START: Smart Stick based on TLC Algorithm in IoT Network for Visually Challenged Persons

Johari, Rahul; Gaurav, Nitesh Kumar; Chaudhary, Sapna; Pramanik, Apala

doi:10.1109/i-smac49090.2020.9243517

Cited by 7 publications

(3 citation statements)

References 11 publications

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“…The formation of smart blind stick can easily implement the calculation of accurate distance and it could provide greater flexibility in navigation [33]. The devices and peripherals that will be used in this system could have the capability of judging the obstacles nearby and take necessary steps.…”

Section: Proposed System and Components Descriptionmentioning

confidence: 99%

Obstacle Detection and Assistance for Visually Impaired Individuals Using an IoT-Enabled Smart Blind Stick

Malla¹,

Sahu²,

Patnaik³

et al. 2023

RIA

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As technological advancements permeate various aspects of life, they offer renewed hope for individuals grappling with disabilities. This paper focuses on the visually impaired population, who face considerable challenges in mobility due to physiological or neurological conditions causing blindness. Despite a reliance on external aid, a growing preference for self-sufficiency is observed among these individuals. In response to this, a pioneering tool, the Smart Blind Stick (SBS), is proposed to alleviate their mobility-related difficulties. The SBS is an advanced adaptive tool, designed to address daily navigation challenges faced by visually impaired individuals. The device operates by identifying obstacles and accurately calculating their distances using an integrated system of an Arduino UNO controller, Viola Jones algorithm, ultrasonic and water sensors. The SBS is equipped with a camera and advanced ultrasonic sensors, along with enhanced coding systems, enabling users to detect objects and navigate through challenging terrains. The SBS distinguishes itself from conventional aids by serving as an autonomous navigation companion, alerting the user of potential hazards such as water bodies, walls, staircases, or uneven surfaces via a headset connected to their phone. This paper elaborates on the development, functionality, and anticipated impact of the SBS in fostering greater autonomy among visually impaired individuals.

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Section: Proposed System and Components Descriptionmentioning

confidence: 99%

Obstacle Detection and Assistance for Visually Impaired Individuals Using an IoT-Enabled Smart Blind Stick

Malla¹,

Sahu²,

Patnaik³

et al. 2023

RIA

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“…Rahul Johari et al [22] presented a smart stick that is based on a TLC (traffic light cross-ing) algorithm for visually impaired people can use for navigation and guidance while nav-igating through streets and crossing traffic signals. This smart stick contains an ultrasonic sensor for detecting obstacles, a colour sensor for detecting traffic light colour, a buzzer and GSM-based SMS alert system.…”

Section: Literature Reviewmentioning

confidence: 99%

"Traffic Light Issues for Visually Impaired People"

Khalid¹,

IQBAL²,

SAMAND³

et al. 2022

Preprint

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“…The multidiscipline industries that adopt IoT as a technology have their own variation of attacks on their IoT applications and infrastructures. The concept of sensors connecting to each other and transmitting big data in a two-way traffic in an IoT ecosystem typically creates vulnerabilities [13], [15]- [17] in the IoT network system. In the Smart City ecosystem in Ukraine that utilizes Smart energy grid system to serve the city, 30 of such Smart energy were attacked [8], [16], and (https://www.thenational.ae/uae/smart-cities-open-door-to-cyberattacks-say-security-experts-1.672214), and 80,000 residents were without power supply for several hours due to the adversarial malicious attack on the Smart Grid system.…”

Section: Iot Attacksmentioning

confidence: 99%

iDRP Framework: An Intelligent Malware Exploration Framework for Big Data and Internet of Things (IoT) Ecosystem

Eboya¹,

Juremi²

2021

Adv. sci. technol. eng. syst. j.

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The Internet of Things (IoT) is at a face paced growth in the advanced Industrial Revolution (IR) 4.0 in the modern digital world. Considering the current network security challenges and sophistication of attacks in the heavily computerized and interconnected systems, such as an IoT ecosystem, the need for an innovative, robust, intelligent and adaptive malware attacks and threats security solution is becoming predominant in the current cyberspace. An integrated and scalable IoT malware detection framework called iDRP framework with deep learning method was proposed as a solution to current IoT malware attacks that are largely obfuscated. The novel framework utilized systematic pre-processing and post-processing techniques and methods on the BoTNetIoT malware datasets that contains both benign and malicious IoT traffic data infected by modern day IoT attacks such as Mirai and Gafgyt etc. IoT malware variants in an IoT ecosystem. The raw IoT malware binaries were converted to image files (Gray-scaled) and computed statistically with synthesised sparsed and differential evolutionary hidden feature structures techniques, which were cyclically trained, tested, and cross-validated to establish empirical anomalies with precision in the detection, recognizing, and prediction of malware anomalies in a modern IoT ecosystem. Preliminary experiments were conducted with standardized image binary files such as the datasets as sound scientific exploratory experiments with profound results. The comparative results of the performance of our integrated techniques and methods on the BoTNetIoT IoT malware datasets achieved a 99.98% accuracy, 99.99% ROC/AUC, 99.95% precision, and 99.93 recall rate etc. utilizing the integrated iDRP framework mechanisms for effectively detecting IoT malware in an IoT ecosystem.

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START: Smart Stick based on TLC Algorithm in IoT Network for Visually Challenged Persons

Cited by 7 publications

References 11 publications

Obstacle Detection and Assistance for Visually Impaired Individuals Using an IoT-Enabled Smart Blind Stick

Obstacle Detection and Assistance for Visually Impaired Individuals Using an IoT-Enabled Smart Blind Stick

"Traffic Light Issues for Visually Impaired People"

iDRP Framework: An Intelligent Malware Exploration Framework for Big Data and Internet of Things (IoT) Ecosystem

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