Relevant bibliographies by topics / Haar cascade model

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Haar cascade model'

Author: Grafiati
Published: 5 June 2025
Last updated: 1 August 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Haar cascade model.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Haar cascade model"

1

Hall, Wayne, Andreas Kromik, Brenton Miller, Ian Underhill, and Zia Javanbakht. "A Machine Learning Model for Flaw Identification in Fibre-Reinforced Composites." Materials Science Forum 1094 (July 27, 2023): 5–10. http://dx.doi.org/10.4028/p-igdb3j.

Full text
Abstract:
A Haar cascade classifier is a machine learning (ML) algorithm used for object detection. In this paper, the Haar algorithm is introduced in the context of a non-destructive evaluation of fibrereinforced composite (FRC) structures. The Haar learning model is used for flaw identification from thermal images. Thermal images are created from cross-ply (CP) carbon fibre-reinforced laminates with flat-bottomed holes (6–10 mm) of different depths from the surface (0.5–1.5 mm). After training is complete, the model successfully detects similar artificial flaws in previously unseen thermal images. In
APA, Harvard, Vancouver, ISO, and other styles
2

Heryana, Nono, Rini Mayasari, and Kiki Ahmad Baihaqi. "Penerapan Haar Cascade Classification Model Untuk Deteksi Wajah, Hidung, Mulut, dan Mata Menggunakan Algoritma Viola-Jones." Techno Xplore : Jurnal Ilmu Komputer dan Teknologi Informasi 5, no. 1 (2020): 21–25. http://dx.doi.org/10.36805/technoxplore.v5i1.1064.

Full text
Abstract:
Penelitian ini dilakukan untuk melakukan deteksi fitur yang ada pada wajah manusia, pendekatan yang digunakn dalam penelitian ini adalah Penerapan Haar Cascade Classification Model Untuk Deteksi Wajah, Hidung, Mulut, Mata Menggunakan Algoritma Viola-Jones sehingga sistem yang dihasilkan mampu untuk melakukan deteksi terhadap fitur-fitur yang ada pada wajah manusia yang meliputi Wajah, Hidung, Mulut, dan Mata. Dalam penerapan deteksi wajah, hidung, mulut dan mata ini dibangun menggunakan metode viola-jones yang terdiri dari metode haar-like feature, citra integral, adaboost, dan cascade of clas
APA, Harvard, Vancouver, ISO, and other styles
3

Irawanto, Indra, Andi Sunyoto, and Kusnawi Kusnawi. "Peningkatan Akurasi Deteksi Kendaraan Menggunakan Kombinasi Haar Cascade Classifier dan Convolutional Neural Networks (CNN)." Journal of Electrical Engineering and Computer (JEECOM) 6, no. 1 (2024): 47–57. http://dx.doi.org/10.33650/jeecom.v6i1.8242.

Full text
Abstract:
Teknologi pengolahan citra digital dan computer vision telah memainkan peran penting dalam meningkatkan sistem pengaturan lalu lintas. Meskipun kamera CCTV umum digunakan, kebanyakan sistem masih bersifat pasif dan terbatas dalam pengawasan arus lalu lintas. Dalam menanggapi kebutuhan akan sistem yang lebih proaktif dan adaptif, dikembangkan berbagai sistem Manajemen Lalu Lintas Pintar yang mengintegrasikan teknologi deteksi objek kendaraan canggih, seperti kombinasi Haar Cascade Classifier dengan Convolutional Neural Network (CNN). Haar Cascade Classifier efektif dalam mendeteksi objek real-t
APA, Harvard, Vancouver, ISO, and other styles
4

Andrean, Muhammad Niko, Guruh Fajar Shidik, Muhammad Naufal, et al. "Comparing Haar Cascade and YOLOFACE for Region of Interest Classification in Drowsiness Detection." JURNAL MEDIA INFORMATIKA BUDIDARMA 8, no. 1 (2024): 272. http://dx.doi.org/10.30865/mib.v8i1.7167.

