In recent years, there has been a transformative shift in how electronic devices operate. Traditionally, the intelligence of small sensors was confined within their physical boundaries, placing heavy computational and power consumption burdens on their very limited resources. However, with the advent of IoT networks, this computational load can now be shared with the cloud, removing some of the burden. This is compensated, however, by the need for the devices to handle the complexities of network integration.

The cloud allows data to be analysed in detail as well as be presented in a user-friendly way and on a varierty of platforms. Data can be integrated into existing databases too, such as maps, order to give it context and greater relevance.

IoT sensors can produce huge amounts of very useful data, beyond the immediate. Historical trends can be observed, and future trends predicted with the use of machine learning and artificial intelligence more generally. Telemonitron’s Panamonitor platform is where users have access to this collected data, and it can be accessed visually or automatically via API queries. In the immediate, it is possible to access cloud server data through the Panamonitor app as well as directly through web interface.

Seamless Integration with the Panamonitor App

The Panamonitor app allows field staff to directly interface with devices nearby, as well as update the database with relevant observations if necessary. Having everything, measured data and observed data, all stored in the cloud makes analysis and presentation much more effective and reliable.