Smart Home Shield and Automation System Using Facebook Messenger Chatbot

Ahmed, Sakib; Paul, Debashish; Masnun, Rubaiya; Shanto, Minhaz Uddin Ahmed; Farah, Tanjila

doi:10.1109/tensymp50017.2020.9230716

Cited by 6 publications

(6 citation statements)

References 15 publications

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“…The integration of face recognition into chatbot functionality is another example of technology specialization (in addition for using core chatbot text and NLP technologies); however, while some cases added this technology separately (e.g., Angeline et al [72]; Ahmed et al [73]), many of the presented cases of chatbot usage of face-recognition are also using voice recognition (e.g., [74,75]).…”

Section: Face and Sentiment Recognition And Chatbotsmentioning

confidence: 99%

Artificial Intelligence Synergetic Opportunities in Services: Conversational Systems Perspective

Rozenes

Cohen

2022

Applied Sciences

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The importance of this paper is its discovery of the unused synergetic potential of integration between several AI techniques into an orchestrated effort to improve service. Special emphasis is given to the conversational capabilities of AI systems. The paper shows that the literature related to the use of AI in service is divided into independent knowledge domains (silos) that are either related to the technology under consideration, or to a small group of technologies related to a certain application; it then discusses the reasons for the isolation of these silos, and reveals the barriers and the traps for their integration. Two case studies of service systems are presented to illustrate the importance of synergy. A special focus is given to the conversation part of these service systems: the first case presents an application with high potential for integrating new AI technologies into its AI portfolio, while the second case illustrates the advantages of a mature application that has already integrated many technologies into its AI portfolio. Finally, the paper discusses the two case studies and presents inclusion relationships between AI capabilities to facilitate generating a roadmap for extending AI capabilities with synergetic opportunities.

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Section: Face and Sentiment Recognition And Chatbotsmentioning

confidence: 99%

Artificial Intelligence Synergetic Opportunities in Services: Conversational Systems Perspective

Rozenes

Cohen

2022

Applied Sciences

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“…In [9] and in [10] two IoT platforms for home monitoring and remote control are presented. They have a builtin chatbot that can understand text or voice commands using NLP.…”

Section: State Of Artmentioning

confidence: 99%

“…Fig 10 . Scores that have been obtained by matching the queries with the intent during the setting of the devices and data retrieval…”

mentioning

confidence: 99%

Lysis chatbot: A virtual assistant for IoT platforms

Cossu¹,

Girau²,

Atzori³

2021

ITU-J FET

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The configuration and management of devices and applications in Internet of Things (IoT) platforms may be very complicated for a user, which may limit the usage of relevant functionalities and which does not allow its full potential to be exploited. To address this issue, in this paper we present a new chatbot which is intended to assist the user in interacting with an IoT platform and allow them to use and exploit its full potential. The requirements for a user-centric design of the chatbot are first analyzed, then a proper solution is designed which exploits a serverless approach and makes extensive use of Artificial Intelligence (AI) tools. The developed chatbot is integrated with Telegram to message between the user and the Lysis IoT platform. The performance of the developed chatbot is analyzed to assess its effectiveness when accessing the platform, set the main devices' parameters and request data of interest.

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“…LoRa WAN fills a specialized hole for portable based and a WiFi networks which needs higher power or high transfer speed, or even the failure to enter into profound indoor regions. In (16) , the author has proposed a procedure by considering the monetary state of individuals of an agricultural nation like Bangladesh. The author has proposed an IoT based savvy home security and computerization framework named 'Facebook courier Chatbot' which has made involving Raspberry PI as the focal processor.…”

Section: Introductionmentioning

confidence: 99%

An Intelligent Quad Level Digital Lock System for Safety Vaults

Arthi,

Kumar,

Aravindan

et al. 2023

IJST

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Objectives: The current authentication system relates to the wellbeing of safety and security through individual verification of OTP, face or email. The proposed framework guarantees through four level verification such as face recognition, QR code access, OTP and a valid email authentication to access the security lock. Method: The methodology uses four step verification process of one time password, password authentication, face recognition of the user and authenticated verification of the user. Findings: The significant findings of the proposed computerized code lock framework in the places of the client has been characterized and server produced digits in addition to client that makes figuring out or hacking the code more intricate and furthermore tedious. Novelty : The proposed work subsequently describes the novelty of an advanced code lock security framework wherein the client has been granted access with the support of four stages of authentication. The various stages of the authentication includes verification of face recognition, QR code access, OTP generation and valid email verification.

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Smart Home Shield and Automation System Using Facebook Messenger Chatbot

Cited by 6 publications

References 15 publications

Artificial Intelligence Synergetic Opportunities in Services: Conversational Systems Perspective

Artificial Intelligence Synergetic Opportunities in Services: Conversational Systems Perspective

Lysis chatbot: A virtual assistant for IoT platforms

An Intelligent Quad Level Digital Lock System for Safety Vaults

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