We utilize AI, digital twins, and IoT to identify threats before they escalate, integrating live sensor data, crowd analytics, and automation to enhance security decision-making.
At AI-Powered Digital Twin for Event Security, we revolutionize event security through AI-driven insights. Our platform integrates 3D Digital Twin technology, Computer Vision, and IoT to provide predictive threat detection, crowd analytics, and automated incident response. Our mission is to enhance security operations by transitioning them from static and reactive to proactive and adaptive.
Founders: AI-Powered Digital Twin for Event Security is led by Mohammed Naveed Ahmed and Omer Khan, experts in AI integration, project management, and security operations. With backgrounds in International Project Management and Mechanical Engineering, they bring strategic innovation to the field, aiming to transform event security through technology-driven solutions.
Traditional event security struggles with delayed responses and limited visibility.
Security teams often rely on outdated surveillance methods, reactive decision-making, and inefficient resource allocation. These limitations lead to slow response times, unmanaged crowd risks, and potential safety threats at large events.
Reactive security puts thousands at risk.
Conventional event security depends on manual monitoring, which results in delays and missed threats. Overcrowding, unauthorized access, and slow incident response can lead to dangerous situations, making proactive security solutions a necessity.
AI-driven insights for real-time threat prevention.
Our platform leverages AI, digital twins, and IoT to detect threats before they escalate. By integrating live sensor data, crowd analytics, and automated response systems, we empower security teams with proactive decision-making tools.
Key Features:
Real-time intelligence for seamless event operations.
With AI-Powered Digital Twin, security teams can:
We utilize AI, digital twins, and IoT to identify threats before they escalate, integrating live sensor data, crowd analytics, and automation to enhance security decision-making.
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