Hikvision's Guanlan AI Encoding Cuts H.265 Storage by 30-50% Without Quality Loss
Hikvision has introduced Guanlan Encoding, an AI-powered compression technology that integrates a Large Vision Model into the H.265 pipeline to reduce video storage requirements by 30% to 50%. The technology uses precision Region of Interest segmentation to preserve detail on crucial objects like people and vehicles while compressing static backgrounds.
Key Takeaways
- Guanlan Encoding leverages Hikvision's Guanlan Large-Scale AI Model within the H.265 encoding pipeline.
- The technology achieves average storage savings of 30% to 50% compared to conventional H.265 compression.
- Precision Region of Interest (ROI) segmentation differentiates dynamic subjects (people, vehicles) for high-definition preservation from static backgrounds for ultra-high-ratio compression.
- Guanlan Encoding is supported across Hikvision's DeepinView(X) cameras, ColorVu 3.0 cameras, and DVRs.
Why It Matters
This technology directly addresses escalating storage costs for high-definition video surveillance, a critical concern for large-scale deployments. By drastically reducing storage footprints, it lowers hardware, rack space, and power consumption, improving the total cost of ownership for video infrastructure. The H.265 compatibility ensures straightforward integration into existing systems, minimizing deployment friction for security integrators and enterprises. Operators will be watching for real-world deployment data under extreme conditions and the broader adoption impact on video management system (VMS) ecosystems.
Read full article at hikvision.com