The paper presents a study of existing methods for motion and face detection algorithms and
their application to the on-board miniature Raspberry Pi computer. The algorithms realized …

The article presents a way of using machine learning algorithms to recognize objects in
images. To implement this task, an artificial neural network was used, which has a high …

The paper presents digital image objects detection and recognition system using artificial
neural networks and drones. It contains description based on example of person …

In recent image processing, beyond the object recognition problem, deep learning has been
used in various aspects such as object detection, semantic segmentation. In addition, classic …

Skin cancer is the most common type of cancer [1]. Between different malignant skin
pathology melanoma is the most fleeting and mortality. Despite the superficial location of …

Eyesight is a person's unique ability to visually notice obstacles in their path. But,
unfortunately, this statement does not apply to everyone. Moving from one place to another …

Internet of Things is the emerging technology which evolves drastically in all the domains
like industries, medicine, companies, house hold appliances, smart devices etc.,. In a bit …

In this study, the methods of deep learningbased detection and recognition of threats,
evaluated in terms of military and defense industry, using Raspberry Pi platform by …

This paper seeks to present the development, operation, and comparison of two object
recognition methods trained for the classification of different objects ranging from simple …

This paper studies a real-time face detection problem for online web applications and its
solution. The main aim of this paper is describe functionality of effective face detection …