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Selecting the Right Camera Systems for AI-Powered Surveillance

ovsero • June 12, 2025

The effectiveness of AI-powered security monitoring depends significantly on the quality and configuration of the underlying camera systems. Even the most sophisticated algorithms cannot compensate for poor-quality video inputs or inappropriately positioned cameras. When designing surveillance systems optimized for AI analysis, organizations should consider several critical factors beyond traditional concerns like resolution. First, camera positioning must account for the specific detection requirements—weapon detection requires unobstructed views of entry points, while violence detection benefits from wider angles capturing interaction spaces. Second, lighting consistency dramatically impacts detection accuracy; advanced cameras with HDR (High Dynamic Range) capabilities help maintain detection performance across varying lighting conditions. Third, frame rate matters more than many realize; while 15fps may suffice for basic monitoring, violence detection algorithms perform significantly better with 30fps inputs that capture quick movements. In our testing at ovsero, upgrading from standard 2MP cameras to 4MP cameras with HDR and higher frame rates improved weapon detection accuracy by 23% and reduced false positives by 47%. Organizations should view camera systems not as commodities but as critical components of their security infrastructure that directly impact detection capabilities.

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