With the installation of enormous public safety and transportation infrastructure cameras,
video analytics has come to play an essential part in public safety. Typically, video analytics …

Internet of Things (IoT) applications generate massive amounts of real-time streaming data.
IoT data owners strive to make predictions/inferences from these large streams of data often …

Cloud computing and edge computing models are popularly applied in emerging
applications, such as smart homes, smart parks, and connected autonomous vehicles for …

Computer vision is widely used to detect anomalies in video processing systems for public
safety. Applying Deep Neural Networks (ie, DNNs) in computer vision can achieve a high …

Deep neural network (DNN)-based video processing methods are applied in mobile video
analytics because of high accuracy. Edge computing is an efficient paradigm that improves …

Augmented Reality (AR) as a technology will improve the way we work and live in the future.
The Microsoft HoloLens device allows for rendering of interactive virtual components into a …

Large amounts of data are being generated across many different domains including
datacenters, surveillance cameras, mobile devices and other Internet-of-things (IoT) …

Our exploration study is a preface on Body Worn Cameras (BWC) technology in health-tech
vertical. BWC is quite a common outfit used in the law enforcement segment. BWC has been …

With the increase of the global aging population, elderly care has become an important
social issue around the world. Human-centered telehealth provides more efficient and …