This paper deals with designing and implementing an android application for alerting the
vehicle driver with the voice alert command. The implementation begins with the speed limit …

Face detection applications using digital photos are critical in the face recognition process.
This application is used in biometric recognition systems, search systems, and security …

It is important to identify ocular sleepiness as soon as possible to prevent accidents. More
than 1.3 million people lose their lives in traffic-related incidents every year. In such …

Employees that desire to work for Amazon will find Amazon employee access to be quite
useful. Any individual on this duty who begins evolved work at a firm should obtain the …

Real-time object detection using deep learning has emerged as a burgeoning field of study
due to its potential for a wide range of applications, including autonomous driving, robotics …

Now a days everyone is looking for simplest ways for solving many types of problems.
Mostly humans' desires to interact with machines. For interaction, are in need of automatic …

Pill color, pill size and shape are few important characteristics for automatic pill detection.
However, the environmental factors may cause an effect such that a change is produced in …

One of the very significant problems in pattern recognition applications is the recognition of
handwritten characters. The applications of digit acknowledgement include postal mail …

Face recognition is a rapidly advancing field with numerous applications in security,
surveillance, biometrics, and human-computer interaction. This paper presents an …

Convolutional Neural Networks (CNNs), a machine learning model, are included into a
mobile application created using Flutter to offer a comprehensive analysis of plant …