AI Is Reshaping Surveillance
The global video surveillance market is projected to reach $82 billion by 2028, with AI-powered analytics driving the fastest growth segment. In India, smart city projects and private sector adoption are accelerating the deployment of AI-enabled cameras that do more than just record — they analyze, alert, and predict.
Key AI Applications in Security
Artificial intelligence brings several game-changing capabilities to security surveillance:
- Facial Recognition: Pre-screening known persons against watchlists at entry points, reducing manual verification time by up to 60%.
- Anomaly Detection: AI models trained on normal site activity can flag unusual behavior in real time — a person Loitering in a restricted zone, an unattended bag, or a vehicle taking an unexpected route.
- License Plate Recognition (LPR): Automated entry and exit logging for vehicles, with instant alerts for blacklisted plates.
- Crowd Counting: Monitoring occupancy levels to prevent overcrowding in malls, railway stations, and event venues.
The Human + AI Balance
Despite these advances, AI is a force multiplier, not a replacement. A security operations centre (SOC) still requires trained personnel to interpret alerts, exercise judgment, and coordinate physical response. The future belongs to integrated teams where AI handles the monitoring load and humans handle the decisions. Silbar Security is investing in AI-assisted remote monitoring for clients who want smart surveillance without replacing their security team.