The Modi government is initiating measures to reduce the burden of pending cases in the Indian court system. The Ministry of Home Affairs is coordinating with the Supreme Court and High Courts to devise a strategy in this regard.
In India, there are more than five crore pending cases in different courts. At the 26th All India Fingerprint Conference, Home Minister Amit Shah declared that it is their aim to achieve justice from the FIR to sentencing within three years.
In order to reduce the workload of the court, Mr. Shah announced that the government was planning to establish evening courts as well as devising a new mechanism for disposal of pending criminal cases in the High Courts and Supreme Court. He stated that delaying of justice will not be tolerated by the government.
Speaking virtually to Directors General of Police from all states, Shah stressed the need to prepare charge sheets based on scientific grounds and to extend full cooperation to the courts.
Shah noted that the implementation of three new criminal laws has accelerated the delivery of verdicts, with criminals receiving sentences-including life imprisonment-within 90 days in several instances.
Amit Shah asserted that no matter how cunning a criminal may be, they cannot escape the combined power of law and science. By compiling databases-ranging from fingerprints to other records-and utilizing state-of-the-art technology, the country is moving beyond traditional force-based policing models; scientific evidence-based investigation is emerging as the most effective tool for crime control.
The Union Minister said that they were developing a new framework using AI, machine learning and pattern analysis to curb repeat offenders and intercept interstate criminal networks before they commit crimes, in the context of Shah praising the roles of the National Crime Records Bureau (NCRB) and the Bureau of Police Research and Development. He said that these bodies are moving from mere record-keeping agencies to institutions that focus on intelligence-driven crime prevention. “This is creating a policing framework which focuses on proactive crime prevention rather than the traditional reactive approach of taking action after a crime has taken place,” he added.
Highlighting the changing landscape of policing in the country, Shah stated that work has begun to transform 12.9 million criminal fingerprint records, data on 900,000 narcotics offenders, and 365,000 human trafficking records into actionable intelligence using AI and machine learning.
Additionally, all 17,840 police stations across the country have been integrated with the CCTNS, and AI-based analysis is being conducted on 378.6 million online records-a move set to become a crucial tool for apprehending criminals.
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