Arthropods' eyes are effective biological vision systems for object tracking and wide field of
view because of their structural uniqueness; however, unlike mammalian eyes, they can …

With the advancements of the Internet of Things (IoT) technology, applications of battery
powered machine vision based IoT devices is rapidly growing. While numerous research …

Advancements in deep learning have ignited an explosion of research on efficient hardware
for embedded computer vision. Hardware vision acceleration, however, does not address …

Unprocessed RAW video has shown distinct advantages over sRGB video in video editing
and computer vision tasks. However capturing RAW video is challenging due to limitations …

Convolutional neural networks (CNNs) are now widely deployed in a variety of computer
vision (CV) systems. These systems typically include an image signal processor (ISP), even …

When the train is running, if foreign objects are stuck between the platform tracks, it will often
cause huge safety accidents. Therefore, based on deep learning, this paper designs a wide …

The same machine learning model running on different edge devices may produce highly-
divergent outputs on a nearly-identical input. Possible reasons for the divergence include …

Visual simultaneous localization and map** (SLAM) is an emerging technology that
enables low-power devices with a single camera to perform robotic navigation. However …

Convolutional neural networks (CNNs) are now predominant components in a variety of
computer vision (CV) systems. These systems typically include an image signal processor …

(57) ABSTRACT A configurable image processing system can process image data for
multiple applications by including an image sensor capable of operating in a machine vision …