Full text
Abstract:
Driver drowsiness poses a serious threat to road safety, potentially leading to fatal accidents. Current research often relies on facial features, specific eye components, and the mouth for drowsiness classification. This causes a potential bias in the classification results. Therefore, this study shifts its focus to both eyes to mitigate potential biases in drowsiness classification.This research aims to compare the accuracy of drowsiness detection in drivers using two different image segmentation methods, namely Haar Cascade and YOLO-face, followed by classification using a decision tree alg
APA, Harvard, Vancouver, ISO, and other styles
5

Saragih, Silvanus. "Implementasi Algoritma Haar Cascade Menggunakan Pengolahan Citra Digital untuk Absensi Deteksi Wajah dan Nama Menggunakan Python." Jurnal Sosial Teknologi 5, no. 3 (2025): 789–98. https://doi.org/10.59188/jurnalsostech.v5i3.32044.

Full text
Abstract:
Sistem Penelitian ini bertujuan untuk mengimplementasikan algoritma Haar Cascade dalam pengembangan sistem absensi berbasis deteksi wajah dan nama dengan menggunakan bahasa pemrograman Python. Haar Cascade merupakan metode populer untuk deteksi objek, khususnya wajah, yang memanfaatkan pemrosesan citra dan fitur Haar. Metode ini bekerja dengan melatih model menggunakan dataset wajah, kemudian menerapkannya untuk mendeteksi wajah dan menghubungkannya dengan data nama individu yang telah terdaftar. Penelitian ini mencakup pengumpulan dataset wajah, pelatihan model menggunakan OpenCV dalam Python
APA, Harvard, Vancouver, ISO, and other styles
6

Farhan Ramadhan, Haikal, Kana Saputra S, Said Iskandar Al Idrus, Zulfahmi Indra, and Insan Taufik. "IMPLEMENTASI METODE HAARCASCADE CLASSIFIER DALAM MENGIDENTIFIKASI OBJEK WAJAH MANUSIA." JATI (Jurnal Mahasiswa Teknik Informatika) 9, no. 4 (2025): 6729–35. https://doi.org/10.36040/jati.v9i4.14143.

Full text
Abstract:
Keamanan menjadi aspek esensial dalam berbagai sektor, terutama pada era teknologi modern yang menuntut sistem pengamanan canggih. Salah satu inovasi dalam identifikasi dan autentikasi adalah pengenalan wajah, metode yang andal, tidak invasif, dan sesuai berbagai konteks. Dalam penelitian ini, algoritma Haar Cascade Classifier dan arsitektur jaringan saraf Inception V3 digunakan untuk meningkatkan efisiensi serta akurasi pengenalan wajah. Penelitian ini merespons tiga permasalahan utama, yaitu kebutuhan sistem keamanan modern, kendala akurasi, dan keandalan teknologi pengenalan wajah saat ini.
APA, Harvard, Vancouver, ISO, and other styles
7

Kumar, Meesala Sai. "Image Similarity Using Logistic Regression." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 01 (2025): 1–9. https://doi.org/10.55041/ijsrem40562.

Full text
Abstract:
Many machine learning algorithms, such as kernel machines, nearest neighbors, clustering, and anomaly detection, rely on distances or similarities to identify patterns in data. Before using these similarities to train a model, it is crucial to ensure they reflect meaningful relationships within the data. In this paper, we propose enhancing the interpretability of these similarities by augmenting them with explanations. To achieve this, we introduce Logistic Regression & Haar Cascade, a scalable and theoretically sound method designed to systematically decompose the output of pre-trained de
APA, Harvard, Vancouver, ISO, and other styles
8

Archana, Balkrishna Yadav. "Towards Real-Time Facial Emotion-Based Stress Detection Using CNN and Haar Cascade in AI Systems." International Journal of Engineering and Management Research 14, no. 5 (2024): 83–88. https://doi.org/10.5281/zenodo.14064731.

Full text
Abstract:
Understanding human conduct requires the ability to recognise facial emotions, which has applications in everything from human-computer interaction to psychological wellness monitoring. This research provides a new approach to stress detection using Convolutional Neural Networks (or CNNs) and HaarCascade classifiers. The suggested method uses a CNN to recognise facial expressions and Haar Cascade algorithm for face detection. The methodology begins with preliminary processing the input photos, followed by face detection and extraction of facial regions. Those parts are then fed into the CNN mo
APA, Harvard, Vancouver, ISO, and other styles
9

Joodi, Mohanad Azeez, Muna Hadi Saleh, and Dheya Jassim Khadhim. "Proposed Face Detection Classification Model Based on Amazon Web Services Cloud (AWS)." Journal of Engineering 29, no. 4 (2023): 176–206. http://dx.doi.org/10.31026/j.eng.2023.04.12.

