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The MiBeeNvr author has written an article explaining the storage design of MiBeeNvr adaptive recording. According to the article, the mechanism determines scene activity by analyzing P-frame sizes, without decoding or running AI models; measured disk usage in static scenes dropped by roughly 75%–98%. When activity is detected, it first uses a 32MB GOP pre-buffer to backfill the frames before the spike, then switches back to full frame rate, achieving zero dropped frames during the switch; for cameras whose bitrate has been flattened, it falls back to pixgate pixel-domain gating and layered recording. Currently, this design is described by the author in an article published by AI on the Alibaba Cloud Developer Community, and there are no other independent sources or subsequent development updates.
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MiBeeNvr Author Explains the Storage Design of Adaptive RecordingDevelopments
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MiBeeNvr author writes to explain the adaptive recording storage design
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Oct 18
Alibaba Cloud Developer Community AI
MiBeeNvr Author Explains the Storage Design of Adaptive Recording
The MiBeeNvr author explains the adaptive recording mechanism: it determines scene activity by measuring P-frame sizes, without decoding or running AI models, and measured disk usage in static scenes drops by about 75%–98%. When activity is detected, it first uses a 32MB GOP pre-buffer to backfill the frames before the spike and then switches back to full frame rate, achieving zero frame loss during switching; for cameras whose bitrate has been flattened, it falls back to pixgate pixel-domain gating and tiered recording.