Kakinada- A journey from an idyllic coastal town to a Smart City

 A distant dream!!

Up until two years back, Kakinada was just a simple, idyllic coastal town of farmers and fishermen, reliant on the Godavari delta for their living. A respite from the humid weather generally consisted of a walk under the breezy green canopies of its 20-acre park or watching a movie in one of many cinema halls it has.

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Today, Kakinada’s 3.25 lakh residents proudly flaunt their digital edge with Wi-Fi and app access, digitally monitored citizen safety, smart parking,, access to administrative services, smart lighting, e-challan, CCTV surveillance and many more with STL’s cutting-edge Smart City applications.

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Here is a glimpse of how it impacts the day to day lives of citizens:

Bridging the gap between administration and citizens

Most of the times, people do not benefit from government initiatives because they are not aware of them. The KMC officials have started using variable message display system to create awareness regarding their announcements.

Intelligent edge on law and order management

Equipped with STL’s end to end safety ecosystem that consists of surveillance cameras, advanced face recognition technology, video analytics and automatic alerts, safety and security has a new definition. The Smart City surveillance has helped the Police Department in detecting crimes, ensuring faster resolution rates, in reducing road accident casualties and traffic violations.

Being ecologically smart

Deployment of smart lights has enabled energy conservation. Smart lighting solutions have been deployed with centralised controls to conserve energy and ensure that the city is well lit at all times. Apart from this, STL’s IoT driven waste management ecosystem effectively handles garbage collection and disposal system with 110 smart bins and auto-collection mechanisms to make Kakinada ‘Swachh’.

Maintaining detailed analysis of city records

Smart solutions incorporated by STL enable automatic analysis of government data to have a detailed tax collection trend and list out tax defaulters. This drastically reduced the need for manual intervention and tampering of data. The same can be applied to various other government records and citizen profiles to create a robust governance model.

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