Xovis: Api Documentation Link ((exclusive))

In a high-stakes scenario at a bustling airport, a data architect successfully resolves a terminal bottleneck by accessing the Xovis API documentation to bypass a frozen system. By utilizing the API documentation and specific endpoints, the team is able to visualize real-time human movement and prevent a major traffic jam. You can explore the actual technical capabilities of the Xovis API.

Xovis provides comprehensive REST API documentation through on-sensor Swagger interfaces, accessible by connecting directly to the sensor's IP address. For broader resources, partners can access the latest manuals and documentation via the Xovis HUB. Explore API integration details at PC2SE Technical Datasheet - Xovis

API with Swagger documentation, data pushes, remote device management tool, count. verification tool on-device. Xovis Services & Xovis Partner Program

Official Xovis API documentation is primarily hosted within the Xovis HUB, a dedicated partner platform for system integrators and developers. Official Resources

Xovis HUB: This is the primary portal where registered partners can access technical manuals, firmware updates, and detailed API documentation for both PC-series sensors and AERO software.

Xovis Customer Portal: Upon registration, customers can access this portal for comprehensive product information and support requests.

Postman API Network - Sensor V5 API: An OpenAPI specification for Xovis sensors with firmware 5.0 and higher. This provides a live, interactive reference for REST API calls and basic authentication. Developer References

REST API Support: Xovis 3D sensors feature robust REST APIs and data push options (e.g., XML/JSON) designed for integration into retail analytics, queue detection, and passenger flow management systems.

GitHub Driver Implementation: Open-source driver documentation (via PlaceOS) that illustrates sensor detail queries using MAC addresses and zone IDs.

Quick Guides: Technical PDFs for specific AI plugins like Staff Exclusion and Gender Statistics are often available through Xovis’s file directory. Sensor V5 API | Documentation | Postman API Network

The Xovis API serves as the primary bridge between their high-precision 3D sensors and external data environments, enabling businesses to transform raw spatial movements into actionable operational intelligence. Core Architecture and Data Flow

The API is designed to handle the high-volume data generated by Xovis sensors, which use stereoscopic vision to track people in real-time. It operates primarily through two distinct methods:

Push via Webhooks: The sensor pushes data to a remote server at set intervals or triggered events.

Pull via REST: External systems request specific data points (like current occupancy) using standard HTTP methods.

This dual-mode approach ensures that the API can support both live monitoring dashboards and long-term analytical warehouses. Key Functional Categories 1. Counting and Flow Metrics

The most fundamental aspect of the API is the retrieval of counting data.

Line Counting: Tracks how many people cross a virtual line in a specific direction.

Zone Occupancy: Reports the exact number of individuals within a predefined polygon.

Dwell Time: Measures how long individuals remain within specific areas. 2. Live Stream and AI Plugins Modern Xovis APIs extend beyond simple numbers.

Heatmaps: Provides coordinates for movement density over time.

AI Metadata: Can include demographic guesses (gender/age) or object classification (strollers/umbrellas) if the specific AI firmware is enabled.

Status Monitoring: Allows developers to check sensor health, connectivity, and calibration status remotely. Technical Implementation

The API typically utilizes RESTful principles and returns data in JSON or XML formats. This makes it compatible with almost any modern programming language, from Python scripts for data science to JavaScript frameworks for web-based dashboards. Security and Authentication Basic Auth: Standard for internal, secure networks.

Token-Based: Preferred for cloud integrations and external data pipelines.

Privacy by Design: The API transmits coordinates and counts rather than identifiable video streams, ensuring compliance with global privacy regulations like GDPR. Industry Use Cases xovis api documentation link

Retail: Integrating live occupancy data with staffing schedules to optimize labor costs.

Airports: Calculating wait times at security checkpoints and pushing that data to passenger-facing apps.

Smart Buildings: Automating HVAC and lighting systems based on real-time room occupancy. 📍 Accessing the Documentation

To access the official, most up-to-date Xovis API Documentation, you must typically log in to the Xovis Partner Portal. Because the API details are specific to sensor firmware versions (e.g., PC2, PC2S, or PC3), the documentation is gated to ensure developers use the correct schema for their hardware.

If you are a developer looking to integrate, I can help you: Draft a Python script to pull data from a Xovis sensor. Format a JSON request for a specific counting task.

Compare Push vs. Pull strategies for your specific network bandwidth.

