A survey on indoor mapping & best path finding models using an AI Chatbot for quick services at shopping malls

A lot many indoor localization and mapping process has been introduced during the modern computing era, however the localization techniques has been applied in Artificial intelligence since few years in different environments as a robotic services,. The comparative study on various indoor localizati...

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Bibliographic Details
Main Authors: Nagaraju, Thandu, Murugeswari, R.
Format: Conference Proceeding
Language:English
Subjects:
Algorithms
Artificial intelligence
Comparative studies
Customer services
Dead reckoning
Machine learning
Shopping malls
Smart sensors
Online Access:Get full text
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Summary:A lot many indoor localization and mapping process has been introduced during the modern computing era, however the localization techniques has been applied in Artificial intelligence since few years in different environments as a robotic services,. The comparative study on various indoor localization algorithms like Dead Reckoning and smart SLAM are examined and data collection process with various sensors on smart devices and robots are examined for future POS Model building with effective customer services at the huge Shopping malls and predictions for the customer based on his history. Machine learning algorithms implementation into POS(Point of sale) at Large Shopping mall will help the users in identifying and pointing needed product will make the POS system faster service to Customers. This makes the user assistance and sales process as quick as we like E-commerce applications.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0118507