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"elementId": "line_entrance_A", "elementName": "Main Entrance", "timestamp": "2026-06-03T04:20:00Z", "forwardCount": 1425, "backwardCount": 1310 Use code with caution. B. Zone Occupancy and Dwell Time ( /zones )

import requests from requests.auth import HTTPBasicAuth import json # Configuration SENSOR_IP = "119.2.0.50" # Replace with your sensor's IP USERNAME = "admin" PASSWORD = "SecurePassword123" url = f"https://SENSOR_IP/api/v4/elements/lines/counts" try: # Making a secure GET request with Basic Auth # Note: In production, verify SSL certificates (verify=True) response = requests.get( url, auth=HTTPBasicAuth(USERNAME, PASSWORD), headers="Accept": "application/json", verify=False ) # Check if request was successful if response.status_code == 200: data = response.json() print("Data retrieved successfully:") print(json.dumps(data, indent=2)) # Example of iterating through line counts for line in data.get("lines", []): print(f"Line: line['elementName'] | In: line['forwardCount'] | Out: line['backwardCount']") else: print(f"Failed to connect. HTTP Status Code: response.status_code") print(response.text) except requests.exceptions.RequestException as e: print(f"An error occurred during communication: e") Use code with caution. 6. Best Practices for Developers

This is the most common data type. The sensor tracks when a person crosses a virtual "Count Line" or enters a "Zone."

After surveying integrators, three recurring issues appear: xovis api documentation

: Data is pre-processed directly on the sensor to maintain full privacy compliance (GDPR), ensuring only anonymous, actionable insights are transmitted. Key Integration Features

Ensuring sensors are synchronized for accurate tracking. 2. People Counting & Tracking Data (v5)

All API communication should be encrypted using TLS to prevent credential sniffing and data tampering. Example Authentication Header: Authorization: Basic dXNlcm5hbWU6cGFzc3dvcmQ= Use code with caution. 3. Core API Endpoints and Data Payload Examples HTTP Status Code: response

The Xovis API documentation is a comprehensive guide that provides developers with the information they need to integrate Xovis' technology with their own applications. The documentation includes:

Documentation outlines how to extract specific Key Performance Indicators (KPIs) for different industries: Sensor V5 API | Documentation | Postman API Network

This section provides a step-by-step guide for setting up your first data integration using the Data Push method. This is the most common path for sending count data to an external system. The sensor tracks when a person crosses a

What or framework (e.g., Python, Node.js) you are planning to use.

Do not query the sensor API every time a user refreshes their dashboard. Cache data in a central database (like PostgreSQL or Redis) and query the database instead.

Xovis provides two primary methods for integrating data, depending on your system architecture. REST API (Pull Model)

Xovis 3D sensors utilize a REST API for system integration, enabling data streaming, configuration management, and AI-powered analytics for retail and airport applications. Detailed documentation for Sensor V5 API is accessible through the Postman API Network, providing comprehensive information on data structures and authentication protocols. Review the documentation and resources at Xovis.com . Full-featuring APIs - Xovis

Xovis sensors do more than just count people crossing a line; they track behavior within defined 2D zones. Zone Metrics