Xovis Api Documentation Work File

"elementId": "zone_checkout_1", "elementName": "Registers Queue", "currentOccupancy": 8, "averageDwellTimeSeconds": 45.2 Use code with caution. C. Device Status and Health ( /system )

: The API supports remote configuration, status monitoring (using combined /info and /info/status endpoints), and health checks like is_alive? to ensure system reliability.

To ensure a stable enterprise integration, keep these architecture guidelines in mind:

The Xovis API provides a remarkably clean, developer-friendly interface to bridge physical foot traffic with digital business intelligence. Whether you are building a simple real-time occupancy dashboard for a local store or constructing a sprawling queue-management framework for an international airport, understanding these endpoint structures, authentication protocols, and data delivery methods ensures a scalable and stable integration. xovis api documentation

resolution : Data granularity (e.g., ONE_MINUTE , FIFTEEN_MINUTES , ONE_HOUR )

HTTP Basic Authentication or Bearer Tokens (depending on firmware version and setup).

When a person crosses the defined line, the sensor pushes a payload to your URL. A typical LineCrossing event looks like this: to ensure system reliability

For spatial analysis, Xovis allows you to draw 2D "zones" to measure how many people are in an area and how long they stay. /api/v4/zones/zone-data Method: GET Key Metrics Returned:

Access device-specific "Points" and "Logics" configured within the sensor. 2. Data Delivery Methods

If you are looking for specific integration steps, I can help clarify: How to set up the configuration. How to use Postman to test API endpoints. The steps to implement staff exclusion using the API. resolution : Data granularity (e

What are you trying to track? (Occupancy, live line counting, or dwell time)

For the most up-to-date endpoints and technical specifications, developers should log in to the to access the full Swagger/OpenAPI definitions.

The Xovis API is a robust, developer-friendly toolkit designed for scalability. Whether you are building a simple "Store Full" indicator or a complex AI-driven airport queue management system, the documentation provides the granular control needed to turn raw movement into actionable insights.