Xena-Vision

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We are a developing deep-tech startup on real-time emergency recognition. We produce SaaS solutions reducing life-threatening security risks for secure and sustainable smart cities. Our system is a scalable product that works with multiple cameras in different locations for several needs. It can estimate collisions, and risky human and car behaviors before they happened, detect them by AI and gives notifications on the dashboard without the need to monitor the cameras.

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Problem

Human-centered surveillance systems with lots of cameras are incapable of answering the question of what is happening now! Nowadays, people with their visual capabilities inspect videos manually, today’s monitoring systems are like black-box flight recorders, so; records are used when troubles happen. Instead of post-event detection, cameras can be used to the prevention of accidents, crimes, and other crimes.

Çözüm

Our solution is an AI-powered, real-time, Video Analytics System that automates safety and security and can work with any existing camera system for different needs such as crowd analytics, mobility, and human behavior analytics. AI computes any mobile object behavior such as cars and humans and it associates with unwanted situations such as traffic accidents, fights, the detection of offensive weapons, and so on. In the case an emergency occurs or, a potential emergency occurs, the system creates an alarm on its digital platform; otherwise, the system reports valuable insights.

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