aiVISION / NOTES
Short notes about the aiVISION workflow. These are not reports of live product results.
Define the event first, then check footage, stream and response.
Discuss your scenario →Design a camera event workflow with a time marker, short context, responsible recipient and human review before connecting more cameras at a site.
Read →WorkflowPlan after-hours activity monitoring with an existing camera, schedule exceptions and a reviewer, without inferring theft or intent from a short event context.
Read →WorkflowDesign a video event clip workflow with useful context, timestamps, reviewer records and retention conditions for the actual camera project.
Read →WorkflowDefine a forklift and pedestrian proximity event from an existing camera, then route its context to a human reviewer without claiming incident prevention.
Read →WorkflowBuild a human-reviewed manufacturing safety event from existing cameras by defining one zone, one visible condition and one acceptance record.
Read →WorkflowDefine one office or property entrance event with an existing camera, schedule, reviewer and response record, without claiming identity or intent from video.
Read →WorkflowWrite a restricted-zone entry rule for an existing camera, test the boundary and stream, and keep human review visible before adding more events.
Read →WorkflowConnect a visible retail queue condition to a team action with existing cameras, a time rule and human review, while keeping sales claims outside the evidence.
Read →WorkflowDesign human review into a video analytics event so a camera signal stays separate from identity, intent, incident and operational decisions.
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