Use of AI camera at Govind Dev Ji Temple in Jaipur

Use of AI camera at Govind Dev Ji Temple in Jaipur to catch criminals

Jaipur Police for the first time used Artificial Intelligence (AI) in Govind Dev ji temple to grab criminals, identified and detained 13 suspects.


In a groundbreaking move for Rajasthan, police are employing Artificial Intelligence (AI) technology to apprehend criminals, rendering it impossible for wrongdoers to conceal their identities, even in populated locations. The initiative involves deploying AI-equipped cameras throughout the city, which will be connected to a facial recognition application. The system’s first trial occurred at Jaipur’s Govind Devji Temple, resulting in the successful identification and confinement of 13 individual suspects.

How the AI based face recognition system works.

  • Wherever CCTV cameras are installed, it sends the entire live feed to the main server.
  • On receiving the feed, the system automatically matches the photos already uploaded to the server.
  • That means, Artificial Intelligence identifies if the person seen on camera is a criminal as per the records or not.
  • The monitor shows the results, including the age and gender of the miscreants.
  • If according to the records he is not a criminal, the signal shows in green shadow.

Complete Data of face, finger print, retina scan of miscreants

According to the Jaipur Police Commissioner, Biju George Joseph, “this app has been used for the first time in Rajasthan. Police first prepared the data of miscreants of Jaipur. The information about fingerprints, photos and retina of the miscreants has been uploaded in its own system. Complete records of all Jaipur police stations, from high-profile criminals to lesser-known offenders, have been documented. As a result Jaipur Police can now catch criminals effectively having access to their complete information.”

In the Govind Dev Ji temple premises, the trial was done by installing the cameras at 8 places in Govind Dev Ji temple, out of which 6 cameras were installed at the entry gate. With the use of the data and with the help of the face recognition app, the face of every visitor was scanned. Due to this, it became easy to identify potential threats and catch any miscreant. 

As per Kunwar Rashtradeep, Additional Police Commissioner of Law and Order, this system installed in Govind Dev Ji temple identified 13 miscreants. They were caught with the help of the police team and then taken to the police station and interrogated. The results obtained from the face recognition system are satisfactory. A report of this has been given to senior officers at the police headquarters. 

In the coming times, it will be used in law and order situations including demonstrations, rallies, darshan in temples. Currently, a demand for high-definition cameras has been made to DOIT in this regard. Due to better camera quality, this system will give accurate results.

Next phase focuses on vehicle identification

The Cyber ​​Cell of the Commissionerate is continuously working to refine the face recognition system. In the second phase it will be used for vehicles. The vehicles which run away after causing an accident and the police will have information about their number and model of vehicles, this will be used to catch such vehicles. By installing this system on toll and main roads, the details of those vehicles will be uploaded. As soon as the vehicle comes in the range of the camera, the police control room will automatically get its location and information.

This notable achievement for AI in Rajasthan came from solving the 2018 Alwar mob lynching case. Assistance from a Delhi company using facial recognition made the police understand that this technology could be effective in catching criminals.

Globally, this technology is used by police in many regions. Punjab Police uses a similar app named PAIS. UP Police has called it TRINETRA, while Bihar Police calls it Chakra. Many countries utilize it during elections. Telangana’s Election Commission used a face recognition app to identify the correct voter. This same technology is being used at many international airports like Delhi.

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