Unveiling the Quality of MSand using Artificial Intelligence

Abstract

Easy access to portable cameras, as in the case of mobile phones, has made it possible to acquire images and process them for different applications. This motivates us to provide a system and method to detect the quality of M-Sand using Internet of Things and Artificial Intelligence integrated Mobile applications. This paper describes a system encompassing a remote application server configured to analyze the images to identify the quality of M-Sand and envisages to provide easy detection and classification of M-Sand as well as quality approximation at ease without visiting the site. The proposed model also makes it possible to find quality of M-Sand by comparing different images obtained in the site since it has different contaminants. This research is also imperative for differentiating the sand from other variabilities of M-Sand and using the process, M- Sand can be differentiated from other types of sand, M-Sand, clay or river sand. The quality of the M-Sand can be detected and ensured using this approach and promotes the construction industry to use quality M-Sand and produces better quality concrete.