CIOInsider India Magazine

'Hello Bengaluru, this is your police commissioner’, the video begins. However, it's the commissioner’s Artificial Intelligence (AI) powered police avatar that appears on the screen, not Bengaluru Commissioner Dayananda. The Bengaluru Police Department has started deploying AI-generated avatars to convey messages to the public in a more interesting way. AI Avatars mimic actual police officers in appearance and sound, complete with lip synchronization and realistic speech patterns.

Police's AI Avtar

MN Anucheth, the Joint Commissioner of Police (Bengaluru Traffic), also made an appearance in a similar AI-generated movie discussing traffic diversions during a cricket match in Bengaluru's Chinnaswamy Stadium. The person on screen is Anucheth's digital avatar, and the entire reel, including the voice and images, was produced using an AI tool.

“We are currently testing this out and weighing the advantages and disadvantages of the moral and legal ramifications. On the basis of these(the findings), it will be fully implemented," says Dayananda.

It’s quite impressive how AI can transform a straight forward press release into an engaging visual presentation that is perfect for today's social media audience, which majorly comprises the accident prone age group of 16 to 25.

"We've even gotten to the point where AI avatars attend Zoom meetings in the business world. We might be some of the first police forces in the world to try this, “adds Dayananda.

AI Smart Cities

Cities are facing previously significant and justified demands for resources and an improved standard of living. The growing pace of urbanization, population density, and social-demographic pressures are not helping. This is where the importance of AI materializes in sustainable urban design, with its potential to improve any city through resource efficiency, waste reduction, and sustainability promotion.

While the country's central and state governments compete to employ AI, Uttar Pradesh, the country’s largest state, has taken the lead with plans to construct the nation's first AI city in Lucknow. Lucknow also has centers of Excellence in fields like AI and MedTech. In addition to supporting over 15 AI/ML firms, the AI COE fosters an innovative and entrepreneurial culture.

According to the Expression of Interest released by UP Electronic Corporation Ltd, the AI city intends to be a location where ideas thrive and the future workforce is fostered by implementing state-of-the-art technologies, research facilities, and educational institutions. The plans include constructing a tower with Grade A office space for corporates, startups, and incubators, as well as office infrastructure utilizing plug and-play technology.

Face Detection using AI

Starting with a labeled feature set is fundamental in AI facial recognition. In essence, you begin with images that already have hand-matched associations with the individuals in them. A first manual connection between an individual's face and the remainder of their identity is required. After that, it gets progressively simpler to recognize faces in the crowd when less clear photos are compared to that data set.

But how precisely can AI recognize faces? The distance between the eyes, cheekbone height, distance between the lips and the eyes, and other features are among the many data points that make up each person's face. Using those data points, AI facial recognition looks for differences. However, even the most advanced AI facial recognition systems today are susceptible to deception because they lack real-world context. We might be able to identify a coworker even if they are sporting a baseball cap, sunglasses, and a face mask. But an AI system might not. The neural network's training level determines this. While AI facial recognition systems appear to be more accurate on the surface, they are also more prone to errors in less-than-ideal situations.

AI in Public Safety

With its cutting-edge solutions that improve the efficacy of emergency responses and crime prevention tactics, AI is completely altering how public safety is planned and ensured. AI helps anticipate possible risks and optimizes resource allocation using machine learning, predictive analytics, and real-time data processing. By incorporating AI into public safety systems, agencies can enhance decision-making, speed up response times, and improve the precision of their operations. These developments hold the potential to improve community protection and pave the road for a safer and more resilient society.

Personalized Citizen Support

Chatbots with generative AI are now essential for providing efficient, tailored assistance and raising public satisfaction with government services. A self service chatbot developed for government processes gives citizens more influence. It promptly addresses common queries and problems, allowing government workers to focus on more complicated matters. This intuitive chatbot can respond quickly to issues and adjust to the needs of government agencies, guaranteeing effective and individualized assistance. By smoothly integrating into government platforms, like particular online sites or communication channels, this chatbot promotes a more citizen centric approach, which leads to happier citizens and more effective service delivery.