Hikvision's AI Video Encoding Gains Traction as Storage Costs Rise
Event summary
- Hikvision launched Guanlan Encoding, an AI-based video encoding technology that reduces storage needs by 30-50% by prioritizing key areas in video frames.
- A survey of asmag.com readers found 38.2% identify video storage cost as a 'major challenge', with 43.2% saying the challenge has 'increased moderately' over the past year.
- 51.6% of survey respondents are familiar with Guanlan Encoding, with 8.3% already using the technology.
- Guanlan Encoding integrates Hikvision's Guanlan Large-Scale AI Model with the H.265 standard to dynamically allocate compression rates within frames.
The big picture
Hikvision's Guanlan Encoding addresses a critical pain point in video surveillance as storage demands escalate with higher resolution and more frequent recording. The technology represents a strategic shift from traditional uniform compression to AI-driven selective encoding, potentially setting a new standard for data efficiency in security applications. The survey results suggest strong market validation for this approach, positioning Hikvision to capitalize on the growing need for cost-effective storage solutions.
What we're watching
- Adoption Pace
- How quickly Guanlan Encoding will be adopted beyond early users, given its recent introduction and the immediate recognition among survey respondents.
- Competitive Response
- Whether competitors will accelerate development of similar AI-based encoding solutions to challenge Hikvision's position.
- Storage Cost Impact
- The extent to which Guanlan Encoding can alleviate growing storage pressures in video security applications.