Full text
Abstract:
One of the most important features of the Amazon Web Services (AWS) cloud is that the program can be run and accessed from any location. You can access and monitor the result of the program from any location, saving many images and allowing for faster computation. This work proposes a face detection classification model based on AWS cloud aiming to classify the faces into two classes: a non-permission class, and a permission class, by training the real data set collected from our cameras. The proposed Convolutional Neural Network (CNN) cloud-based system was used to share computational resourc
APA, Harvard, Vancouver, ISO, and other styles
10

Junaid Malik, Mohammad, Mathamsetti Aditya, D. Rohith Surya Teja Varma, et al. "Specific Object Picking Robotic Arm Using Haar Cascades." E3S Web of Conferences 529 (2024): 04008. http://dx.doi.org/10.1051/e3sconf/202452904008.

Full text
Abstract:
This project shows a robotic arm that can pick up objects. It was made with accuracy and speed in mind for use in factories. The robotic arm is very good at picking up metal nuts. It uses cutting edge technologies, like Haar cascade to find objects and inverse kinematics to figure out angles very accurately, to make its moves more exact and dexterous. A powerful computer vision method called Haar cascade is used to find metal nuts in the robotic arm's working environment. To do this, positive and negative pictures are used to train a Haar cascade classifier, which makes a model that can recogn
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Haar cascade model"

1

Kolman, Aleš. "Detekce obličejů ve videu." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2012. http://www.nusl.cz/ntk/nusl-236583.

Full text
Abstract:
The project is focused on face detection in video. Firstly, it contains a summary of basic color models. Secondly, you can find the description and comparison of the basic methods for detection of human skin with a practical example of implementation of parametric detector. Thirdly, a theoretical basis for face detection and face tracking in a video containing a list of basic concepts and methods of this issue follows. Greater emphasis is placed on the description of machine learning algorithm AdaBoost and description of the possible application of the Kalman filter for the purpose of face tra
APA, Harvard, Vancouver, ISO, and other styles
2

Pavani, Sri-Kaushik. "Methods for face detection and adaptive face recognition." Doctoral thesis, Universitat Pompeu Fabra, 2010. http://hdl.handle.net/10803/7567.

Full text
Abstract:
The focus of this thesis is on facial biometrics; specifically in the problems of face detection and face recognition. Despite intensive research over the last 20 years, the technology is not foolproof, which is why we do not see use of face recognition systems in critical sectors such as banking. In this thesis, we focus on three sub-problems in these two areas of research. Firstly, we propose methods to improve the speed-accuracy trade-off of the state-of-the-art face detector. Secondly, we consider a problem that is often ignored in the literature: to decrease the training time of the detec
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "Haar cascade model"

1

Sivaraja, Tulasii, and Abdullah Bade. "Digital Images Using Heuristic AdaBoost Haar Cascade Classifier Model, Detection of Partially Occluded Faces." In Encyclopedia of Computer Graphics and Games. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-08234-9_371-1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Begum, Ghousia, C. Kishor Kumar Reddy, and P. R. Anisha. "Recognition and Adoption of an Abducted Child Using Haar Cascade Classifier and JSON Model." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4863-3_40.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Sivaraja, Tulasii, and Abdullah Bade. "Digital Images Using Heuristic AdaBoost Haar Cascade Classifier Model, Detection of Partially Occluded Faces." In Encyclopedia of Computer Graphics and Games. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-23161-2_371.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Johri, Prashant, Lalit Kumar Gangwar, Prakhar Sharma, E. Rajesh, Vishwadeepak Singh Baghela, and Methily Johri. "A Deep Learning Model for Automatic Recognition of Facial Expressions Using Haar Cascade Images." In Data Science and Applications. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-7862-5_14.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Ganesan, Sangeetha. "Precise Presence Calculating System Using HAAR Cascade and CAFFE Model." In Advances in Computational Intelligence and Robotics. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-9770-1.ch016.

Full text
Abstract:
Attendance management is often time-consuming and prone to proxy attendance. Traditional methods like fingerprint and RFID systems lack reliability and efficiency. This system addresses these limitations with technologies such as Haar cascade for face detection, OpenCV-Python for image processing, a Caffe model for deep learning-based face detection, and Support Vector Machines (SVM) for facial recognition, with Pandas ensuring real-time data processing. Utilizing facial recognition technology, the system streamlines attendance recording, making it efficient, accurate, and user-friendly while
APA, Harvard, Vancouver, ISO, and other styles
6

Ganesan, Sangeetha. "Enhancing Attendance Management With Facial Recognition." In Advances in Computational Intelligence and Robotics. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-9770-1.ch009.

