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Xovis sensors allow the creation of custom counting zones (e.g., "Main Entrance", "Checkout Lane 4"). Data is retrieved based on these Zone IDs.

The is the core software interface used by system integrators, smart-building managers, and retail analysts to extract precise, anonymous people-flow data directly from Xovis 3D stereo-vision sensors . Whether you are deploying the PC2 series, the newer PC3 models, or using the edge-processing Xovis SPIDER to link multiple sensors, understanding the Xovis API documentation is critical for building reliable, real-time spatial intelligence platforms.

The API provides flexibility in how you receive your data:

"status": "success", "timestamp": "2024-05-21T14:32:01Z", "data": [ xovis api documentation

Even experienced developers misread documentation. Here are frequent issues flagged in Xovis developer forums.

Periodic updates sent at pre-configured intervals to provide total counts or current occupancy levels. Key Data Points and Capabilities

Edge sensors have limited processing power. Check the API headers for rate limits and implement exponential backoff if you receive an HTTP 429 Too Many Requests error. Xovis sensors allow the creation of custom counting zones (e

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Tracking live occupancy levels to comply with safety regulations or measuring total daily visitors. Queue and Dwell Time Data

documentation. He realized the sensor’s "Object Classification" wasn't just identifying "Adult" or "Child." Deep in the metadata of the Extended Object Info , he found a custom tag he hadn't noticed before: Entity_Type: Residual Whether you are deploying the PC2 series, the

def get_current_occupancy(): try: response = requests.get( f"XOVIS_URL/occupancy/current", headers=headers, timeout=5 ) response.raise_for_status() data = response.json()

Xovis sensors track people traversing user-defined virtual boundaries. The API classifies these interactions into:

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