Nalgonda: Under the Jana Maithri programme, each police officer would adopt a village in the district to make it digital. An awareness programme would also be taken up by the district police on the safety measures to follow while making cashless transactions.
A training programme was conducted for the police officers in the district police headquarters on Tuesday to educate them over cashless transactions.
The district Superintendent of Police N Prakash Reddy said that three DSPs, nine Circle Inspectors and 35 Sub-Inspectors would adopt a village. The SP will also adopt a village to make it a model for other villages in adopting cashless transactions. The district police would also take up a survey in these villages to collect the details of those who have bank accounts and cell phone numbers linked with their bank accounts, debit cards and credit cards. After January 1, bank accounts would be opened to the required people to help them make cashless transactions, he said.
“There is chance for a spurt in cyber crimes in the light of cashless and online transactions. Hence, an awareness programme would be taken up to warn people not to disclose the PIN number of their debit card, credit card and internet banking to anybody and educate them on security measures while making cashless transactions”, the SP said.
Talking about the new technologies adopted by the district police to check the crimes effectively, Prakash Reddy said that a mobile app called Finger Prints Identification System (FINS), was installed in the mobile phones of all police officers that would facilitate them to verify whether suspicious persons have any criminal record. During the patrolling, the police officer can verify within 10 seconds through the app if the fingerprints of the person match with any criminal in Telangana and Andhra Pradesh.
He also disclosed that GPS system has been installed in 25 selected vehicles, which belong to district police headquarters and police stations situated from Choutuppal to Kethepally on National Highway 65. It would facilitate officials to locate the vehicles and help in knowing the time it will take for the police to reach the crime scene, he said.