Full text
Abstract:
Attendance management in various settings, such as classrooms and workplaces, presents challenges due to its time-consuming nature and susceptibility to proxy attendance. Conventional methods of attendance marking, including fingerprint and radio frequency identification (RFID) systems, lack reliability and efficiency. The system utilizes models such as Haar cascade for face detection, OpenCV-Python for image processing, a Caffe model for deep learning-based face detection, and Support Vector Machines (SVM) for facial recognition. Instead of traditional methods, this system aims to streamline
APA, Harvard, Vancouver, ISO, and other styles
7

Madhusudan, D., and Prudhvi Raj Budumuru. "FACE RECOGNITION WITH VOICE APPLICATION." In Artificial Intelligence and Emerging Technologies. Iterative International Publishers, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/nbennurch306.

Full text
Abstract:
Facial recognition may be a biometric identification method that is non-intraoperative and suited for many different kinds of applications. It is necessary for implementing the method with a considerable while and appropriate precision while taking hardware timing into account. The application of a machine learning method for instant facial picture recognition is the main focus of this study. The face recognition software employs algorithms to virtually confirm a person's identification by comparing a digital image taken with a camera to a face print that has been stored. One of the key facial
APA, Harvard, Vancouver, ISO, and other styles
8

Kanjalkar, Pramod Madhavrao, Shubham Patil, Prasad Jitendra Chinchole, Archit Ashish Chitre, and Jyoti Kanjalkar. "Real-Time Recording and Analysis of Facial Expressions of Video Viewers." In Advances in Artificial and Human Intelligence in the Modern Era. IGI Global, 2023. http://dx.doi.org/10.4018/979-8-3693-1301-5.ch009.

Full text
Abstract:
Automated facial emotion recognition (AFER) is a technique with rising usage across a range of practical real-world applications ranging from security to advertising. AFER can be used to assess the emotional state of patients with mental health conditions, such as depression or anxiety to guide treatment decisions. Companies can use facial emotion recognition to gauge consumer reactions to different products or advertisements, providing valuable insights for product development and marketing strategies. The following paper examines the concept of facial emotion recognition using AI-based model
APA, Harvard, Vancouver, ISO, and other styles
9

Manju and Priyanshi Pandey. "IoT Based Home Security System." In IoT-enabled Sensor Networks: Architecture, Methodologies, Security, and Futuristic Applications. BENTHAM SCIENCE PUBLISHERS, 2024. http://dx.doi.org/10.2174/9789815049480124060008.

Full text
Abstract:
Internet of Things (IoT)-enabled intelligent systems are proliferating rapidly, providing the capability to connect virtually any device to the Internet. Consequently, this concept can be effectively utilized in home security applications. In this paper, we have introduced an IoT-enabled system designed to send security alerts to users via email upon detecting human intrusion. The system comprises a PIR sensor, Pi camera, Raspberry Pi-3, and an Internet connection. There are two operational modes in the proposed security system. In the first mode, movement by an intruder is detected, and simul
APA, Harvard, Vancouver, ISO, and other styles
10

Aurchana, P., R. Indhumathi, G. Revathy, and A. Ramalingam. "Facial Emotion Recognition Using Osmotic Computing." In Advances in Systems Analysis, Software Engineering, and High Performance Computing. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-1694-8.ch001.

Full text
Abstract:
Emotion recognition refers to the process of identifying the emotions expressed by an individual, typically through their facial expressions, speech, body language, and sometimes physiological signals like heart rate or skin conductance. In this chapter, facial expression is used to recognise. Emotions like happiness, sadness, anger, fear, surprise, and disgust are typically recognized. This chapter aims at developing a real-time approach to classification of facial emotions such as happy, normal, yawn, and sleep in a real-time context. For this, images are captured using sensors and stored in
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Haar cascade model"

