Biometric systems are used for the verification and identification of individuals using their
physiological or behavioral features. These features can be categorized into unimodal and …

Drivers who do not take regular breaks when driving long distances run a high risk of
becoming drowsy a state which they often fail to recognize early enough according to the …

Inexpensive “point-and-shoot” camera technology has combined with social network
technology to give the general population a motivation to use face recognition technology …

Recognizing others is a major challenge for people with visual impairments (VIPs) and can
hinder engagement in social activities. We present Accessibility Bot, a research prototype …

Datasets are crucial when training a deep neural network. When datasets are
unrepresentative, trained models are prone to bias because they are unable to generalise to …

This paper presents an accurate and efficient eye detection method using the discriminatory
Haar features (DHFs) and a new efficient support vector machine (eSVM). The DHFs are …

After decades of study, automatic face detection and recognition systems are now accurate
and widespread. Naturally, this means users who wish to avoid automatic recognition are …

This paper gives real time approach for detection of driver drowsiness due to fatigue or
intoxication. According to survey made by government, 22% accidents are due to …

Drowsy is the reason for most of the road accidents. Manually tracing the drowsy driver is not
an easy task, because every day thousands of vehicles are running on the roads. So we …

Currently, automatic face detection systems are widely used in various social media. The
improvement of the automated intelligent face recognition can easily result in the invasion of …