Devices gather data and pass it on to the high level systems. IOTBoard comes with three devices iotsense, iotgateway and dataenabler, each with a single purpose. Iotsense enables the platform to read the environment, dataeanbler enables the machines/systems to act as smart data gatherers, and iotgateway hooks them to integrate with cloud system.
After acquiring data it is stored in the cloud platform in an efficient manner so that it can be analysed further. Dashboards can be designed from this data and visualisations can be built to convey the key parameters of the system.
Statistical algorithms are used to perform monitoring and set rules that will activate once certain conditions are met or unmet. These help organisations to keep track of the factual parameters of the system.
Machine Learning algorithms allow IOTBoard platform to make predictions of failures, correcting the failures before time and hence maintaining high uptime of the system increasing revenues and reducing losses.