Ayodhya is filled with intense religious enthusiasm in anticipation of the consecration of Ram Mandir on 22 January. The inauguration of the Ayodhya Ram Mandir is anticipated to draw many individuals, including saints and high-profile dignitaries.

The Uttar Pradesh government is making every effort to ensure the safety and protection of the temple town for the ritual. The city is currently equipped with anti-terrorism squad commandos and bulletproof vehicles. AI is being utilized to enhance security measures and guarantee the protection of VIPs, pilgrims, and tourists visiting the Ayodhya Ram Mandir.

AI-powered drones 

AI surveillance has been implemented in Ayodhya to address and monitor suspicious behaviours and apprehend wrongdoers. AI-powered drones are currently employed for aerial monitoring around the city, while AI-based drones specifically designed to detect mines or explosives are being utilized to scan underground areas.

AI-integrated cameras

In addition to drones, implementing AI-integrated cameras will contribute to maintaining security in the temple town. Staqu Technologies, an AI firm based in Gurgaon, has revealed its plan to offer real-time security surveillance in Ayodhya using its advanced AI-powered audio and video analytics platform, Jarvis. The software will employ facial and number plate recognition to monitor the event for potential threats and suspicious actions actively. It will promptly notify authorities of any such incidents in real time.

Reverse facial recognition

The AI technology is capable of doing reverse facial recognition. Assume that the police possess intelligence regarding an individual who may instigate disturbances. To utilize Jarvis, users need to provide an image of the individual, prompting the software to scour the camera's archives for any past video recordings.

Automatic Number Plate Recognition

The cameras are equipped with Automatic Number Plate Recognition (ANPR) capabilities. By utilizing the government's vehicle registration database, such as e-vahan Parivahan, authorities can detect vehicles that possess counterfeit license plates.

The technology also allows the surveillance cameras to conduct attribute-based searches, such as recognizing an individual from a group based on specific attire, colour or type of accessories, presence of a child, etc. Furthermore, it is not limited solely to humans. The software can identify a car based on its distinctive signature or marking.

Prashant Kumar, the Director General of Law and Order, announced initiating a pilot project utilizing artificial intelligence for enhanced security in Ayodhya. He stated that the AI-powered closed-circuit television (CCTV) monitoring system will assist in identifying regular visitors or any recurring patterns observed among a group of individuals when they visit the temple grounds and so on. The widespread availability of CCTV cameras facilitated the seamless integration of Jarvis for AI surveillance.

Mahakal Lok in Ujjain

Earlier, the authorities at the Mahakal Lok Corridor in Ujjain, Madhya Pradesh, have implemented face recognition technology (FRT) in conjunction with AI analytics to manage crowds. Sandeep Soni, the administrator of Mahakal temple and chief executive officer of Ujjain Development Authority, clarified the purpose of FRT (Facial Recognition Technology) by stating that upon entering the temple complex, a unique profile ID is created based on the individual's facial features and appearance. The facial recognition technology enables us to determine the number of individuals visiting the complex accurately and allows us to monitor their movements within Mahakal Lok. 

Facial Recognition Technology

The implementation of Facial Recognition Technology (FRT) has facilitated the temple management in establishing a separate entrance gate exclusively for the residents of Ujjain, ensuring their expedited admittance into the temple premises.

As per temple administration authorities, the Mahakaleshwar temple complex is one of the few in the country that receives a significant number of visitors, approximately 200,000 daily. AI and facial recognition technology help the temple manage crowds and assure security.

Tirumala Tirupati Devasthanams (TTD)

Earlier, Tirumala Tirupati Devasthanams (TTD), the organization responsible for managing the Tirupati temple in Andhra Pradesh, commenced the trial implementation of facial recognition technology. This technology was employed in booking accommodations and facilitating seamless admission for devotees to minimize inconvenience. Although the Kashi Vishwanath Dham corridor still needs to implement Facial Recognition Technology (FRT), it utilizes technology to obtain real-time statistics on the influx of individuals into the complex. 

Conclusion

An official informed the media that AI/ML has assisted in determining the optimal technological tower and frequency band to provide service to the people. The spectrum bands have been utilized to provide high upload speeds and downloads, as individuals are anticipated to submit videos from the location.

Furthermore, Measures are being implemented to safeguard telecommunications networks against cyber assaults. "Ensuring network security is of utmost importance, as the telecom infrastructure is susceptible to cyber attacks," the official emphasized.