Cost‐Effective Voice‐Controlled Real‐Time Smart Informative Interface Design With Google Assistance Technology

Santra, Soumen; Mukherjee, Partha; Deyasi, Arpan

doi:10.1002/9781119764113.ch4

Cited by 2 publications

(2 citation statements)

References 17 publications

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“…Automated accident avoidance was recently reported in a practical prototype model [22][23][24] showing both satisfactory levels of accuracy and efficiency.…”

Section: Literature Reviewmentioning

confidence: 97%

“…The project satisfies all general and nonfunctional requirements and, moreover, is implemented in a modular way, so that it can be easily modified or rewritten at a later stage. Valli et al [18] and other groups also [19] introduced two different techniques. Two different technologies of his were employed in this paper: Embedded and Android.…”

Section: Literature Reviewmentioning

confidence: 99%

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Dynamic Automation of a Moving Vehicle at Real time along with Position and Condition Tracking

Santra,

Sinha,

Deyasi

2024

JICS

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The present work deals with real-time database updation of moving vehicle through dynamic automation system, where position and internal conditions of the car are auto-saved in the cloud server. The total embedded system is a simulated prototype, already implemented virtually for smaller distance movement on suitable road condition, where the auto-checking of the fuel remained shows the novelty of the system compared to the existing data available in literature. As evident form experimental results, soil moistures sensor detects the road condition, whereas ultrasonic helps to reduce the accident probability with real-time tracking. Humidity and temperature sensors also give real-time environmental condition outside the car which is crucial while driving at extreme climatic condition. Insurance companies as beneficiaries also check the status of it if the car is suffered from accidents or unnecessary external coercive influences. Data display facility is available at real time to avoid any unwanted proximity with nearby moving/standing objects, and later can be retrieved from the secured database. The work may be extended as a complete autonomous tracker with condition monitor in future automobile industry.

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“…Automated accident avoidance was recently reported in a practical prototype model [22][23][24] showing both satisfactory levels of accuracy and efficiency.…”

Section: Literature Reviewmentioning

confidence: 97%

Section: Literature Reviewmentioning

confidence: 99%