Computer Assisted Intelligent Highway Safety and
Alert System in Relation to Indian Scenario using
LabVIEW
Journal:
GRENZE International Journal of Computer Theory and Engineering
Authors:
Sharma S, Shah D, Bhavsar R
Volume:
1
Issue:
1
Grenze ID:
01.GIJCTE.1.1.533
Pages:
39-49
Abstract
Intelligent highway safety systems are very helpful as they helps us in reducing
the number of accidents that are happening on the road between the vehicle and other
obstacles on the road. By intelligent highway safety system, we mean automatic lane
detection and object detection (vehicle detection, pedestrian detection and animal detection)
systems which assists the driver by identifying the potential threat on the road and also
gives the alert signal to the driver for preventing the collision of the vehicle with the other
obstacles on the road. Lot of work has already been done in automatic lane detection ,
vehicle detection and pedestrian detection but still researches are going on in automatic
animal detection system which can help in reducing the number of collisions that are
happening between vehicle and the animals on the road. In this paper first we will briefly
explain the necessity of automatic animal detection system, then the brief survey of other
methods which have been used in the past for the animal detection followed by our proposed
method based on image processing techniques and Vision Assistant and LabVIEW software
of NI for automatic animal detection in relation to Indian scenario. The proposed technique
is applied to different videos of cow and dog which are mostly found on Indian roads. The
system correctly identifies the animal in the video and also alerts the driver once the animal
is detected in the video. An overall efficiency of almost 90% is achieved for animal detection.