Omnidirectional cameras are widely popular as they capture a full 360-degree view. They are often utilized for surveillance, traffic analysis, and autonomous systems. But the same wide-angle vision ...

Few-shot object detection addresses the challenge of recognising and localising novel object categories from only a handful of annotated examples. Traditional deep-learning detectors demand extensive ...

Timely and accurate detection of foreign objects is crucial for the safe operation of transmission lines in power grid. Currently, object detection models have more and more parameters and their ...

The pre-trained vgg_16.ckpt could be downloaded from http://download.tensorflow.org/models/vgg_16_2016_08_28.tar.gz ...

Abstract: This paper presents the design and implementation of an autonomous rover capable of obstacle avoidance, path retracing, and real-time object detection, utilizing a Raspberry Pi as the ...

Abstract: Industry 4.0 have transformed the fabrication industry by increasing productivity, product quality, and reducing production costs. The application of robotic arms in fabrication has become a ...