A Crisis in Numbers
The scale of India's missing persons problem is immense. According to the National Crime Records Bureau (NCRB), hundreds of thousands of people are reported missing each year, with a significant number remaining untraced. In 2023, for instance, nearly
8.7 lakh people were listed as missing, including cases carried over from previous years, with a recovery rate of just over 50%. Women and children are disproportionately affected, often becoming victims of human trafficking, forced labour, or other forms of exploitation. The sheer volume of cases overwhelms traditional policing methods, creating a growing backlog and leaving countless families in a state of perpetual uncertainty.
Obstacles in the Search
The journey to find a missing person is fraught with challenges. For many families, especially those from poorer backgrounds, the process begins with the difficult step of getting a report filed, which can involve police reluctance and administrative delays. A major hurdle is the lack of seamless coordination between police forces across different states. Information often remains siloed within jurisdictions, making it difficult to track individuals who may have been moved across state lines. This fragmented approach means that crucial leads can go cold simply because data isn't shared effectively, a problem the Supreme Court has highlighted while pushing for better national coordination. These systemic gaps underscore why conventional methods alone are no longer sufficient.
The Digital Tools in Use
India has not been idle in deploying technology. The government runs portals like TrackChild, a national tracking system designed to collate data on missing and found children. This, combined with broader law enforcement databases like the Crime and Criminal Tracking Network & Systems (CCTNS), forms the backbone of the current digital effort. These systems aim to create a centralised repository of information that can be accessed by police nationwide. However, their effectiveness is often hampered by incomplete data entry and a lack of awareness among all levels of law enforcement. While these tools are a step in the right direction, they are often not fast or sophisticated enough to handle the deluge of new cases.
The Next Wave of Technology
This is where a new generation of faster, smarter tools comes in. Police forces are increasingly looking to Artificial Intelligence (AI) and facial recognition to accelerate the search process. AI can analyse thousands of hours of CCTV footage in minutes, a task impossible for human investigators. A trial by the Delhi Police in 2018 demonstrated the power of this technology, identifying nearly 3,000 missing children in just four days by matching their faces against a database of children in care homes. Inspired by such successes, the government has been working to establish a National Automated Facial Recognition System (NAFRS) to create a searchable, nationwide platform of facial images. Other tools, like AI-powered age-progression software that helps match old photos with current appearances, are also being deployed at a local level.
Technology Isn't a Silver Bullet
Despite its immense potential, technology is not a cure-all. The push for a national facial recognition system has raised significant privacy concerns among digital rights advocates, who worry about the potential for mass surveillance without a robust data protection law in place. There are also questions about the accuracy of these systems, which can produce false positives and potentially lead to wrongful accusations. Furthermore, the success of any high-tech tool depends on on-the-ground realities. This includes comprehensive CCTV coverage, reliable data input from police stations, and ensuring that officers are properly trained to use these systems. The digital divide means that areas with poor infrastructure may be left behind, creating blind spots in the national search effort.
