The continuous COVID-19 upsurge and emerging variants present unprecedented
challenges in many health systems. Many regulatory authorities have instituted the …

A computer views all kinds of visual media as an array of numerical values. As a
consequence of this approach, they require image processing algorithms to inspect contents …

Due to the ever increasing traffic on roads, there has been a pressing need for Automatic
Vehicle Detection (AVD) systems, so that the real-time traffic can be observed as well as …

Several deep learning algorithms have shown amazing performance for existing object
detection tasks, but recognizing darker objects is the largest challenge. Moreover, those …

This study optimized the latest YOLOv5 framework, including its subset models, with training
on different datasets that differed in image contrast and cloudiness to assess model …

Object recognition is the technique of specifying the location of various objects in images or
videos. There exist numerous algorithms for the recognition of objects such as R-CNN, Fast …

Vision impairment affects an individual's quality of life, posing challenges for visually
impaired people (VIPs) in various aspects such as object recognition and daily tasks …

Vehicle identification and classification are some of the major tasks in the areas of toll
management and traffic management, where these smart transportation systems are …

A multiclass 3D object recognition has perceived a numerous evolution with respect to both
accuracy and speed. This study introduces the implementation of modern YOLO algorithms …

Aiming at the problems of inefficient detection caused by traditional manual inspection and
unclear features in metal surface defect detection, an improved metal surface defect …