ARTICLE
TITLE

Automatic Detection of Helmets on Motorcyclists Using Faster - RCNN

SUMMARY

Motorcycles have been a popular choice for a go-to daily means of transportation due to its lower price, making it affordable for high to low-class citizens. Helmets are required for every motorcycle owner so that the rider’s head is protected from accidents. However, not many people follow the rules and tend to not wear helmets and plenty of them underestimate the usage of helmets. For this, it is necessary to implement a system that can detect which rider wears the helmet or not by applying deep learning techniques. This paper aims to implement one of the deep learning techniques, which is Faster R – CNN to detect the helmets and the motorcyclists. After training 400 images using different learning rates, the mean average precision (mAP) achieved the highest with 87% using the learning rate of 0.0001

 Articles related

Putu Hendra Suputra,Anggraini Dwi Sensusiati,Myrtati Dyah Artaria,Gijsbertus Jacob Verkerke,Eko Mulyanto Yuniarno,I Ketut Eddy Purnama    

Cranial anthropometric reference points (landmarks) play an important role in craniofacial reconstruction and identification. Knowledge to detect the position of landmarks is critical. This work aims to locate landmarks automatically. Landmarks positioni... see more


Musli Yanto, Yogi Wiyandra    

Ground Glass Opacities (GGO) are a picture of abnormal lung conditions characterized by white or gray areas. This picture of GGO in the lungs could previously be detected based on the results of medical examinations such as Computerized Tomography (CT sc... see more


Yani Nurhadryani, Wulandari Wulandari, Muhammad Naufal Farras Mastika    

The overcapacity of vehicle numbers is one of the significant causes of the traffic congestion problem on Indonesia roadways. The government applies a One-way system (SSA) as one proposed solution to unravel the congestion. However, several congestion po... see more


Akshay Kumar, Ranvijay Singh, Shashidhara, Neha, Thirukrishna    

As we know that Plant disease detection is an interesting field. Plants are the way to live. In our daily life we are completely dependent on plants. There by plants should be taken care. In most of the studies it is been shown that quality of agricultur... see more


Erwin Dhaniswara,Yosi Kristian,Esther Irawati Setiawan    

Automatic fruit detection utilizing computer vision techniques has been carried out to help the agriculture and plantation industries. This study researches smart systems to detect bananas and ripeness classification utilizing residual neural networks. T... see more