AXIS Object Analytics (AOA) represents an advancement in the integration of artificial intelligence into video surveillance systems, transforming video footage into actionable data.

This analytics solution uses machine learning algorithms to detect, classify, track, and count objects in real time, offering a powerful tool for applications in security, operational efficiency, and resource management.

Architecture and Operation

AXIS Object Analytics is designed to operate on Axis IP cameras with native artificial intelligence support. The system is based on convolutional neural networks (CNNs), trained to identify visual patterns across different scenarios. The AOA architecture consists of three main components:

  1. Object Detection
    The detection module uses image segmentation techniques to identify objects of interest, such as humans, vehicles, and specific subcategories, such as cars and trucks. This process is based on supervised learning models, calibrated to minimize false positives under varying conditions of light, weather, and movement.
  2. Classification and Tracking
    After detection, objects are classified based on characteristics such as size, shape, and speed. Continuous tracking is performed through motion estimation algorithms, such as Kalman filters, ensuring that each object maintains a unique identity within the field of view.
  3. Data Extraction and Visualization
    The system collects and processes statistical data in real time, allowing its export to interactive dashboards or spreadsheets. This feature enables the analysis of trends and patterns, optimizing operational processes.

Advanced Features

AOA offers a wide range of features that make it versatile for various applications:

Scenario Configuration and Customization

Using an intuitive interface, users can create custom detection scenarios, adjusting parameters such as area of interest, type of object to be monitored, and trigger conditions. It is possible to run multiple scenarios simultaneously on a single camera, increasing operational flexibility.

Real-Time Analysis

The system delivers actionable intelligence instantly, allowing security or operational teams to respond quickly to critical events. For example, it is possible to identify abnormal movement in a restricted area or count vehicles to optimize traffic flow.

Integration with Third-Party Systems

AOA can be integrated with video management systems (VMS) and other IoT platforms, expanding its capabilities. It supports standard protocols such as ONVIF and RTSP, ensuring compatibility with existing infrastructures.

Use Cases and Applications

AXIS Object Analytics can be used across various industries and applications, including:

Security

  • Intrusion detection: Monitoring of restricted areas with automatic alerts.
  • Threat classification: Distinction between humans and vehicles for alert prioritization.

Operational Efficiency

  • Traffic management: Vehicle counting and real-time flow analysis.
  • Resource optimization: Monitoring of loading and unloading zones.

Workplace Safety

  • Danger zones: Detection of human presence in high-risk areas.
  • Accident prevention: Identification of atypical behavior in industrial settings.