Deteksi Alat Pelindung Kepala (Helm) Menggunakan Metode Haar Cascade Classifier

Sugianto, Sugianto; Setyati, Endang; Armanto, Hendrawan

doi:10.30736/jti.v4i1.283

Cited by 7 publications

(6 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Pada tahun 2016 Sugianto dari Institut Sains dan Teknologi Terpadu Surabaya melakukan penelitian deteksi alat pelindung kepala (helm) menggunakan metode Haar Cascade Classifier [7]. Sistem terdiri dari dua proses utama yaitu proses training data dan proses deteksi.…”

Section: Pendahuluanunclassified

Deteksi Pemakaian Helm Proyek Dengan Metode Convolutional Neural Network

Widodo

Armanto²,

Setyati³

2021

INSYST

View full text Add to dashboard Cite

Penggunaan helm proyek pada pekerjaan dengan resiko kecelakaan tinggi seperti pekerjaan konstruksi seringkali diabaikan oleh pekerja, sehingga apabila terjadi kecelakaan kerja yang tidak diinginkan seperti kejatuhan benda keras dari atas atau terjadi benturan keras pada kepala akan berakibat fatal bagi pekerja tersebut. Penelitian ini bertujuan untuk mendeteksi pemakaian helm proyek oleh pekerja konstruksi pada citra. Metode yang digunakan pada penelitian ini adalah Convolutional Neural Network YOLO. Sistem terdiri dari tiga proses utama yaitu proses pre processing, proses training dan proses deteksi. Proses pre processing adalah melakukan resize dan anotasi labeling pada citra dataset. Selanjutnya adalah proses training pada dataset dengan menggunakan transfer learning YOLOv2. Pada proses deteksi digunakan 4 buah anchor box pada setiap grid pada citra, hasil dari mencari nilai ukuran bounding box yang memiliki IOU terbaik dengan melakukan proses clustering pada dataset training dan validasi yang terdapat bounding box menggunakan algoritma K-Mean clustering. Algoritma Intersection Over Union (IOU) dan Non Max Suppression (NMS) digunakan agar bounding box prediksi yang dibuat presisi dengan objek yang berhasil dideteksi dan untuk menghilangkan multideteksi pada objek yang sama. Proses deteksi pada sistem ini melakukan lokalisasi dan klasifikasi dengan sekali langkah proses sehingga hasil dari proses deteksi ini adalah orang menggunakan helm proyek dan orang tidak menggunakan helm proyek. Pengujian sistem deteksi dilakukan secara individu maupun kelompok maksimal 5 orang dengan F1-score yang diperoleh sebesar 0,79.

show abstract

Section: Pendahuluanunclassified

Deteksi Pemakaian Helm Proyek Dengan Metode Convolutional Neural Network

Widodo

Armanto²,

Setyati³

2021

INSYST

View full text Add to dashboard Cite

show abstract

“…Detection system testing is done individually using helmet colors red, blue and yellow. It obtained accuracy rate of 92%, while the testing group obtained the degree of accuracy of 71% [10].…”

Section: Introductionmentioning

confidence: 96%

Sign Language Translator Based on Raspberry Pi Camera Using The Haar Cascade Classifier Method

Aji

Yulianto

Rakhmatsyah

2023

bits

View full text Add to dashboard Cite

Sign language is the main tool of communication for people with hearing impairments. Communication is very limited and difficult to understand between normal people who do not know sign language, so an interpreter is needed. Where not everyone, even a few normal people, learns sign language, especially the Indonesian Sign Language System (SIBI). Motion Detection is an important subject in the field of computer vision, which is used by many systems. Today's Internet of Things is very helpful and facilitates daily human activities. An internet network allows a device to be controlled from a considerable distance. This study described a sign language translator tool for the deaf and speech impaired using a raspberry-pi camera and displayed it on the other device monitor. This system was built using the Python programming language and the OpenCV Library. The system is using Haar Cascade Classifier algorithm, where there will be data on all hand shapes based on the letters to be translated. This application uses the OpenCV library and Visual Studio Code IDE software connected to the Raspberry Pi Camera. The publisher will send data to other devices using the MQTT Broker to connect and display detection results to other device monitors wirelessly using a local network. The research was conducted at various distances between the hand and the webcam, from 30cm to 150cm. The research results using the Haar Cascade Classifier method to detect sign language obtained an accuracy of 82%.

show abstract

“…One of the mandatory conditions used in driving a vehicle on the highway is to wear a helmet. Helmet is a term from the Dutch language which means a tool to protect the limbs that are used on the head [13]. In Indonesia, helmets are generally made of arccylonitrile butadiene styrene (ABS), the basic ingredients of kevlar and resin fibers.…”

Section: Introductionmentioning

confidence: 99%

Helmet Detection Based on Cascade Classifier and Adaptive Boosting

Susanto,

Kusumawati

2023

JAIS

View full text Add to dashboard Cite

The increasing number of traffic accidents caused by motorcyclists not wearing helmets has led to an increase in the number of studies related to road safety surveillance. The research system used is an automatic system to detect whether the motorcyclist is wearing a helmet or not. Many studies use image processing systems, deep learning and computer vision. In this research, Cascade Classifier and Adaptive Boosting have been implemented for the process of identifying motorcycle riders with helmets and without helmets. The number of datasets used is 500 datasets with labels on the image of the driver with a helmet and the image of the driver without a helmet. Based on the test results, an accuracy of 90% has been obtained

show abstract

Deteksi Alat Pelindung Kepala (Helm) Menggunakan Metode Haar Cascade Classifier

Cited by 7 publications

References 0 publications

Deteksi Pemakaian Helm Proyek Dengan Metode Convolutional Neural Network

Deteksi Pemakaian Helm Proyek Dengan Metode Convolutional Neural Network

Sign Language Translator Based on Raspberry Pi Camera Using The Haar Cascade Classifier Method

Helmet Detection Based on Cascade Classifier and Adaptive Boosting

Contact Info

Product

Resources

About