There is a need for safety assistance visual
surveillance that can be effectively used to navigate hazardous
places which cannot be accessed by human beings. Several
high-risk conditions like radioactive zone, toxic environment and
accident-prone areas are usually approached/tackled by humans
with little to no information about their conditions. Hence our aim
is to reduce any human interaction with these unsafe
circumstances by proposing a visual surveillance robot that is
capable of moving in any terrain and can relay live information to
the controller situated at a remote location. In this paper we
address the implementation of Visual Surveillance bot by using a
Camera that rotates at 360 degree with the help of DC motor,
which illustrate the surrounding so as to provide the estimation of
danger if any. We present the execution by efficiently live
streaming information with the help of Raspberry pi and by using
the MATLAB software to create a RADAR plot by analyzing the
object detected by Ultrasonic sensor. The usage of MATLAB not
only simplifies the analysis but also helps in creating an enhanced
RADAR system by using an ARDUINO to support the ultrasonic
system in recording the echo time and object detection angle.
Abandoned Object Detection via Temporal Consistency Modeling and Back-Tracing Verification for Visual Surveillance
