Usage of Artificial Vision Cloud Services as Building Blocks for Blind People Assistive Systems
Dennis Paulino1, Arsénio Reis2, Hugo Paredes3, Hugo Fernandes4, João Barroso5
1Dennis Paulino, INESC TEC and University of Trás-os-Montes e Alto Douro, Vila Real, Portugal.
2Arsénio Reis, INESC TEC and University of Trás-os-Montes e Alto Douro, Vila Real, Portugal.
3Hugo Paredes, INESC TEC and University of Trás-os-Montes e Alto Douro, Vila Real, Portugal.
4Hugo Fernandes, INESC TEC and University of Trás-os-Montes e Alto Douro, Vila Real, Portugal.
5João Barroso, INESC TEC and University of Trás-os-Montes e Alto Douro, Vila Real, Portugal.
Manuscript received on 19 September 2019 | Revised Manuscript received on 06 October 2019 | Manuscript Published on 11 October 2019 | PP: 453-458 | Volume-8 Issue-2S10 September 2019 | Retrieval Number: B10770982S1019/2019©BEIESP | DOI: 10.35940/ijrte.B1077.0982S1019
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This study has the objective of select the best service at image processing and recognition, running in the cloud, and best suited for usage in systems to aid and improve the daily lives of blind people. To accomplish this purpose, a set of candidate services was built, including Microsoft Cognitive Services and Google Cloud Vision. A test mobile app was developed to automatically take pictures, which are sent to the online cloud services for processing. The results and the functionalities were evaluated with the aim to measure their accuracy and relevance. The following variables were registered: relative accuracy, represented by the ratio of the number of accurate results vs. the number of results shown; confidence degree, representing the service accuracy (when provided by the service); and relevance, identifying situations that can be useful in the daily lives of the blind people. The results have shown that these two services, Microsoft Cognitive Services and Google Cloud Vision, provided good accuracy and significance, in supporting systems to help blind people in their daily tasks. It was chosen some functionalities in two APIs of services running in the cloud like face identification, image description, objects, and text recognition.
Keywords: Blind People Cloud Services Image Recognition Mobile apps Android.
Scope of the Article: Vision and Speech Perception