1

Suvra, Debashis Kar, and Tahsina Farah Sanam. "A Cloud-Based Hybrid Model for Real-Time Detection of BRTA-Approved Licence Plates Using YOLO Tiny and Haar Cascade." In 2024 27th International Conference on Computer and Information Technology (ICCIT). IEEE, 2024. https://doi.org/10.1109/iccit64611.2024.11022598.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Mimboro, Prasetyo, Yaya Heryadi, Lukas, Wayan Suparta, and Antoni Wibowo. "Realtime Vehicle Counting Method Using Haar Cascade Classifier Model." In 2021 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation (ICAMIMIA). IEEE, 2021. http://dx.doi.org/10.1109/icamimia54022.2021.9807721.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Jain, Aarchi, Aishwarya, and Gaurav Garg. "Gun Detection with Model and Type Recognition using Haar Cascade Classifier." In 2020 Third International Conference on Smart Systems and Inventive Technology (ICSSIT). IEEE, 2020. http://dx.doi.org/10.1109/icssit48917.2020.9214211.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Anithaa, N., and G. Rosline Nesakumari. "Deep convolutional neural network model for face discovery using Haar Cascade algorithm." In 1ST INTERNATIONAL CONFERENCE ON RECENT ADVANCEMENTS IN COMPUTING TECHNOLOGIES & ENGINEERING. AIP Publishing, 2024. http://dx.doi.org/10.1063/5.0220080.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Mohamed, Raihani, Jaffrina Umaira Jafni, and Siti Nurulain Mohd Rum. "Real-Time Face Recognition System in Smart Classroom using Haar Cascade and Local Binary Pattern Model." In 2022 International Conference on Advanced Creative Networks and Intelligent Systems (ICACNIS). IEEE, 2022. http://dx.doi.org/10.1109/icacnis57039.2022.10054833.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Livia da Fonseca Macedo, Anne, and Igor Ruiz Gomes. "Algoritmo Haar Cascade Aplicado na Detecção das Placas de Parada Obrigatória e de Velocidade Máxima Permitida." In Computer on the Beach. Universidade do Vale do Itajaí, 2020. http://dx.doi.org/10.14210/cotb.v11n1.p440-446.

Full text
Abstract:
Systems able to assist drivers in the safe driving of vehiclesprovide several advantages, such as the reduction of trafficaccidents, mostly with fatalities, normally caused by humanfailures, whether for distractions or even problems related tolighting or climate change. Based on this, this research aims topresent a computational model capable of detect stop signs andspeed limit signs, so that it contributes to the development ofprogressively intelligent vehicles. The system was implementedin Phyton programming language, with the support of OpenCVlibrary, and it was divided into two steps: firs
APA, Harvard, Vancouver, ISO, and other styles
7

Patel, Maitrey, Abhishek Nath Goswami, Lokesh Mishra, Prabhat Tripathi, and Vivek Rai. "AUTOMATIC PAYMENT USING FACE RECOGNITION SYSTEM." In Computing for Sustainable Innovation: Shaping Tomorrow’s World. Innovative Research Publication, 2024. http://dx.doi.org/10.55524/csistw.2024.12.1.9.

Full text
Abstract:
This abstract introduces an innovative system for automatic payments using face recognition, eliminating the need for traditional payment cards. In this proposed system, users authenticate transactions by presenting their faces to the recognition system, prioritizing Face ID for its effectiveness in identification. The technology relies on advanced biometric techniques, including OpenCV for image processing, Haar Cascade Classifier for face detection, and Local Binary Pattern for facial recognition. Upon successful face verification, the payment is automatically processed, streamlining transac
APA, Harvard, Vancouver, ISO, and other styles
8

Ning Jiang, Yijun Lu, Shaopeng Tang, and Satoshi Goto. "Rapid face detection using a multi-mode cascade and Separate Haar Feature." In 2010 International Symposium on Intelligent Signal Processing and Communications Systems (ISPACS 2010). IEEE, 2010. http://dx.doi.org/10.1109/ispacs.2010.5704623.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Sayar, Alperen, Tuna Çakar, Tunahan Bozkan, Seyit Ertuğrul, and Mert Güvençli. "Emotional Analysis of Candidates During Online Interviews." In 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023). AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1003278.

Full text
Abstract:
The recent empirical findings from the related fields including psychology, behavioral sciences, and neuroscience indicate that both emotion and cognition are influential during the decision making processes and so on the final behavioral outcome. On the other hand, emotions are mostly reflected by facial expressions that could be accepted as a vital means of communication and critical for social cognition. This has been known as the facial activation coding in the related academic literature. There have been several different AI-based systems that produce analysis of facial expressions with r
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Haar cascade model' for particular source types:
Journal articles
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography