Using Smartphones as time-bound IoT setup, can save huge capital investments. However, sensor data of a $10 phone is not always be as reliable as the one from a $500 phone. Differences arise in quality of data, frequency of data acquisition, consistency of data correctness or incorrectness, and due to calibration issues.
This is a second article from a series which identifies how smartphone sensors can be used reliably to produce scientific data for IoT applications. Previous article can be found here
Part-1 – Data Regression
..IoT has changed our mindset from internet of ‘devices’ to ‘things’.
Wait.. this actually had already been happening behind the scenes through many years! From custom silicon chips, to OBC (on board computers), to Embedded systems (port based communication), SCADA (client server), to home/industry automation and now connecting every ‘thing’. The downsides and/or limitations of such a mesh network of every thing had been known for years too. Security, distribution, standardization to say the least, and money needed for physical enhancement of all the ‘things’ in the physical space.
IoT emerges as a business opportunity for many, and with advent of physical innovations ranging from better and faster silicon chips to Nano-technology, the future is exciting as we stand on the verge of next big thing...
Greater Hyderabad Municipal Corporation has partnered with RoadBounce, a Mobile based Road Condition Assessment Technology, to pilot an initiative that will help the government assess road quality and safety. RoadBounce technology captures road condition just by driving a car on any road, and provides a list of high priority patches to be fixed...