Ram Lalla's new and old idols on Monday formally consecrated inside the sanctum sanctorum of the newly-built Ayodhya Ram Mandir. Prime Minister Narendra Modi performed the Pran Pratishtha rituals inside the Garbha Griha of the Ram Lalla's temple. Along with PM Modi, RSS Chief Mohan Bhagwat, UP CM Yogi Adityanath and UP Governor Anandiben Patel were also present. Outside the temple, hundreds of VVIPs guests attended the event including Bollywood celebrities and many sportspersons. Apart from them, Sadhus and Saints were also present to witness the history in the making. After PM Modi's address, saints of India went inside the temple to seek blessings from Ram Lalla. Notably, it is estimated that Ayodhya will reportedly welcome at least 20 million devotees in the next six months, the Ram Temple security has also been made high-tech in order to stop any kind of untoward incident including surveillance through an AI software.
Yes! you heard it right. A Gurugram-based Artificial startup firm, Staqu Technologies, will reportedly deploy its AI-driven audio-video analytics software, Jarvis, to the existing cameras in Ayodhya. To those wondering what is Jarvis, it is a software designed to analyze video footage in real-time, identify suspicious activities and potential threats, and immediately alert the authorities. This is particularly crucial given the thousands of devotees expected to visit the city.
As per reports, Staqu Technologies has joined hands with the UP Police to utilize a database of over 800,000 criminals. This will enable Jarvis to identify any suspicious individuals or known criminals with an impressive accuracy of 99.7 percent. The software can even search for a person of interest in real-time using their photograph on live cameras.
Talking more about Ayodhya AI security surveillance, the company has reportedly stated that cameras equipped with advanced Automatic Number Plate Recognition (ANPR) capabilities can access the government's vehicle registration database, including the stolen vehicle database. This will allow the authorities to identify vehicles with fake number plates in real time. Moreover, it can identify individuals in a crowd based on specific attributes such as clothing, color, accessories, or accompanying children.