Analysis of IoT Cloud Security Computerization Technology Based on Artificial Intelligence

Padmaavathy, P. A. and Bharathi, S. Suganya and Kumar, K. Arun and Prasad, Ch. V. Sivaram and Ramachandran, G. (2022) Analysis of IoT Cloud Security Computerization Technology Based on Artificial Intelligence. THIRD INTERNATIONAL CONFERENCE ON IMAGE PROCESSING AND CAPSULE NETWORKS (ICIPCN 2022), 514.0. pp. 296-304. ISSN 2367-3370

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Abstract

The concept of artificial intelligence enhanced sensor technologies has been aided by the creation of industrial robots, which serve as carriers of artificial intelligence. Based on this study background, the paper introduces the mobile robot climber's network model, hardware system, and application software. Simultaneously, the paper focuses on the mechanism compound technique and obstacle avoidance optimization technique for the climber robot. Simultaneously, the paper focuses on the mechanism compound method and obstacle avoidance control algorithm for the climber robot. Internet - of - things computing focuses on home and brings high importance industries together to promote smart security services such as household appliances, interactive media, home health care, and access controls in maintaining a safe and healthy, secure, resources, sustainable, and convenient home living environment.

Item Type: Article
Uncontrolled Keywords: Artificial intelligence, Computerization, Cloud computing, Networking robots, Security, IoT
Subjects: Computer Science > Imaging Science & Photographic Technology
Divisions: Engineering and Technology > Vinayaka Mission's Kirupananda Variyar Engineering College, Salem, India > Electronics & Communication Engineering
Engineering and Technology > Vinayaka Mission's Kirupananda Variyar Engineering College, Salem, India > Electrical & Electronics Engineering
Engineering and Technology > Vinayaka Mission's Kirupananda Variyar Engineering College, Salem, India > Mathematics
Depositing User: Unnamed user with email techsupport@mosys.org
Last Modified: 06 Feb 2026 07:13
URI: https://ir.vmrfdu.edu.in/id/eprint/7194

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