Object Detection System to Help Navigating Visual Impairments
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2019, Vol 10, Issue 10
Abstract
The number of people with severe visual impairments and blind people in the world is 216.6 million and 38.5 million, respectively in 2018 and that number will increase every year. While the development of Computer Vision technology became popular after that method is used in automatic driving system using an object detection system to detect surrounding object, this technology can be a solution to help blind people too. This can be done by implementing Harris Corner Detection method. Harris Corner Detection method is used to detect the corner of the object in the image taken. The number of corner and location of corner in detection result can be used for predicting position and distance. To predict the distance, a triangle rule will be used in finding the distance. Furthermore, it can predict the location and distance of the object in the picture taken. From the results of the implementation above it was found that the accuracy of object detection using Harris Corner Detector's angle detection method is 88%. Therefore, this application can help detecting objects based on the number of corner and location detected using a Smartphone.
Authors and Affiliations
Cahya Rahmad, Kohei Arai, Rawansyah Rawansyah, Tanggon Kalbu
Keywords
Related Articles
- EP ID EP665044
- DOI 10.14569/IJACSA.2019.0101020
- Views 124
- Downloads 0
Bearing Fault Classification based on the Adaptive Orthogonal Transform Method
In this work, we propose an approach based on building an adaptive base which permits to make accurate decisions for diagnosis. The orthogonal adaptive transformation consists of calculating the adaptive operator and the...
Distributed Optimization Model of Wavelet Neuron for Human Iris Verification
Automatic human iris verification is an active research area with numerous applications in security purposes. Unfortunately, most of feature extraction methods in human iris verification systems are sensitive to noise, s...
Impact Factors of IT Flexibility within Cloud Technology on Various Aspects of IT Effectiveness
Cloud computing Adoption has achieved an essential inflection factor; this is affecting IT and business models and strategies all through the industries. There is a lack of empirical evidence how the adoption of cloud te...
On the Performance of the Predicted Energy Efficient Bee-Inspired Routing (PEEBR)
The Predictive Energy Efficient Bee Routing PEEBR is a swarm intelligent reactive routing algorithm inspired from the bees food search behavior. PEEBR aims to optimize path selection in the Mobile Ad-hoc Network MANET ba...
Modification of CFCM in The Presence of Heavy AWGN for Bayesian Blind Channel Equalizer
In this paper, the modification of conditional Fuzzy C-Means (CFCM) aimed at estimation of unknown desired channel states is accomplished for Bayesian blind channel equalizer under the presence of heavy additive Gaussian...