Abstract:
This describes the implementation of an innovative intelligent computer
program that provides vocal instructions to safeguard a blind pedestrian from
incoming moving obstacles such as vehicles. Since it is a fundamental
requirement to recognize hazardous moving objects beforehand to produce
(vocal) instructions to avoid them, an intelligent computer program was
especially developed to recognize dynamic objects by applying a technique
called 'optical flow' and capable of predicting the motion path of detected
dynamic objects with an innovative technique named Fuzzy Mathematical
Modeling. An Artificial Intelligence technique: a Fuzzy Mathematical Model
(FMM) that relies on the study of apparent (observed) size variation of the
dynamic object. (According to research findings, a fuzzy-mathematical
relationship that exists between the m component value and the skewness of
apparent size variation graph was discovered, later fetched to a fuzzy membership function. In addition, it was observed that the c value maintains a
relationship in fuzzy-mathematical nature, with both factors m and the initial
apparent size of the object; due to a derived relationship.) Therefore, the primary
input to FMM is the graph of apparent size change with respective to time, other
than the auxiliary input - relative position change on reference frame. These two
graphs are prepared by a separate software module named Image Processing
Module comprised of efficient image processing enhanced with artificial
intelligence techniques. The functionality of Image Processing Module was
further improved by applying mathematical and statistical approaches such as
density based clustering. Once the motion path of dynamic object is known, the
possibility of determining the safety precautions is obvious. The experimental
results prove that the precision of the FMM is approximately 92%. This implies
that the researchers have achieved their objectives defined in the postulation
stage successfully with significant research findings.