The shift toward intelligent video encoding marks a departure from one-size-fits-all compression. Hikvision’s Guanlan Encoding utilizes large-scale visual AI models to perform selective compression based on regions of interest. By identifying and preserving high-definition details for dynamic subjects like people and vehicles while applying aggressive compression to static environments, this method optimizes hardware resources without compromising critical data.

A new white paper, produced in collaboration with SourceSecurity.com, highlights the operational impact of this technology. For a standard 2,000-channel project requiring 90-day retention, the shift to Guanlan Encoding can reduce hard drive requirements by 50%. Beyond hardware savings, the approach preserves image clarity for downstream AI analytics, addressing the degradation often seen in conventional systems. Furthermore, the technology enables the transmission of high-definition quality over standard-definition bandwidth, ensuring remote accessibility on constrained networks. Deployment remains flexible, as the encoding works with both existing analog infrastructure and new AI-enabled front-end cameras.