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25 Dec 2025·Source: The Indian Express
2 min
Polity & GovernanceScience & TechnologyPolity & GovernanceNEWS

Delhi to Deploy 10,000 AI-Enabled Cameras for Smart City Surveillance

Delhi's 'Safe City Project' will soon deploy 10,000 AI-enabled cameras for real-time distress detection.

Delhi to Deploy 10,000 AI-Enabled Cameras for Smart City Surveillance

Photo by Mahen Rin

Delhi is set to launch its 'Safe City Project' by 2026, deploying 10,000 Artificial Intelligence-enabled cameras across the city. These cameras will feature advanced capabilities like face recognition and distress detection, allowing the police control room (C4i Centre) to receive real-time alerts without manual calls.

The project, funded by the Centre under the Nirbhaya Fund with an estimated cost of ₹800 crore, integrates various databases including NCRB and VAHAN portal. This initiative aims to enhance public safety, particularly for women, and improve law enforcement's response time by leveraging cutting-edge surveillance technology.

Key Facts

1.

10,000 AI-enabled cameras

2.

'Safe City Project'

3.

Launch by 2026

4.

Funded by Nirbhaya Fund

5.

Estimated cost ₹800 crore

6.

C4i (Command, Control, Communication, Computing and Intelligence) Centre

UPSC Exam Angles

1.

Role of technology in governance and internal security

2.

Ethical implications of Artificial Intelligence (AI) and facial recognition technology (FRT)

3.

Right to Privacy (Article 21) and its interface with state surveillance

4.

Digital Personal Data Protection Act, 2023 (DPDP Act) and its application

5.

Centre-State financial relations and specific funds like Nirbhaya Fund

6.

Smart City Mission and urban infrastructure development

Visual Insights

Safe City Projects in India (Nirbhaya Fund)

This map highlights major Indian cities where 'Safe City Projects' are being implemented or are in focus under the Nirbhaya Fund, with Delhi's upcoming AI-enabled surveillance system as the primary news context.

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📍Delhi📍Mumbai📍Bengaluru📍Chennai📍Kolkata📍Lucknow📍Ahmedabad📍Hyderabad

Delhi's Safe City Project: Key Figures (2025)

A dashboard summarizing the critical quantitative aspects of Delhi's upcoming AI-enabled surveillance project.

AI-Enabled Cameras
10,000

Number of advanced cameras to be deployed across Delhi for real-time surveillance and distress detection.

Estimated Project Cost
₹800 Crore

Total estimated expenditure for the 'Safe City Project' in Delhi.

Funding Source
Nirbhaya Fund

The project is centrally funded under the Nirbhaya Fund, established for women's safety initiatives.

Project Launch Target
2026

The year by which the 'Safe City Project' is expected to be fully operational.

More Information

Background

The concept of 'Smart Cities' in India, launched in 2015, aims to promote cities that provide core infrastructure and give a decent quality of life to its citizens, a clean and sustainable environment, and application of 'Smart' solutions. Surveillance technology, particularly AI-enabled systems, has emerged as a key component of smart city initiatives globally, promising enhanced safety and efficient governance. However, this also brings to the forefront critical debates around privacy, data protection, and civil liberties.

Latest Developments

Delhi's 'Safe City Project' is a significant step towards integrating advanced AI-enabled surveillance into urban governance. The deployment of 10,000 cameras with features like face recognition and distress detection, linked to a central control room (C4i Centre) and integrated with national databases (NCRB, VAHAN), represents a substantial technological upgrade for law enforcement. The funding through the Nirbhaya Fund highlights a focus on women's safety and crime prevention.

Practice Questions (MCQs)

1. With reference to the 'Safe City Project' and related initiatives in India, consider the following statements: 1. The Nirbhaya Fund, which supports such projects, is administered by the Ministry of Women and Child Development. 2. The Digital Personal Data Protection Act, 2023, provides a legal framework for processing personal data by state instrumentalities, requiring a lawful basis for such processing. 3. The Supreme Court of India, in the K.S. Puttaswamy judgment, declared the Right to Privacy as an absolute fundamental right, thereby prohibiting all forms of state surveillance.

  • A.1 and 2 only
  • B.2 only
  • C.1 and 3 only
  • D.1, 2 and 3
Show Answer

Answer: B

Statement 1 is incorrect. The Nirbhaya Fund is administered by the Department of Economic Affairs, Ministry of Finance. While the Ministry of Women and Child Development is the nodal ministry for schemes under the fund, the fund itself is administered by Finance Ministry. Statement 2 is correct. The DPDP Act, 2023, establishes a comprehensive framework for the processing of digital personal data, including by government entities, mandating a 'lawful purpose' and 'legitimate use' principle. Statement 3 is incorrect. The K.S. Puttaswamy judgment (2017) declared the Right to Privacy as a fundamental right under Article 21, but it is not an absolute right. It is subject to reasonable restrictions based on legality, necessity, and proportionality, allowing for state surveillance under strict conditions.

2. In the context of AI-enabled surveillance systems like facial recognition technology (FRT) being deployed in public spaces, which of the following statements is/are correct? 1. FRT systems are prone to biases based on demographic factors, potentially leading to inaccurate identification of certain groups. 2. The integration of FRT with databases like NCRB and VAHAN portal can significantly enhance the efficiency of law enforcement operations. 3. International human rights bodies have consistently advocated for an outright ban on FRT in all public surveillance contexts due to privacy concerns.

  • A.1 only
  • B.2 only
  • C.1 and 2 only
  • D.1, 2 and 3
Show Answer

Answer: C

Statement 1 is correct. Studies have shown that FRT algorithms can exhibit biases, particularly in identifying individuals from certain racial, ethnic, or gender groups, leading to higher error rates and potential discrimination. Statement 2 is correct. Integrating FRT with comprehensive databases like NCRB (National Crime Records Bureau for crime and criminal data) and VAHAN (for vehicle registration data) can provide law enforcement with powerful tools for real-time identification, tracking, and investigation, thereby improving efficiency. Statement 3 is incorrect. While international human rights bodies and civil society groups have raised significant concerns about FRT's impact on privacy and human rights, and some have called for moratoria or bans in specific contexts (e.g., for mass surveillance), there isn't a consistent advocacy for an 'outright ban in all public surveillance contexts' globally. The debate is more nuanced, focusing on regulation, transparency, and proportionality.

3. Consider the following pairs: List I (Entity/Fund) List II (Primary Function/Purpose) 1. Nirbhaya Fund : Funding for schemes for safety and security of women 2. C4i Centre : Centralized command and control for police operations 3. VAHAN Portal : Database for crime and criminal records Which of the pairs given above is/are correctly matched?

  • A.1 and 2 only
  • B.2 and 3 only
  • C.1 only
  • D.1, 2 and 3
Show Answer

Answer: A

Pair 1 is correctly matched. The Nirbhaya Fund was established by the Government of India in 2013 to support initiatives aimed at enhancing the safety and security of women. Pair 2 is correctly matched. C4i Centre (Command, Control, Communications, Computers, and Intelligence) refers to a centralized facility for managing and coordinating police and emergency operations, as mentioned in the news for receiving real-time alerts. Pair 3 is incorrectly matched. The VAHAN portal is a national database for vehicle registration, driving licenses, and related services, managed by the Ministry of Road Transport and Highways. The database for crime and criminal records is primarily maintained by the National Crime Records Bureau (NCRB) through systems like the Crime and Criminal Tracking Network & Systems (CCTNS).

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