🔗 Linked Evidence
Project CozZie Glow 10
📄 HOLAND_CLAIM_FILE_p195 to 220 | p.205
📄 HOLAND_CLAIM_FILE_p195 to 220 | p.205
📝 Extracted Text (OCR)
That is how the sleep study pipeline was born. Not by design. By necessity. A problem that had a slow but simple solution. It was meant to be a wake up call. That is exactly what it was. The footage had to be uploaded. It was too shocking to ignore. 127 clips. All of them legitimate. All of them a revelation. It is strange, watching yourself sleep, and feeling bad for the person on the screen. The file had a face. Video Retrieval and Processing Pipeline Each morning: USB stick into the NVR, download the previous night's footage, USB stick into Marco Pollo — the Lenovo IdeaPad running Windows 11. The processing pipeline runs as a batch file: 1. Timelapse — ffmpeg compresses the raw AVI footage to 0.05x speed. Eight hours becomes approximately 24 minutes. 2. Label — drawtext filter burns the subject name and date/timestamp directly onto the footage. 3. Stitch — multiple clips from the same night are concatenated into a single file using the concat demuxer. 4. Upload — finished MP4 uploaded to YouTube as unlisted. Link logged. GPU acceleration via AMD AMF reduces processing time significantly on the Ryzen 5 processor. The result is a complete nightly record — every movement, every event, every anomaly — compressed into a reviewable timelapse with forensic timestamps that cannot be altered after the fact. The NVR retains the raw footage as the unedited source of truth. The timelapse is the working document.