AI-driven surveillance platform enabling real-time threat detection and centralized security management

This client operates in the enterprise security and surveillance domain, focusing on AI-driven physical security solutions. They manage multi-site environments requiring centralized monitoring and real-time threat detection. The platform supports automated alerts and intelligent analytics to enhance security operations. It is designed for organizations seeking scalable, proactive, and data-driven security management.

The client faced challenges in managing security across multiple sites with limited centralized visibility and manual monitoring processes. Traditional surveillance systems generated high volumes of footage but lacked intelligent, real-time threat detection. Delayed alerts reduced the ability to respond quickly to intrusions or anomalous events. Scaling security operations while onboarding new sites and users added operational complexity. These limitations made it difficult to maintain consistent, proactive security across the enterprise.

The platform was designed with a scalable multi-tenant architecture to manage multiple organizations and sites, supported by robust role-based access control. An AI detection engine was implemented using prebuilt ML templates for common scenarios, along with support for custom models tailored to specific use cases. Real-time event monitoring was enabled through an intuitive timeline interface with powerful search and filtering capabilities for audits and rapid reviews. A workflow-driven notification system delivered dynamic, multi-channel alerts using configurable templates enriched with visual context and metadata. Comprehensive dashboards provided real-time insights into event trends, system health, camera uptime, and AI model performance.