Option B: On-Premise (Direct to sensor)

  1. Open a web browser.
  2. Type the IP address of your Xovis sensor (e.g., 192.168.1.100).
  3. Log in to the sensor’s web interface (default credentials may be in your manual).
  4. Navigate to API or Web Services.
  5. Click the link to API Documentation (Swagger UI). It will open a page like: http://192.168.1.100/apidoc/index.html

Option A: Xovis Cloud (Recommended for most users)

  1. Log into your Xovis Cloud account (e.g., https://cloud.xovis.com).
  2. Go to Settings or Account Management.
  3. Look for API Access, Developer Tools, or Integration.
  4. You will see:
    • Your API Base URL (e.g., https://tenant123.cloud.xovis.com)
    • Your API Key (Required for authentication)
    • A link to the API Documentation (usually a button labeled "Swagger UI" or "API Docs").

Conclusion: Your Next Step to the Xovis API Documentation Link

To summarize, there is no single, universal, publicly indexed Xovis API documentation link. Instead, the ecosystem is protected and distributed.

Once inside, you’ll find one of the most accurate and reliable people-counting APIs on the market—built for real-time analytics, integration with BI tools (Power BI, Tableau), and custom dashboard development.

For further help, refer to the official Xovis Knowledge Base at https://support.xovis.com (login required). The API is your key to transforming high-fidelity sensor data into actionable business intelligence.

The direct documentation links for integrating Xovis sensors are the Xovis Postman API Network Hub for Sensor V5 OpenAPI specs, and the official Xovis Support Portal for authorized hardware manuals and developer resources. 🚀 Unlocking Real-Time People Flow with the Xovis API

Data-driven decision-making hinges on high-accuracy location intelligence. Integrating 3D sensors into custom software can maximize the potential of physical spaces.

Whether optimizing airport security queues or analyzing retail conversion rates, the REST API and data push protocols let developers pull raw foot traffic data directly from the edge. 🌐 Where to Find the Documentation

Navigating API connections requires access to the correct developer repositories:

Postman API Network: Explore complete endpoint schemas on the Xovis Postman Workspace for sensors running firmware 5.0 and higher.

Xovis Support Desk: Pull detailed technical data sheets and setup guides directly via the Atlassian-managed Xovis Support Portal.

Official Insights: Read about system integrations on the Xovis API Overview Page . 🛠️ Key Capabilities of the Xovis API

Building custom analytics engines is supported by extensive edge-computed data options: Sensor V5 API | Documentation | Postman API Network

The official API documentation for Xovis sensors is primarily accessible via the Xovis HUB, a password-protected portal for partners and system integrators. For public developers, an OpenAPI specification for firmware version 5.0 and higher is available on the Postman API Network. Integration Paper: Xovis 3D Sensor API 1. Overview

Xovis 3D sensors (such as the PC2S and PC2SE) are autonomous people-counting devices that process data directly on the "edge". Integration is achieved through two primary methods:

REST API: A pull-based interface for querying real-time status and historical data.

Data Push: A push-based mechanism where the sensor sends telemetry (JSON or XML) to a pre-configured endpoint at set intervals or triggered by events. 2. Authentication and Security

Method: Most Xovis sensors use Basic Authentication (Username/Password).

Network Protocols: Secure integrations support HTTPS, SFTP, and MQTTS.

Authorization Header: Requests typically require an Authorization: Basic header. A X-Requested-With: XmlHttpRequest header can be used to bypass browser login popups during testing. 3. Core API Endpoints In a high-stakes scenario at a bustling airport,

The base path for modern firmware is generally /api/v5/. Key functional areas include: Full-featuring APIs - Xovis

Xovis provides REST API and data push capabilities for its 3D sensors via secure protocols, with detailed technical documentation accessed through authorized partner channels or direct contact. The API enables on-edge processing for metrics like queue detection and supports data buffering during network outages. For official documentation and access, visit Xovis Support Full-featuring APIs - Xovis

Need Access?

If you cannot access the links above, please request API credentials from your Xovis account manager or contact Xovis Support directly via their official website.

The Xovis Sensor V5 API, documented on Postman, enables the development of custom features for people counting, flow analysis, and AI-enhanced insights like staff exclusion and gender statistics. Developers can utilize REST API and MQTT to integrate real-time data for queue management, retail analytics, and remote device control, ensuring GDPR compliance. Access the documentation to start developing at Postman. Sensor V5 API | Documentation | Postman API Network

Xovis API Documentation Link and Integration Guide Xovis 3D Sensors are high-precision stereovision devices used for people flow analysis, queue management, and retail analytics. The hardware captures anonymous coordinates on-device, calculating actionable metrics like occupancy, line crossings, and dwell times. System integrators extract this information via the built-in Xovis Sensor API .

Developers looking to integrate Xovis devices can view the Sensor V5 API documentation on Postman , which details the OpenAPI-compliant endpoints available on firmware versions 5.0 and higher. Core Data Extraction Methods

The Xovis platform offers two primary data extraction methodologies for system architects:

┌──────────────────────┐ │ Xovis 3D Sensor │ └──────────┬───────────┘ │ ┌────────────────┴────────────────┐ ▼ ▼ [REST API (Pull)] [Data Push / MQTT (Push)] • On-demand querying • Real-time data events • Custom system polling • Event-driven architectures • Configuration management • Off-site central servers 1. The REST API (Pull Mechanism)

The REST API allows external software to fetch historical data or current state metrics directly from the sensor.

