Generative AI-Powered Video Monitoring for Public Safety and a Sustainable Environment
Surveillance
Powered by
Nota Vision Agent (NVA)
From Hard-to-Detect Objects to Complex Actions
—All Precisely Identified
Context-aware safety insights
Automatically generates analytical reports and enables natural language-based video search and Q&A for deeper operational visibility.
Detects exceptional risks—no training required
Powered by a Vision-Language Model, the system intelligently detects complex safety events often missed by traditional computer vision models—enabling real-time responses based on SOPs to unexpected or abnormal behaviors.
Fast deployment with scalable integration
No complex installation or training required—fully operational within 2–3 weeks.
Easily scalable and adaptable across diverse environments with
flexible multi-channel support.
Easily scalable and adaptable across diverse environments with
flexible multi-channel support.
Context-aware safety insights
Automatically generates analytical reports and enables natural language-based
video search and Q&A for deeper operational visibility.
video search and Q&A for deeper operational visibility.
Detects exceptional risks—no training required
Powered by a Vision-Language Model, the system intelligently detects complex safety events often missed by traditional computer vision models—enabling real-time responses
based on SOPs to unexpected or abnormal behaviors.
based on SOPs to unexpected or abnormal behaviors.
FAQ
Can it integrate with our existing CCTV
and video systems?
and video systems?
Yes, our surveillance solution is compatible with a wide range of CCTV equipment and video management systems.
It supports both edge-based and centralized setups, making it easy to integrate into your existing infrastructure.
It supports both edge-based and centralized setups, making it easy to integrate into your existing infrastructure.
How accurate is the detection?
The solution maintains high detection accuracy across dynamic environments, adapting to changes in lighting, angles, and real-world conditions.
How is it different from traditional video
monitoring systems?
monitoring systems?
Powered by a Vision-Language Model (VLM), the system understands not just objects,
but the full context of actions and situations—without any prior training.
but the full context of actions and situations—without any prior training.
What kinds of risks can it detect?
The solution detects a wide range of abnormal behaviors in real time, including falls, wandering, intrusion, and unauthorized access to restricted areas.
It also autonomously detects unusual or evolving risk patterns beyond predefined rules—enabled by generative AI.
It also autonomously detects unusual or evolving risk patterns beyond predefined rules—enabled by generative AI.
How long does deployment take?
Traditional computer vision (CV) models often require time-consuming data collection, labeling, and training—taking weeks or even months to deploy.
In contrast, Nota AI’s surveillance solution is powered by a pre-trained Vision-Language Model (VLM), enabling rapid deployment in just 2–3 weeks
without the need for additional training.
In contrast, Nota AI’s surveillance solution is powered by a pre-trained Vision-Language Model (VLM), enabling rapid deployment in just 2–3 weeks
without the need for additional training.