en.Wedoany.com Reported - SourceSecurity.com, in collaboration with Hikvision, has released a white paper exploring how large-scale AI-driven intelligent video encoding technology redefines storage efficiency and video usability. Currently, the security industry is facing a rapid expansion in video data storage demands. The industry-wide shift to high-definition and 4K+ resolution, increased channel counts, and extended storage retention periods, coupled with unstable hard drive prices, are continuously driving up enterprise storage budgets. Traditional encoding methods apply uniform compression to every pixel, treating static backgrounds and key targets equally. However, approximately 70% of video surveillance footage consists of static or low-value scenes, causing this approach to waste significant storage space on non-critical content.
New technologies such as Guanlan Encoding leverage large-scale visual AI models to achieve selective compression based on regions of interest (ROI). This method preserves high-definition details for key targets like pedestrians and vehicles while heavily compressing static backgrounds, aiming to reduce storage requirements without sacrificing critical information. Unlike traditional compression, which processes the entire scene uniformly and often blurs key targets, negatively impacting downstream AI analysis, Guanlan Encoding eliminates this trade-off.
Key advantages of this technology include significant storage savings, typically ranging from 30% to 50%. For example, in a project with 2,000 video channels (1080P @ 2Mbps) and a 90-day retention period, Guanlan Encoding can reduce the number of required hard drives from 403 to 202, a 50% reduction, thereby simultaneously lowering hardware, rack space, and power costs. In terms of bandwidth, by prioritizing critical content, intelligent video understanding can transmit high-definition quality video over standard-definition bandwidth, reducing bandwidth consumption during transmission and playback. Regarding deployment, analog cameras can be directly connected to Guanlan Encoding DVRs; new projects can benefit from AI front-end cameras, while retrofit projects achieve cost-effectiveness through back-end devices.
This article is compiled by Wedoany. All AI citations must indicate the source as "Wedoany". If there is any infringement or other issues, please notify us promptly, and we will modify or delete it accordingly. Email: news@wedoany.com
