Coimbatore: Instead of patrolling the city conventionally, the police have identified around 50 regions prone to crime throughout the city and patrolling the day and night to prevent crime from happening.
The system, in the city for the past 10 days, is based on the “principle of curve cooperatives”, developed by Christopher S Koper, a partner professor at George Mason University of Virginia in the US and a senior colleague at the university of evidence-based crime policy.
This principle works based on most crimes carried out in certain areas in certain jurisdictions.
The suitcase study shows that 50% crime occurs in less than 5% of blocks or roads.
By focusing on this hotspot, research suitcase is found, the crime rate can be substantially reduced.
Stationing officers in one place or make them patrol throughout the city expensive and ineffective.
Instead, the principle recommends proactive, random and intermittent patrols from hotspots for 10-16 minutes every two hours.
Research suitcases show that the possibility of criminal activities within 30 minutes of drive-by patrols is 15%.
When random police stopped 10-16 minutes, it was possible that criminal activities fell to 4%.
“We have identified around 50 crime-prone areas in 15 boundaries of police stations.
The police deployed for the night patrol will conduct vehicle checks randomly and they will not be placed in one place.
They will question people who look suspicious roam around the city during the city late at night, “said Police Commissioner Pradip Kumar.
Because the system has been introduced, police visibility on the streets has increased.
Police officers and the public provide positive feedback about the system, he said.
“Every day more than 250 police are deployed to round the night and most of them use facial recognition software on their cellphones.
This software is connected to the CCTNS network (Crime and Criminal Tracking Network and Systems).
Police click on pictures of people who look suspicious And check it with a CCTNS network to identify kebigut, “Pradip Kumar said.
Until now, 650 police have installed facial recognition software on their cellphones and every average of 200-250 images a day to check it with a database.