This paper is about the detection of traffic rule
breach via computer vision which takes the feed from the
traffic surveillance system, processes the video feed, detects
the breach and alerts the traffic police. The number of
traffic accidents is on the rise with the increasing number
of vehicles. Traffic breach is the biggest cause of accidents.
So, to mitigate this problem our system processes the CCTV
camera feed in real-time, detects the traffic rule breach
events and sends the push notification to the android based
application of the traffic police stationed nearby; so, further
actions can be taken. As this system detects breach faster
than humans, the concerned authoritarian department will
be at ease in implementing safe roads accurately. This
system acts as an add-on to the current video surveillance
system rather than building new infrastructure. Thus, the
output of this system can be used not only or safety and
security purposes but as well as for analytical purposes with
effective traffic monitoring at a lower cost. Hence, this
system aids law enforcement agencies in implementing road
safety efficiently and effectively ensuring smooth traffic
flow.
COMPUTER VISION BASED TRAFFIC RULE BREACH DETECTION
