Use case blueprint
Capture bounded windows from continuous sources without treating the whole stream as an endless GPU job.
Live video becomes expensive when every minute is treated as equally important. A safer beta workflow samples bounded windows, records event and refresh metadata, and materializes evidence only for the windows the product needs to inspect.
| Stage | Implementation detail |
|---|---|
| Define capture window | Choose the stream URL, sample window, max execution seconds, and tenant budget. |
| Queue bounded job | Run one controlled processing job instead of an unbounded stream reader. |
| Write timeline | Persist timeline events, semantic refresh points, and detector confidence for later review. |
| Inspect evidence | Show the operator evidence spans and uncertainty before any automation path. |
| Scale carefully | Increase stream coverage only after latency, cost, missed events, and false positives are measured. |
Open artifacts before increasing limits. A strong evaluation compares artifact state with the original footage and records misses, ambiguity, confidence, and cost.
The goal is not a generic demo; the goal is deciding whether this workflow should become a paid pilot, remain a small beta test, or require escalation.