Jaipur: Thugs who knock on temple doors to seek divine help for unholy businesses might learn the hard way that the cops mean business, too.
Jaipur police have started trial runs of an Artificial Intelligence (AI)-powered Facial Recognition System (FRS) to track down criminals visiting religious places after finding that such trips were a recurring pattern.
Additional commissioner of police (law and order) Kunwar Rasthradeep pointed out that it was common for criminals to seek a date with their favourite deities before and after committing illegal acts.
Another trend was familiar — of gangs sneaking into crowded religious events and fairs to carry out petty crimes such as pickpocketing and chain thefts. The facial-recognition system will help in such cases, too.
“We experimented with the technology during Janmashtami celebrations (September 6) at the Govind Dev Ji temple. We began with a limited data of about 3,000 individuals, and the software successfully identified 13 suspects with prior records,” Rasthradeep said.
FRS software captures an image or video frame and compares it against a database for identification or verification.
Jaipur police are rolling up their sleeves to start the second phase of the test runs by putting all available data on criminals into the software ahead of next week’s Ganesh Chaturthi, with the famous Moti Dungari Ganesh temple picked as a possible location.
“We have a substantial database on gangs that target religious events and festivals for thefts. This technology can be utilised to monitor and control such gangs,” Rasthradeep said.
At this stage, Jaipur police were focusing on those booked in chain snatchings, pickpocketing, and burglaries, as well as wanted absconders.
“The trials of this software met our expectations. We are exploring other avenues to use this technology for crime prevention and apprehending criminals on the run,” Rasthradeep said.
According to the additional commissioner, similar methods could be employed on a larger scale later to track down wanted criminals and fugitives at major transit hubs, including railway stations and bus terminals.
We also published the following articles recently
Jaipur police have started trial runs of an Artificial Intelligence (AI)-powered Facial Recognition System (FRS) to track down criminals visiting religious places after finding that such trips were a recurring pattern.
Additional commissioner of police (law and order) Kunwar Rasthradeep pointed out that it was common for criminals to seek a date with their favourite deities before and after committing illegal acts.
Another trend was familiar — of gangs sneaking into crowded religious events and fairs to carry out petty crimes such as pickpocketing and chain thefts. The facial-recognition system will help in such cases, too.
“We experimented with the technology during Janmashtami celebrations (September 6) at the Govind Dev Ji temple. We began with a limited data of about 3,000 individuals, and the software successfully identified 13 suspects with prior records,” Rasthradeep said.
FRS software captures an image or video frame and compares it against a database for identification or verification.
Jaipur police are rolling up their sleeves to start the second phase of the test runs by putting all available data on criminals into the software ahead of next week’s Ganesh Chaturthi, with the famous Moti Dungari Ganesh temple picked as a possible location.
“We have a substantial database on gangs that target religious events and festivals for thefts. This technology can be utilised to monitor and control such gangs,” Rasthradeep said.
At this stage, Jaipur police were focusing on those booked in chain snatchings, pickpocketing, and burglaries, as well as wanted absconders.
“The trials of this software met our expectations. We are exploring other avenues to use this technology for crime prevention and apprehending criminals on the run,” Rasthradeep said.
According to the additional commissioner, similar methods could be employed on a larger scale later to track down wanted criminals and fugitives at major transit hubs, including railway stations and bus terminals.
We also published the following articles recently
Nashik police extern two criminals
Two criminals in Nashik have been externed for one year as part of the police’s efforts to crack down on habitual offenders. The individuals, identified as Nikhil Pawar and Salman Pathan, were involved in assaulting innocent people and extorting money in specific areas of Nashik. The police took action to protect the locals from their activities.
Two criminals in Nashik have been externed for one year as part of the police’s efforts to crack down on habitual offenders. The individuals, identified as Nikhil Pawar and Salman Pathan, were involved in assaulting innocent people and extorting money in specific areas of Nashik. The police took action to protect the locals from their activities.
40% sitting MPs have criminal cases, 25% serious criminal cases: ADR
According to a report by poll rights body ADR, 40% of sitting MPs in India have criminal cases registered against them, with 25% having serious criminal cases including murder, attempt to murder, kidnapping, and crimes against women. The report also reveals that the average worth of assets per MP is Rs 38.33 crores, with 7% of them being billionaires. Among the states, Telangana has the highest average assets per MP, while Lakshadweep has the lowest. The report also provides data on the average assets per MP for major political parties.
According to a report by poll rights body ADR, 40% of sitting MPs in India have criminal cases registered against them, with 25% having serious criminal cases including murder, attempt to murder, kidnapping, and crimes against women. The report also reveals that the average worth of assets per MP is Rs 38.33 crores, with 7% of them being billionaires. Among the states, Telangana has the highest average assets per MP, while Lakshadweep has the lowest. The report also provides data on the average assets per MP for major political parties.
