This returns average time spent (in milliseconds) per zone, helping you optimize product placement. Polling an API every minute is inefficient. The Xovis documentation describes webhooks. You configure XCS to send an HTTP POST to your server only when an event occurs (e.g., queue exceeds 10 people or occupancy hits 90%).
This article serves as a deep dive into the Xovis API ecosystem. We will explore the architecture, authentication methods, data endpoints, and best practices for leveraging the official documentation to build robust, scalable integrations. Before diving into the code, it is essential to understand the flow of data. Xovis sensors (like the PC2 or PC3 series) operate independently or through the Xovis Counting Service (XCS) – the central software that aggregates data from multiple sensors. xovis api documentation
"event": "queue_threshold_exceeded", "zone": "checkout_4", "value": 12, "threshold": 10, "timestamp": "..." This returns average time spent (in milliseconds) per
Even experienced developers misread documentation. Here are frequent issues flagged in Xovis developer forums. Pitfall 1: Timezone Confusion The Xovis API documentation explicitly states that all timestamps are UTC . If your application runs in EST or PST, you must convert. Ignoring this leads to historical reports that look "shifted by 5 hours." You configure XCS to send an HTTP POST
In the age of smart buildings and data-driven retail, accurate people counting has transitioned from a luxury to a necessity. Xovis , a Swiss leader in high-precision people flow analysis, stands at the forefront of this industry. Their 3D stereo vision sensors are renowned for millimeter-precision counting, but the true power of these sensors is unlocked through their Application Programming Interface (API).