The issue of data warehouse is paramount issue in any organization. Therefore, to solve the problem here we are implementing an asset management system that cover Asset Management, procurement, identifies, recognize and gives an assistant to help us in doing the above. Actually, the main basic problem is identifying assets. Here, in our real life, we might be not aware about most of the assets around us. Sometime it may be small assets stored in containers while sometime large assets to be identified. Therefore, our system will help us in recognizing them individually and help us to detect what type of assets they actually are with the descriptions and much more reliable information. The main method adopted here is tagging. However, the problem is that we cannot use it for small assets, as it is costlier and not reliable. As a remedy for this problem here, we are using Image recognition technique upon Inception_v3 model. It has a feature that both large and small assets can be identified using this method. Here, for this project, we are building a device that recognizes and identifies the assets with help of active and passive tags else identify assets using camera scanning. The result obtained from passive tags (NFC/ RFID), active tags (active RFID/Beacon) and image recognizer are send to web application running on cloud. Later the detailed result from cloud is passes to the user through API call’s and the personal assistant build using Dialogflow.
INTERNET OF THINGS DATA WAREHOUSE ASSET MANAGEMENT