Detection of Logos of Moving Vehicles under Complex Lighting Conditions

Zhao, Qiang; Guo, Wenhao

doi:10.3390/app12083835

Cited by 4 publications

(3 citation statements)

References 36 publications

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“…Identifikasi logo kendaraan yang akurat dan cepat memiliki berbagai kegunaan dalam permintaan kendaraan, pelarian kendaraan, dan aspek lainnya. Oleh karena itu, pengenalan dan klasifikasi logo sangat penting [3].…”

Section: Jurnal Sistem Informasi Dan Telematika (Telekomunikasi Multi...unclassified

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Optimasi Mendeteksi Klasifikasi Citra Digital Logo Mobil Indonesia Dengan Metode Single Shot Multibox Detector

Mulyana¹,

Zikri²

2022

Explore. jurnal. sistem. inf. dan. telematika

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The car logo is one of the features that can identify a vehicle. However, many of the intelligent transportation systems are currently under development and do not yet use a car vehicle recognition system as part of a vehicle identification tool. The previous methods, namely the Local Binary Pattern and Random Forest Methods, had low recognition rates for most small vehicle logos and poor performance under complex environments. The aim of this research is to introduce a unique car logo and to improve detection of car logos in Indonesia. The logo that was later discovered was used to find the car brand in no time. In this study we use the Single Shot Multibox Detector method which is known to detect objects running on the Jupyter Notebook Application. The data used for this research is of a public nature obtained from the Kaggle website dataset source which contains a number of varying images. There are 7 classes of car brands, namely Volkswagen, Hyundai, Lexus, Mercedes, Peugeot, Renault, and Tesla. Data testing in this study obtained 1,240 images for training data and 270 images in the test data category that had been tested and resulted in an evaluation value with the best accuracy value of 98.89% and a loss value of 0.025%.

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Section: Jurnal Sistem Informasi Dan Telematika (Telekomunikasi Multi...unclassified

“…Algoritma deep learning telah menjadi populer di bidang penelitian visi komputer dan para sarjana mulai menggunakan algoritma tersebut untuk pengenalan logo, membentuk cabang penting dari visi computer [3].…”

Section: Model Deep Learningunclassified

Optimasi Mendeteksi Klasifikasi Citra Digital Logo Mobil Indonesia Dengan Metode Single Shot Multibox Detector

Mulyana¹,

Zikri²

2022

Explore. jurnal. sistem. inf. dan. telematika

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“…[9] this paper suggests the method of car logo identification with recognition. Adaptive image enhancement is utilized to increase detection accuracy in the automobile signs in photographs taken in complicated lighting settings by more than 2%; the target detection method is improved in this research to increase the detection accuracy of vehicle logos in diverse images by more than 3% [10].…”

Section: Introductionmentioning

confidence: 99%

The study of deep learning for automotive logo recognition and classification

Saeed,

Mohammed,

Khaleel

et al. 2023

PEN

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Most vehicle manufacturer recognition (VMR) techniques are established in vehicle logo recognition because a vehicle's logo is the most obvious sign from the vehicle's manufacturer. However, due to the difficulty in accurately segmenting a vehicle logo on the picture with demand in resilience against many imaging scenarios, logo recognition can still be challenging. After subjective overview about this scope, a convolutional neural network (CNN) method for VMR is investigated in this research, which does away with the need for exact logo detection and segmentation. A powerful pertaining approach has also been developed to improve real-world applications to lower the high computational cost for kernel training on CNN-based systems. The contribution of this paper is to study the multiclass logo employing random forest ensemble learning and convolution mapping in nonlinear space. To boost accuracy by roughly 35%, 800 images from 15 types of car classes were investigated in the paper.

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