Real-time status: Check device health, system logs, and current zone occupancies.

On-device storage: Up to 120 days of analytics data can be stored and retrieved. This ensures zero data loss during network outages.

Swagger/OpenAPI Support: Newer models feature Swagger UI support hosted on the local device IP for testing endpoints directly in the browser. 2. Data Push & MQTT (Push Mechanism)

When ultra-low latency or large-scale event processing is required, sensors can be configured to push payloads directly to central servers.

Real-time events: Sends data instantly whenever a person crosses a counting line or enters a zone.

Supported protocols: Relies on HTTPS, SFTP, and MQTTS for secure communication over private or public networks. Authentication & Access Control

To authenticate API requests, Xovis applies security protocols directly to its edge endpoints:

Basic Authentication: Restricts access via the sensor’s native user management profiles (e.g., Administrator vs. Viewer).

Header Configurations: Requesting systems can use the X-Requested-With: XMLHttpRequest header to prevent unwanted browser authentication popups when testing via standard UI tools. Key API Endpoints & Capabilities

The endpoints in the Xovis API documentation let developers capture various metrics: Counting Lines

Bi-directional counts: Tracks total people entering or exiting a designated line.

Real-time extraction: Feeds directly into conversion rate calculators and business intelligence tools. Zone Analytics Full-featuring APIs - Xovis

The fluorescent lights of the airport control center hummed, a low-frequency drone that matched the headache throbbing behind Maya’s eyes. It was 2:00 AM, and the passenger flow data was simply... gone.

"System's been down for forty minutes," David, the shift supervisor, said, pacing the small room. "Operations is flying blind. If we don't get the queue times for Terminal C before the morning rush, we’ll have a riot on our hands."

Maya stared at the monitor. It displayed a spinning wheel of death. The Xovis sensors—mounted like unblinking black eyes in the ceiling—were working fine; she could see the raw stream on the backup server. But the dashboard that calculated wait times and occupancy was unresponsive. Open a web browser

"I need to bypass the dashboard," Maya muttered, rubbing her temples. "I need to query the sensors directly."

"You can't," David said. "The GUI is the only interface we have permission for."

"There's always a back door," Maya said, grabbing her laptop. She knew Xovis sensors were sophisticated; they ran on a Linux core and had a REST API for integration. She just didn't know the endpoints.

She typed furiously, accessing the sensor’s local IP address. A prompt appeared: Authentication Required.

"Okay," she whispered. She knew the admin credentials, but she didn't know the syntax. Was it /api/v1/data? /stream? /occupancy? Trial and error would take hours she didn't have.

She pulled up her browser, her fingers hovering over the keyboard. She needed the bible. The map.

She typed the query into the search bar: xovis api documentation link.

She hit Enter. The search results loaded in a flash.

Result 1: Xovis Support Portal. Result 2: Developer Integration Guide. Result 3: Xovis PC/AX API Reference v3.2.

"Gotcha," Maya breathed. She clicked the third link. A PDF opened, dense with technical jargon, JSON schemas, and curl commands. She scanned the table of contents, her eyes locking onto Chapter 4: REST API Endpoints.

She scrolled down. There it was. The endpoint for real-time occupancy data: GET /api/1.0/flow/realtime.

"David, I need to whitelist my IP for port 443," Maya said, her voice steady now.

"Why?"

"Just do it. I’m pulling the data raw."

David hesitated, then nodded to the network engineer in the corner. A few keystrokes later, the firewall was open.

Maya looked back at the documentation. It required a specific JSON payload for the query. She copied the example from the PDF, adjusted the sensor ID for Terminal C, and opened her terminal window.

She typed the curl command, her heart beating a little faster.

curl -X GET -H "Authorization: Basic [TOKEN]" https://192.168.1.45/api/1.0/flow/realtime

She pressed Enter.

For a second, nothing. Then, a stream of text flooded her terminal window.

"sensorId": "XC-1002", "zone": "Terminal C Checkpoint", "occupancy": 24, "avgWaitTime": 180

"It's working," Maya said, a smile breaking through. "Occupancy is 24. Wait time is 3 minutes. It's low, but we have eyes on it."

"Can you get it back into the main dashboard?" David asked.

"Give me ten minutes," Maya said, her eyes darting between the documentation and her code editor. "I'll write a script to pipe this into our database. The link saved us. We’re back online."

The hum of the lights didn't seem so loud anymore. The morning rush was coming, but for the first time all night, Maya was ready for it.