AI Intern Final Project Demo - Sapireddy Srinivas Rahul
Rock Identification Using Deep Convolution Neural Network
Category: Deep Learning
Skills Required:
Python, Python Web FrameWork, CNN
Rocks are a fundamental component of Earth. The automatic identification of rock type in the field would aid geological surveying, education, and automatic mapping. It is a basic part of geological surveying and research, and mineral resources exploration. The automatic identification of rock type in the field would aid geological surveying, education, and automatic mapping. Working conditions in the field generally limit identification to visual methods, including using a magnifying glass for fine-grained rocks. Visual inspection assesses properties such as color, composition, grain size, and structure. The attributes of rocks reflect their mineral and chemical composition, formation environment, and genesis. The color of the rock reflects its chemical composition. But this analysis is the time taken the process to identify the rocks. Its application here has effectively identified rock types from images captured in the field. This paper proposes an accurate approach for identifying rock types in the field based on image analysis using deep convolutional neural networks.