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 →Check the camera view, stream, network and response workflow before buying new equipment for a video analytics project on existing cameras in Georgia.
Read →WorkflowDesign a camera event workflow with a time marker, short context, responsible recipient and human review before connecting more cameras at a site.
Read →TestingMeasure the path from a visible camera event to a signal and human review on the actual camera, network and notification workflow before acceptance.
Read →InfrastructureCompare local and external processing through stream access, network, compute, storage and support ownership before selecting an architecture for the project.
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 →ArchitectureSet a visible boundary, time rule and reviewer before turning a camera region into an event workflow for a real operating space with clear ownership.
Read →TestingAssess lighting, focus, angle, movement and contrast before treating an existing camera view as usable evidence for a defined video event on site.
Read →InfrastructureCompare edge and server video analytics by tracing compute, network, timestamps, access and human review requirements for the actual existing cameras.
Read →WorkflowDesign a video event clip workflow with useful context, timestamps, reviewer records and retention conditions for the actual camera project.
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