Next-gen security: Govt taps AI for real-time monitoring

Integrated system to monitor govt facilities, prevent risks and manage crowds; Info-Tech Corporation floats tender

THE GOAN NETWORK | 4 hours ago
Next-gen security: Govt taps AI for real-time monitoring

PANAJI 
In a move to strengthen surveillance and safety mechanisms, the State government is set to introduce an integrated, AI-enabled CCTV-based tracking and monitoring system capable of supporting live camera feeds along with intelligent features such as face detection and recognition, footfall and crowd analysis, smoke and fire detection, and object tracking across government departments and autonomous bodies.

The Info-Tech Corporation (ITG) has floated a tender for an integrated CCTV-based tracking and monitoring software system aimed at strengthening real-time surveillance, analytics, reporting and automated alerts across all government departments, autonomous bodies and public institutions.

As per the tender document, the proposed system will provide a secure, centralised, web-based platform for comprehensive monitoring of CCTV infrastructure installed at government offices and facilities spread across the State.

The integrated solution will support live camera feeds along with intelligent features such as face detection and recognition, footfall and crowd analysis, smoke and fire detection, and object tracking. Authorised users will be able to access dashboards and detailed reports for effective supervision and monitoring of assets and activities.

Officials said the initiative is intended to enhance situational awareness, improve public safety, and enable data-driven decision-making through advanced video analytics.

As part of the project, the selected bidder will supply a face detection and recognition solution capable of processing both live video streams and recorded CCTV footage. The system will allow enrolment of facial data with associated details such as name, mobile number, Aadhaar number, address and other attributes defined by the concerned departments.

The system will also include a footfall and crowd monitoring module to count and analyse human movement using CCTV feeds. Camera-wise configurations will allow authorities to define regions of interest to classify movements as entry or exit, helping in crowd management and facility planning.

In addition, a video-based smoke and fire detection solution will be deployed to identify incidents within minimal response time. Real-time alerts and notifications will be generated to enable swift action by authorised personnel.

Officials noted that continuous monitoring and evaluation of CCTV infrastructure is critical to ensure the long-term sustainability and effectiveness of surveillance projects.

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