Hikvision Unveils Guanlan Encoding, Revolutionizing Video Compression with AI Technology

Hikvision Unveils Guanlan Encoding: A Game-Changer in Video Compression



In a significant development for the video security industry, Hikvision has launched Guanlan Encoding, a cutting-edge technology integrating artificial intelligence into video compression. This innovation promises to dramatically reduce storage costs by 30% to 50% without sacrificing the quality of critical footage. As the demand for higher resolutions, larger channel counts, and extended retention periods grows, managing storage costs has become increasingly crucial for organizations monitoring extensive video systems.

The Technology Behind Guanlan Encoding



Built on the robust H.265 international standard, Guanlan Encoding leverages Hikvision's sophisticated Guanlan Large-Scale AI Model, transitioning AI capabilities from video analytics directly into the encoding process. This change aims to deliver storage efficiency that addresses the challenges posed by modern video surveillance requirements. Unlike conventional compression methods that apply equal treatment to all pixels, Guanlan Encoding intelligently prioritizes critical elements within a scene, ensuring that vital details—like people and vehicles—maintain full clarity while compressing less significant background info.

“Storage efficiency has almost always come at the cost of quality—until now,” said Jason Yang, Vice President of Hikvision’s International Business Center. Through advanced Region of Interest (ROI) segmentation, Guanlan Encoding focuses on what matters most in each video frame, enabling users to retain essential information without compromise.

Key Features and Benefits of Guanlan Encoding



1. Dynamic Sensing and Static Optimization


The technology combines two innovative modes. Dynamic Sensing automatically adjusts bitrate allocations in real-time, ensuring that intricate details are preserved even in fast-moving scenes. On the other hand, Static Optimization applies extreme compression techniques to still or low-motion footage, making it more efficient by reducing some frames to a mere fraction of their original size. This dual approach allows for a shift away from one-size-fits-all encoding solutions.

2. Impressive Storage Savings


Internal testing of Guanlan Encoding against the conventional H.265 standard revealed remarkable savings across various scenarios, including:
  • - Canteen (24 hours): Achieved a 49% reduction in storage requirements during daily traffic fluctuations.
  • - Office Park Entrance (30 minutes): Saved 42% during peak hours.
  • - Corporate Lobby (2 hours): Reported a 38% increase in storage efficiency.
  • - Busy Commercial Street (1 hour): Demonstrated an 18% savings in a highly complex scene.

3. Seamless Integration


A key advantage of Guanlan Encoding is its compatibility with existing H.265 decoders, making it easy to integrate into both new and existing surveillance systems. There are no changes required in encoding format, frame rate, or resolution, facilitating a smooth transition for users.

4. Broad Applicability


This technology is applicable across Hikvision’s extensive range of products, including the DeepinView(X)-Series Network and PTZ Cameras, Ultra-Series Cameras, and DVRs. Its versatility makes it suitable for various environments, spanning from large corporate campuses to retail settings and public venues.

The Future of Video Compression


By embedding AI directly into the encoding process, Guanlan Encoding indicates a transformative shift in how video data is handled—from merely compressing by pixels to compression driven by contextual meaning. This innovation marks a pivotal evolution towards a more intelligent approach in the video security field.

For those interested in exploring the capabilities of Guanlan Encoding further, detailed information is available on the Guanlan Encoding webpage, or potential users can contact their local Hikvision representatives to arrange a live demonstration of this groundbreaking technology.

Topics Consumer Technology)

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