Overview / Usage

• Camera Provisioning: Tag and calibrate cameras for installation locations, calibration parameters and other usage pattern information.
• Camera Discovery: Discover and register IP cameras on specified IP blocks. Registered cameras automatically participate into the analytics activities. See Sensor Simulation and Discovery for additional details.
• Recording: Record and manage segmented camera footage for preview or review (at a later time) purpose.
• Analytics: Perform analytics on the live/recorded camera streams. Latency-sensitive analytics are performed on Edge while others are on cloud.
• Triggers and Alerts: Manage triggers on analytics data. Respond with actions on triggered alerts.
• Smart Upload and Archive: Transcode and upload only critical data to cloud for archival or further offline analysis.
• Stats: Calculate statistics for planning/monitoring purpose on analytical data.
• UI: Present above data to users/administrators/city planners.

Methodology / Approach

The sample implements the Smart-City traffic and stadium scenarios. The traffic scenario measures vehicle/pedestrian flow for planning purpose. The stadium scenario focuses on different access control techniques, including entrance people counting, service-point queue counting, and stadium seating zone crowd counting.