Provides real-time emergency recognition technology that uses AI-powered analytics to detect and prevent life-threatening situations, such as mass shootings, overdoses, and extreme weather events, by leveraging existing surveillance cameras. The system reduces false alarms and enables immediate automated responses, improving public safety for law enforcement, security personnel, and emergency services in high-risk environments like airports, large venues, and urban areas.
Funding
$70K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Existing surveillance systems often lack the ability to proactively identify and respond to emerging threats in real-time. Relying on human observation alone can lead to delayed responses and missed critical events, especially in crowded or complex environments. This can result in increased risks to public safety in high-traffic areas.
Solution
Xena Vision provides an AI-powered video analytics platform that integrates with existing surveillance camera infrastructure to automatically detect and classify emergency situations. The system analyzes video feeds in real-time to identify potential threats such as mass shootings, overdoses, gang activity, and extreme weather events. By leveraging advanced machine learning algorithms, the platform minimizes false alarms and enables immediate, automated alerts to law enforcement, security personnel, and emergency services. This proactive approach facilitates rapid intervention and aims to prevent crime before it escalates, ultimately enhancing public safety in airports, large venues, and urban areas.
Target Audience
The primary target audience includes law enforcement agencies, security personnel, and emergency services operating in high-risk environments such as airports, large venues, and urban areas.
Features
- Real-time video analytics for automated threat detection and classification
- Integration with existing surveillance camera systems
- AI-powered algorithms to minimize false alarms and improve accuracy
- Immediate alerts to law enforcement, security personnel, and emergency services
- Customizable detection parameters for various threat scenarios
- Proactive identification of potential risks and emerging threats
- Support for a range of safety-critical events, including mass shootings, overdoses, and extreme weather