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Gambar 4. Macam-macam variasi feature pada Haar [6]
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Perkembangan teknologi yang terkait dengan pemrosesan menggunakan komputer demikian pesatnya, salah satunya adalah image (citra) atau disebut Pengolahan Citra Digital (Digital Image Processing). Agar dapat diolah dengan komputer digital, maka suatu citra harus dipresentasikan secara numerik dengan nilai-nilai diskri. Secara matematis, citra merupak...
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Penelitian ini bertujuan untuk mengembangkan buku saku pada materi Reaksi Reduksi Oksidasi yang dapat digunakan di MAN Model Banda Aceh. Pengembangan buku saku ini dirancang sebaik mungkin agar dapat menarik minat siswa untuk membaca dan mempelajarinya. Penelitian ini merupakan penelitian Research and Development (R&D). Buku saku ini diujicoba dala...
Ikan Malaja hanya banyak dikonsumsi orang dewasa sehingga perlu upaya agar anak-anak dapat mengonsumsinya di masyarakat palopo. Kerupuk adalah camilan yang dapat dimakan disetiap waktu sehingga jika dijadikan kerupuk ikan yang memiliki kandungan gizi yang bermanfaat. Penelitian bertujuan mengetahui uji organoleptik dan proksimat dari kerupuk ikan m...
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... Salah satu metode machine learning yang memiliki performa terbaik dalam menyelesaikan permasalahan klasifikasi gambar adalah Convolutional Neural Networks (CNN). Selain itu, CNN juga memberikan hasil paling signifikan dalam pengenalan citra [18]. Pada beberapa tahun terakhir penggunaan CNN mengalami peningkatan dengan performa yang sangat baik pada model baru, pada berbagai dataset atau pada jaringan pra-terlatih untuk transfer learning [14]. ...
The Central Statistics Agency reports that the average development of palm cooking oil consumption at
the household level in Indonesia during the 2015-2020 period has increased by 2.32% per year. The use of cooking
oil repeatedly is commonplace among the people of Indonesia and quite a lot. Even though the use of used cooking
oil can endanger health, a detection tool for the quality of used cooking oil was needed. Previous studies produced
electronic nose and chemical testing. However, they only can be reached by certain circles. Therefore, in this study,
image processing was carried out to detect the quality of clarity of palm oil using the Convolution Neural Network
(CNN) algorithm and applied it to an android application. This study was conducted through several stages, namely
dataset collection, dataset preprocessing, CNN algorithm implementation, testing, and application development.
The dataset consists of image data of palm cooking oil that has not been used, palm cooking oil used for frying twice,
and palm cooking oil used for frying more than twice. The total amount of data is 3000 image data. Distribution
of training data and test data using the Pareto division of 80:20. Based on the test, the best accuracy is 97.08%.
This research produces an android-based application which can identify the quality of cooking oil based on color
classification.
... Ranah pengenalan dan pendeteksian objek [1]- [3], pada Computer Vision saat ini sedang berkembang pesat dan mulai diterapkan di berbagai bidang, dari industri hingga medis. Hal ini dapat dilihat dari berbagai macam riset yang meluas, sebagian berfokus pada penerapan dan penyesuaian model machine learning [4]- [6], sedangkan sebagian lainnya berfokus pada pengembangan model baru guna menjawab permasalahan dan tantangan permasalahan spesifik [7], [8], [9], [10] pada Computer Vision, terutama pada efisiensi model. ...
Object recognition and detection have been in request by numerous parties since Computer Vision innovation within the 1960s, both within the industrial and medical area. Since then, many studies have focused on object recognition and detection with various types of algorithm models that can recognize and detect objects in an image. However, not all of these algorithm models are efficient and effective in their application. Most of the previous algorithm models have a relatively high level of complexity. Here, the author tries to explain and introduce the YOLO (You only look once) algorithm model, which has a high enough image detection processing speed capability and accuracy that can compete with the previous algorithm models. There are several advantages and disadvantages of each version made, which are explained in the discussion section.
... Computer Vision merupakan sebuah studi yang fokus pada permasalahan untuk membantu komputer agar bisa melihat seperti manusia. Pada tingkat abstrak, tujuan masalah Computer Vision adalah mengguanakan data gambar yang diamati untuk menyimpulkan sesuatu tentang dunia [1]. ...
... Hasil interpretasi tersebut ini mungkin digunakan untuk mengambil suatu keputusan. Sebagaimana layaknya mata dan otak, Computer Vision adalah suatu sistem yang mempunyai kemampuan untuk menganalisis objek secara visual, setelah objek yang bersangkutan dimasukkan dalam bentuk citra [1]. ...
Computer Vision is a field that studies methods for capturing numerical or symbolic information. Some of the computer vision processes are image capture, image enhancement, segmentation, feature extraction, and clarification. AI-based Computer Vision technology allows the public to carry out more optimal surveillance to deal with Covid-19. During the Covid-19 pandemic, many people have adopted new normal habits by implementing health protocols. But not a few of our people do not understand the importance of implementing health protocols. Where after this year's Eid homecoming, not a few of our people have made trips to their hometown villages. In this case, there is already a prohibition from the Government not to make the Eid homecoming trip. These communities can be at risk of transmitting the Covid-19 virus to their families in their hometowns. This study describes how Computer Vision works in helping the community to monitor travelers from the city to minimize the spread of Covid-19. The paper wa presented using the literature review method. From the description result using the literature review, it has result that computer vision technology has enormous potential in spreading countermeasures Covid-19.
... By comparing the distance value when people are passing and when there are no people, the number of people who enter the room, the results of the calculations are displayed on the LCD. Study in [8] aims to calculate the number of people in static and dynamic images, with the Haar-like Features method that is capable doing face recognition in real-time. Testing is carried out on static images obtained by uploading image files and dynamic images captured from webcam cameras. ...
... The process before the extraction of the image is the process of skin color segmentation is useful to get the skin of the object color has been transformed to color YCbCr. The thresholding formula for skin part identification is as follows [7]: ...
Perkembangan teknologi computer vision saat ini sangat begitu pesat, sehingga dapat diimplementasikan dan dikembangkan dalam berbagai bidang, khususnya pendeteksian sebuah objek atau benda dalam bidang robotika. Penelitian ini menyajikan model teknik pendeteksian jarak sebuah objek bercahaya menggunakan kamera webcam tunggal secara real time. Sistem yang dibangun menggunakan sebuah komputer dengan sistem operasi linux, library OpenCV untuk pengolahan citra dan script Python sebagai metode pendeteksian objek menggunakan sebuah kamera webcam. Data-data dari hasil pengujian pendeteksian jarak di plot dan disajikan dalam bentuk grafik. Dari hasil pengujian yang telah dilakukan menunjukan bahwa dengan memanfaatkan luasan sebuah objek bercahaya yang tertangkap kamera didapatkan informasi jarak antara objek tersebut dengan kamera.
