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Using IOT and Big Data Analytics for Smart Governance

Abstract:

We present 3 use cases in governance, where the use of IOT, Big Data analytics, and cloud computing can help detect malpractices, and violations of laws.

1. Public Distribution System,
2. E-way bill system under the Goods and Services Tax regime, and
3. Enforcement of traffic laws on roads

These uses cases help explain the opportunities to leverage Internet of Things (IOT), to capture data at real-time, and at scale. We then discuss how big data analytics over the cloud, can help detect anamolies at a much faster rate than that will be possible with human effort.




Use Cases:

1. Chattisgarh Govt has been using RFIDs for ensuring supply of PDS ration. This system can be scaled across all states, and the data analyzed to check for anamolies in delivery of PDS ration supplies to shops.

2. The E-way bill system in GST, which has been piloted in Karnataka, involves using RFID based monitoring of vehicles, so that they don't evade tax. GST Council has said that this will be implemented across India in 2018. This presents a unique opportunity to automatically detect anomalies using machine learning algorithms on big data.

3. Improving the efficiency of Road transport using Analytics - Traffic police already use CCTVs, speed guns, and character recognition systems (of number plates) for catching violations. This data is also used to monitor traffic patterns and clear blockades. By using drones, and crowd sourcing Dash Cam feeds of cabs and logistic companies, traffic violations can be reported at scale. Examples of such violations include helmet less driving, rash driving in city roads, and right lane hogging on highways, which reduces the speed of all vehicles.

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