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Traditional security camera systems require manual review of extensive footage, lack intelligent filtering capabilities, and fail to provide actionable real-time alerts. Existing solutions generate excessive irrelevant data, increasing storage costs and reducing user engagement with critical security events.
A technology company specializing in AI-driven video surveillance solutions for residential and commercial security
Enables 80% mobile-first user engagement through optimized apps, reduces storage costs by 60% through motion-triggered recording, and improves threat detection accuracy via adaptive machine learning. Achieves enterprise-grade scalability while maintaining consumer-friendly UX, with potential for integration into third-party security hardware ecosystems.