DetectSignal: A Cloud-Based Traffic Signal Notification System for the Blind and Visually Impaired

Ihejimba, Chikadibia; Wenkstern, Rym Z.

doi:10.1109/isc251055.2020.9239004

Cited by 5 publications

(4 citation statements)

References 9 publications

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“…The system uses computer vision and machine learning techniques to detect traffic signals. It sends notifications to users through a mobile app, enabling them to navigate safely and independently in urban environments [10].…”

Section: Related Workmentioning

confidence: 99%

Let Us Create A Lambda Function for Our IoT Device In The AWS Cloud Using C#

Chakraborty

Aithal

2023

IJMTS

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Purpose: This research paper explores the process of creating a Lambda function for an IoT device in the AWS cloud using C#. It provides a comprehensive guide to the steps involved in building a Lambda function, including setting up the AWS environment, creating the Function using C#, and deploying it to the cloud. Additionally, the paper will discuss the benefits of using Lambda functions for IoT devices, such as cost-effectiveness and scalability. It will provide examples of real-world use cases for this technology. By the end of this paper, readers will clearly understand how to create Lambda functions for their IoT devices using C# in the AWS cloud and will be able to apply this knowledge to their projects. Design/Methodology/Approach: A comprehensive literature review was conducted to gather information on the AWS cloud, IoT devices, and Lambda functions. The Lambda function was created using C# in Visual Studio. This involved writing the necessary code to perform the desired functionality, testing the Function locally, and packaging it for deployment. The Lambda function deployed to the AWS cloud using the AWS Management Console. Findings/Result: The AWS environment can be easily configured with IoT devices and Lambda functions. AWS allows for cost-effective and scalable solutions that can be easily managed and monitored. Creating a Lambda function using C# in Visual Studio is straightforward and allows for powerful and flexible coding techniques. The deployment of the Lambda function to the AWS cloud is simple and can be achieved using the AWS Management Console. Originality/Value: It offers a comprehensive guide to creating a Lambda function for an IoT device in the AWS cloud using C#. This guide includes a step-by-step approach to setting up the AWS environment, creating the Function using C#, and deploying it to the cloud. It demonstrates the real-world application of Lambda functions for IoT devices, providing examples of use cases and demonstrating the benefits of this technology. Paper Type: Experimental-based Research.

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Section: Related Workmentioning

confidence: 99%

Let Us Create A Lambda Function for Our IoT Device In The AWS Cloud Using C#

Chakraborty

Aithal

2023

IJMTS

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“…The latter developed traffic lights detector as an initial component of a two-tier architecture context-aware navigation system which are ‘Mobile Navigation and Awareness Server’ (mNAS) (any smartphone device in the market) and the ‘Cloud Navigation and Awareness Server’ (cNAS). Ihejimba and Wenkstern (2020) proposed a solution, DetectSignal, that provides high-speed and low-latency traffic signal notification, both for individuals with visual impairments. Wearables are potentially helpful in this context; Huang et al (2017) developed a wearable device that would provide an improved transit experience to visually impaired individuals, compared to traffic light buzzers.…”

Section: Related Work – History Of Traffic Lights Worldwide and Their...mentioning

confidence: 99%

Smart traffic lights for people with visual impairments: A literature overview and a proposed implementation

Theodorou

Μηλιώνης

Filios

2022

British Journal of Visual Impairment

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Attempting to establish aids for individuals who are visually impaired has urged many cities to seek solutions for improving their quality of life. Namely, cities have installed sound-emitting devices into traffic lights as well as sidewalks that assist their navigation. Moreover, as cities are always striving to move forward and achieve innovations concerning navigation for disabled individuals, smart traffic lights, capable of synchronizing in real-time according to traffic and individual mobility conditions, are already being installed around the world. This is in line with the adoption of the smart city concept, which involves a set of methodologies and indicators that regulate how cities perform regarding the promotion of citizens’ quality of life. Another important principle is the techno-economic aspect indicating the need for low-cost careful planning to produce cost-efficient solutions, while additional important issues are maintenance, power efficiency, and the means to coordinate numerous devices to facilitate operation in a timely and reliable manner. In this article, we present an overview of the existing solutions for the navigation of people who are blind and visually impaired along with a requirement analysis performed on the feedback received from interviews with members of the Lighthouse for the Blind of Greece both of which lead to the proposal of a new implementation that pushes the state of the art.

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“…Ihejimba et al [54] propose a highly available, highly scalable, low-latency IoT edge computing solution for traffic light notification. It consists of (1) a Raspberry Pi 4 (Linux), (2) a smartphone device and (3) access to the AWS cloud.…”

Section: Introductionmentioning

confidence: 99%

An Extended Usability and UX Evaluation of a Mobile Application for the Navigation of Individuals with Blindness and Visual Impairments Outdoors—An Evaluation Framework Based on Training

Theodorou

Tsiligkos

Μηλιώνης

et al. 2022

Sensors

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Navigation assistive technologies have been designed to support the mobility of people who are blind and visually impaired during independent navigation by providing sensory augmentation, spatial information and general awareness of their environment. This paper focuses on the extended Usability and User Experience (UX) evaluation of BlindRouteVision, an outdoor navigation smartphone application that tries to efficiently solve problems related to the pedestrian navigation of visually impaired people without the aid of guides. The proposed system consists of an Android application that interacts with an external high-accuracy GPS sensor tracking pedestrian mobility in real-time, a second external device specifically designed to be mounted on traffic lights for identifying traffic light status and an ultrasonic sensor for detecting near-field obstacles along the route of the blind. Moreover, during outdoor navigation, it can optionally incorporate the use of Public Means of Transport, as well as provide multiple other uses such as dialing a call and notifying the current location in case of an emergency. We present findings from a Usability and UX standpoint of our proposed system conducted in the context of a pilot study, with 30 people having varying degrees of blindness. We also received feedback for improving both the available functionality of our application and the process by which the blind users learn the features of the application. The method of the study involved using standardized questionnaires and semi-structured interviews. The evaluation took place after the participants were exposed to the system’s functionality via specialized user-centered training sessions organized around a training version of the application that involves route simulation. The results indicate an overall positive attitude from the users.

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DetectSignal: A Cloud-Based Traffic Signal Notification System for the Blind and Visually Impaired

Cited by 5 publications

References 9 publications

Let Us Create A Lambda Function for Our IoT Device In The AWS Cloud Using C#

Let Us Create A Lambda Function for Our IoT Device In The AWS Cloud Using C#

Smart traffic lights for people with visual impairments: A literature overview and a proposed implementation

An Extended Usability and UX Evaluation of a Mobile Application for the Navigation of Individuals with Blindness and Visual Impairments Outdoors—An Evaluation Framework Based on Training

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