Umbo Computer Vision
Umbo Computer Vision develops AI-driven video security systems that accurately detect human and vehicle events in real-time. Their technology significantly reduces false alarms for enterprises, enhancing the reliability of security monitoring.
- Artificial Intelligence
- Data & Analytics
- Cybersecurity
- Enterprise Software
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Traditional video security systems often generate numerous false alarms due to environmental factors, animals, or irrelevant motion, leading to wasted resources and decreased operator vigilance. This unreliability makes it difficult for security personnel to identify genuine threats in real-time.
Solution
Umbo Computer Vision offers an AI-powered video security system designed to accurately detect human and vehicle events, significantly reducing false alarms. The system uses advanced deep learning algorithms to differentiate between genuine threats and non-threatening activity, providing reliable alerts. By filtering out irrelevant events, Umbo enhances the efficiency of security monitoring, allowing operators to focus on critical situations. The platform is designed for easy integration with existing security infrastructure, providing a seamless upgrade to intelligent video analytics.
Target Audience
The primary target audience includes enterprises, alarm monitoring centers, and system integrators seeking to improve the accuracy and efficiency of their video security operations.
Features
- Real-time human and vehicle detection using AI-driven video analytics
- Advanced deep learning algorithms to minimize false alarms from environmental factors
- Integration with existing security systems and camera infrastructure
- Cloud-based platform for centralized management and monitoring
- Customizable alert settings and event filtering