The aim of this intelligent surveillance system is to detect, track and classify objects detected. The intelligent
video surveillance allows segregation of all the instances present in the image or a video according to their
classes and their respective positions. A class of an instance in an image is the identification of any entity and
correlate it with the real world it might be a living or non-living thing or a specific part of any instances in an
image that can be uniquely identified such as, car on a road or mobile phone on desk. Also along with the
identification of class of an entity the respective position of an instance in an image or video is also an
important aspect while extracting information from the image let us consider that a panther is chasing a deer or
a deer is chasing a panther in this example the respective position of panther and deer has a huge impact ones
understanding about the situation. An approach towards intelligent surveillance system along with object
detection is proposed in this paper.
Keywords: Image processing, CNN, Deep learning, YOLO.
Software And Hardware
• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL