In retail, transportation, and smart building management, understanding people flow is critical. Xovis is a global leader in 3D sensor technology and passenger flow management solutions. Their hardware counts people with high precision, but the real business value comes from the data generated.
For real-time operational platforms, Xovis hardware can be configured to act as an active client. The sensor packages metrics internally and pushes them directly to external endpoints like an IoT gateway or a cloud server at custom intervals.
Developers working with the Xovis ecosystem can consume and transmit data using two primary communication architectural styles: 1. The Pull Mechanism: REST API
The Xovis API has a range of use cases across various industries, including: xovis api documentation
The documentation is designed for seamless integration across various industries, including retail, transportation, and public facilities. 1. Sensor Configuration & Management
3.0 (Generic Reference) Base URL: https://api.xovis.io/v3
This public link is valid for 7 days and shares a thread, including any personal information you added. This link or copies made by others cannot be deleted. If you share with third parties, their policies apply. Can’t copy the link right now. Try again later. For real-time operational platforms, Xovis hardware can be
Time precision is vital for correlating data across multiple sensors. Ensure all Xovis devices and your destination servers sync to the same Network Time Protocol (NTP) server.
Don't poll the REST API every second for live updates. Use Webhooks or the Data Stream for real-time needs to save bandwidth and CPU.
This model is a push mechanism where the Xovis sensor acts as the server. You configure the sensor with a target URL, and it will automatically send data to that endpoint at specified intervals or when certain events occur. The Pull Mechanism: REST API The Xovis API
To build a resilient, enterprise-grade integration with the Xovis API, keep these technical best practices in mind:
The data generated on the edge can be extracted using two primary methods via the Xovis API ecosystem:
The Xovis wasn't just a 3D sensor; its high-precision stereoscopic vision was catching the thermal echoes of a crowd that had stood in this very spot fifty years ago, back when the building was a grand theater. The Resolution