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]

Core Insights - The article highlights the challenges of video storage in 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 [1] - Hikvision has introduced a new encoding technology, "Guanlan Encoding," which aims to optimize storage efficiency without compromising video quality, addressing the industry's long-standing dilemma of balancing quality and storage efficiency [1][3] Technology Accumulation - Hikvision's advancements in video value extraction stem from years of technological iteration and practical experience, including the integration of deep learning algorithms in 2015 and the launch of an AI Cloud architecture in 2017 [2] - The company has developed a three-tier system for video understanding algorithms, focusing on enhancing video semantic understanding and expanding target recognition capabilities [2] Technology Upgrade - Traditional encoding methods can achieve 30% to 70% storage optimization but are limited by their reliance on object motion detection, which can misidentify non-critical movements [3] - The new Guanlan Encoding technology combines deep understanding capabilities with pixel-level segmentation to create a comprehensive optimization system that enhances both storage and video quality [3] Efficiency Improvement - The Guanlan technology allows for precise identification of high-value targets, achieving a recognition accuracy significantly higher than traditional algorithms, with the ability to support up to 64 targets simultaneously [12] - By employing refined ROI segmentation, the technology separates foreground from background, ensuring high-quality encoding for important details while optimizing storage for less critical areas, resulting in a bitrate reduction of 20% to 90% [12] Scene Adaptation - The Guanlan Encoding technology features a dynamic adaptation system that adjusts encoding based on scene complexity, ensuring optimal resource allocation for both dynamic and static scenes [14][15] - For example, in a park entrance scenario, the system can maintain high detail during peak hours while significantly reducing storage needs during off-peak times [15] Cost Savings - Using the Guanlan intelligent encoding solution for 2000 channels of 1080P video over 90 days can lead to a 60% reduction in hard drive requirements, 60% less space needed in server rooms, and a 50% decrease in electricity costs over five years, effectively lowering project costs while maintaining efficiency [22] Industry Evolution - Hikvision's commitment to enhancing video value has driven the security industry from passive recording to proactive intelligence, transforming video data from redundant to precise and efficient [29] - The Guanlan Encoding technology is set to be integrated into both front-end and back-end products, with a product launch anticipated soon [29]