Edge Runners 3.2

Start

Kilimanjaro

jayenths

AstroBoy73

Saisathish Karthikeyan

muthu

Dinesh_a

In today's world, security is a top priority for both individuals and organizations. Our project presents a smart surveillance solution that leverages the capabilities of artificial intelligence and the Llama 3.2 90B Vision model to revolutionize video monitoring. With a staggering market size of $54.42 billion and a CAGR of 8.5%, the demand for advanced surveillance systems is higher than ever.

Our system monitors live video feeds in real time, utilizing cutting-edge AI algorithms to detect unusual activities and enhance security measures. We employ the Llama 3.2 90B Vision model through our AI/ML API, allowing us to analyze and interpret video data with remarkable precision. This integration empowers the system to effectively identify key activities, including unusual behavior, crowd density, vehicle movement, and animal presence.

To make CCTV footage queryable, we utilize the Llama 3.2 3B Chat model, enabling users to search and retrieve relevant data based on specific queries. For example, users can simply ask, “Show me all detected unusual activities in the last hour,” streamlining their ability to respond to potential threats. This intuitive queryable interface not only enhances user experience but also ensures that critical information is readily accessible.

Furthermore, the integration of generative AI capabilities allows our solution to learn and adapt over time, improving its accuracy and efficiency in identifying anomalies. By providing real-time notifications and an intuitive user interface, our smart surveillance solution ensures peace of mind for users, enabling them to focus on what matters most while we handle their security needs.

Together, we aim to redefine the standards of safety and surveillance in a rapidly evolving landscape, making our solution an indispensable tool for modern security management.

A smart surveillance solution that utilizes AI and the Llama Vision model to monitor live video feeds, detect unusual activities, and provide a queryable interface for real-time notifications, ensuring enhanced security and peace of mind.

"Kilimanjaro team on Edge Runners 3.2 Hackathon"

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