Ambient AI

2017
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Ambient.ai – Revolutionizing Security with AI-driven Computer Vision


Discover how Ambient.ai leverages AI and computer vision to enhance physical security systems, providing real-time proactive alerts and reducing false alarms for a variety of industries.

Semrush rank:809.6k
Location:Stanford, United States of America
Tech Used:
WordPress, Nginx, ZURB Foundation, PHP, GSAP,
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Features

  • Proactive Risk Alerts: Utilizes full scene video context to filter out 99% of noise, ensuring only real incidents prompt immediate alerts and dispatch.
  • Graph-Powered Forensics: Speeds up post-incident investigations by using visual attributes of objects to efficiently search across footage, reducing time spent on security reviews.
  • Mobile Dispatch: Enhances responder readiness by integrating video previews into dispatches, enabling faster and more informed reactions to incidents.

Use Cases:

  • Global Security Operations: Improves security outcomes for Global 2000 companies with near-human visual perception AI, reducing operational overhead and enhancing threat detection.
  • Education and Data Centers: Protects schools and data centers by detecting potential threats like unauthorized entries and perimeter breaches with real-time AI monitoring.
  • Cultural and Storage Facilities: Secures world-class museums and warehouses with advanced computer vision that adapts to an always changing risk landscape.

Ambient.ai stands at the forefront of security innovation, offering advanced AI-powered computer vision for proactive and efficient physical security management. Its commitment to privacy, by avoiding facial recognition, assures users of responsible use of technology, while its widespread recognition by industry leaders underscores its effectiveness and transformative impact.


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