reset_count : Remotely clear sensor counts for session-based tracking.
Data regarding people entering or exiting designated areas.
Xovis APIs primarily use RESTful design patterns, returning data in or XML formats. Below are the most critical endpoints used in standard integrations. A. Device Status and System Health
The Xovis API ecosystem provides system integrators and developers with the tools to bridge the gap between high-precision 3D sensing hardware and actionable business intelligence. By utilizing these APIs, businesses can extract real-time people-flow data, including live occupancy, queue metrics, and demographic insights, to power customized analytics platforms. API Architecture and Methods xovis api documentation
What are you trying to track? (Occupancy, live line counting, or dwell time)
Number of people currently in a defined area (e.g., a queue).
The Xovis ecosystem operates on an edge-computing model. The 3D sensors process video streams locally on the device to count people, calculate dwell times, and map journeys. No video streams leave the sensor, ensuring strict compliance with global privacy regulations like GDPR. reset_count : Remotely clear sensor counts for session-based
OK 5.3.2 86400 VALID Use code with caution. Line Crossing Telemetry GET /count_data
is available for public reference, covering basic authentication and endpoint structures. atlassian.net API Features
Extracts absolute values for cumulative entry and exit tracking lines drawn within the sensor's Field of View (FoV). Sample Payload (JSON format): Below are the most critical endpoints used in
Understanding the Xovis API: A Guide to Integration and Data Access
: Data is pre-processed directly on the sensor to maintain full privacy compliance (GDPR), ensuring only anonymous, actionable insights are transmitted. Key Integration Features
endpoint. The sensor blinked green, acknowledging his credentials with a JSON response that felt like a secret handshake. He moved to the
