Xovis Api Documentation (480p)
Xovis makes 3D sensors and people-counting solutions used in retail, airports, transit and smart buildings. Their APIs let you retrieve real-time counts, occupancy, sensor status, and historical/analytics data; and configure devices (depending on model and firmware).
"zoneId": "entrance_a", "name": "Main Entrance", "current_people": 47, "capacity": 100, "utilization_percentage": 47.0, "status": "normal"
The Xovis API offers a range of features that make it a powerful tool for developers. Some of the key features include:
Xovis provides a comprehensive set of APIs and data integration options for their 3D stereovision sensors (such as the PC2,
Best for real-time applications where the sensor "pushes" data to your server via HTTPS , SFTP , or MQTT . 🛠️ API & Endpoint Overview xovis api documentation
The sensor can be configured to send JSON packets to your server whenever a new event occurs. This is ideal for: Real-time dashboard updates. Immediate integration with POS systems. Reducing latency in data analytics. Key Use Cases Addressed by Xovis API
Optimizing staff scheduling and dynamically opening new cash registers or security lanes. Sensor Management and Status
Recent sensors running firmware 5.0 and higher utilize an updated Sensor V5 API , which is documented via Postman and supports Basic Authentication .
Built on robust REST API and data push options, the Xovis API transforms raw footfall information into actionable insights for various industries, including retail, airports, and smart buildings. Xovis makes 3D sensors and people-counting solutions used
Periodic updates sent at pre-configured intervals to provide total counts or current occupancy levels. Key Data Points and Capabilities
If you are getting started, always consult the specific firmware-matching documentation provided in your Xovis partner portal, as endpoints and JSON schemas can introduce optimization updates across version cycles.
I can provide a tailored to jumpstart your development. Share public link
For advanced analytics (e.g., heatmaps or path tracking), the API can push raw person coordinates. The sensor tracks the (x,y) foot position of every person in the scene, updating them at configurable intervals (e.g., every 5 seconds). Some of the key features include: Xovis provides
To accurately interpret the JSON payload from the API documentation, you must understand the three primary data tracking elements:
Queue length (number of people waiting), waiting time (average time spent in queue), and service time.
Crucial for airports and retail checkout lines. 3. AI-Powered Insights
resolution : Data granularity (e.g., ONE_MINUTE , FIFTEEN_MINUTES , ONE_HOUR )
