima, Ghevariya, Mayur, Dastoor, Sarosh

“… The chief goal of this research paper is to develop an object detection system to assist totally blind individual to manage their activities independently …”
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Drivers' Drowsiness Detection and Warning Systems for Critical Infrastructures von Adochiei, Ioana-Raluca, Stirbu, Oana-Isabela, Adochiei, Narcis - Iulian, Pericle-Gabriel, Matei, Larco, Ciprian-Marius, Mustata, Stefan-Mircea, Costin, Diana

“… and development.The main purpose of this paper is the development and implementation of a system capable to detecting and alert, in real-time, the driver's level of fatigue …”
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Detecting Objects Using Haar Cascade for Human Counting Implemented in OpenMV von Mentari, Mustika, Andrie Asmara, Rosa, Arai, Kohei, Sakti Oktafiansyah, Haidar

“… The research software was developed using the Haar Cascade Classifier algorithm. The research process commences with the acquisition of image data through the OpenMV camera …”
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Bird Repeller Using Opencv von Upendra, M., Anuradha, T., Prakash, L.

“… Existing work lags behind in using effective algorithms and developing hardware. Object detection algorithms like the Haar Cascade Classifier and YOLOv8 are used …”
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Facial Expression and Speech Pattern Computing using Modern Techniques of Computer Vision von Anant Kaulage

“… A fascinating problem in human-computer interaction, mental health monitoring, social robots, and other fields is the detection of emotions from facial expressions and verbal inputs …”
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Comparison of Viola-Jones Haar Cascade Classifier and Histogram of Oriented Gradients (HOG) for face detection von Rahmad, C, Asmara, R A, Putra, D R H, Dharma, I, Darmono, H, Muhiqqin, I

“… Many methods have been created and developed in order to perform face detection and two of the most popular methods are Viola-Jones Haar Cascade Classifier (V-J …”
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Teat detection algorithm: YOLO vs. Haar-cascade von Rastogi, Akanksha, Ryuh, Beom Sahng

“… processing and robotic vision. By experimenting on a basic object detection method based on Haar-like features, viz …”
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Examination on Fire Detection Methods using Computer Vision von V C, Sikhin, Subramanian, S Sankara, R V, Sreelekshmi

“… ), as well as object detection algorithms such as Haar-cascade and YOLO (You Only Look Once) for fire detection. Moreover, this study also aims to make a breakthrough …”
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Machine Learning based Drowsiness Detection in Classrooms von R, Dinesh Kumar J, N, Harish, K, Priyadharsini, S, Gowtham, Gokulraj, Gokulraj

“… The Haar cascade algorithm is used for face detection which recognizes faces of students in real-time video and follows the stages of Haar …”
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A Self-Construction of Automatic Crescent Detection Using Haar-Cascade Classifier and Support Vector Machine von Muztaba, R, Malasan, H L, Djamal, M

“… This paper proposes an automatic crescent moon detection method based on visual mechanisms and training using the Cascade Classifier algorithm …”
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Performance Comparison of Machine Learning Classifiers for FPGA-Accelerated Surface Defect Detection von Johnson, Vineeth C, Bali, Jyoti, Chanchal, Amit Kumar, Kumar, Surendra, Shukla, Manoj Kumar

“… The object detection algorithms used in this experiment are the Haar cascade classifier and the Local Binary Pattern (LBP) classifier …”
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Convolutional neural network-based driver drowsiness detection system

“… The system captures video at all times of the face of the driver and develops each frame into grayscale images using the HAAR CASCADE algorithm, which is a very reliable object detection tool …”
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Face Detection in Complex Background using Scale Invariant Feature Transform and Haar Cascade Classifier Methods von Damarsiwi, Dyah Kartika, Pambudi, Elindra Ambar, Fitriani, Maulida Ayu, Wibowo, Feri

“… ) and Haar Cascade Classifier. Scale Invariant Feature Transform (SIFT) is a method used in image processing to identify and describe unique features in an image …”
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Fast Iris localization using Haar-like features and AdaBoost algorithm von Lin, Yi-Nan, Hsieh, Tsang-Yen, Huang, Jr-Jen, Yang, Cheng-Ying, Shen, Victor R. L., Bui, Hai Hoang

“… The AdaBoost algorithm was chosen as a learning method for training a cascade classifier using Haar-like features, which was then utilized to detect the iris position …”
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Haar Cascade Classifier and Adaboost Algorithm for Face Detection with the Viola-Jones Method von Nidom, Mohammad Saichu

“… This study explores the effectiveness of the Haar Cascade Classifier method optimized with Adaboost to improve the accuracy and efficiency of face detection in various head covering conditions …”
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