When building software that relies on the Xovis API, observing these developer best practices will ensure system stability and clean data processing:
Below are the most critical endpoints used for data extraction. A. Real-Time Counting Data ( /counts )
: Used for automated, real-time data delivery. In firmware v5 and higher, this is managed through "Logics," where you define a Connection (the destination server) and an Agent (the data format and type being sent). Authentication and Security
: Ad-hoc queries, auditing configuration settings, downloading system logs, or syncing historical data batches up to 120 days old. xovis api documentation
This ensures data integrity even if the network connection to the central server is temporarily lost. 🚀 Integration Use Cases Full-featuring APIs - Xovis
The Xovis ecosystem supports multiple protocols depending on your latency and infrastructure needs:
Xovis sensors use virtual "count lines" to track objects crossing a specific threshold. When building software that relies on the Xovis
The sensor hosts a built-in web server exposing a RESTful interface. Developers submit structured HTTP requests directly to the sensor's IP address to fetch device statuses, current counts, or system configurations.
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.
In an era driven by spatial intelligence, understanding how people move through physical spaces is critical for optimizing retail layouts, managing airport queues, and improving smart building efficiency. Xovis, a global leader in 3D sensor technology, provides precise people-counting data via its robust hardware and software ecosystem. In firmware v5 and higher, this is managed
get_logs : Fetch system logs for troubleshooting and audit trails. Full-featuring APIs - Xovis
section. His goal was to capture live "X-Y coordinates" of every person in the lobby. He configured the to stream real-time events to his server. Define the Counting Line Dwell Time threshold. Listen for the person_crossed The Ghost in the Stream