海康威视观澜编码新技术：破解存储困局 释放视频核心价值

Core Insights - The article highlights the challenges in video storage within the security industry, noting that approximately 70% of surveillance footage consists of static or low-value images, leading to wasted storage resources and increased operational costs [2] - Hikvision has introduced a new encoding technology, "Guanlan," which aims to optimize storage efficiency without compromising video quality, addressing the industry's long-standing dilemma of balancing quality and storage efficiency [2][34] Technology Accumulation - Hikvision's exploration of video value has been driven by years of technological iteration and practical experience, beginning with the integration of deep learning algorithms into front-end devices in 2015, marking the start of the AI era in security [3] - In 2017, the company launched the AI Cloud three-tier architecture to address issues of computational power dispersion and lack of collaboration, providing strong support for AI implementation [4] - The introduction of the AI open platform in 2018 enabled clients with no algorithm background to develop industry-specific algorithms, fostering deeper integration of video perception technology and industrial applications [4] Technological Upgrades - Traditional encoding and compression technologies can achieve 30% to 70% storage optimization but have limitations, such as misidentifying non-critical dynamic objects and being less effective in complex scenes [6] - The new Guanlan encoding technology combines deep understanding capabilities from the Guanlan model with pixel-level segmentation, creating a comprehensive optimization system that achieves both storage and quality improvements [6] Efficiency Improvement - The Guanlan technology allows for precise analysis of high-value targets like people and vehicles, with accuracy rates significantly higher than traditional algorithms, supporting the simultaneous recognition of up to 64 targets [14] - By employing refined ROI protection segmentation, the technology separates foreground targets from background areas, ensuring detail preservation in the foreground while efficiently compressing the background, resulting in a bitrate savings of 20% to 90% [14] Cost Reduction - The Guanlan encoding technology is designed around "scene perception," creating a dynamic adaptive intelligent encoding system that optimizes resource allocation based on scene complexity [16] - For example, in a scenario with 2000 channels of 1080P at 2Mbps for 90 days, the Guanlan solution can reduce the number of hard drives needed by 60%, save 60% in data center space, and cut electricity costs by 50% over five years, significantly lowering project costs while maintaining effectiveness [26] Future Outlook - The Guanlan encoding technology has been integrated into both front-end and back-end products and is expected to be officially launched soon, promising to enhance the value derived from video data in various industries [35]