Axis Communications is renowned for its versatile product portfolio. These devices, including but not limited to cameras, radars, and thermal sensors, generate a broad spectrum of data, catering to a wide range of applications.

Data is the lifeblood of today's digital world, and Axis' devices are pivotal in this context. Their ability to capture and transmit diverse data types to the cloud allows for robust processing and in-depth analysis. This wealth of data provides a foundation for actionable insights, which can be visually represented in intuitive dashboards for real-time decision making. Moreover, the system can respond automatically to specific data patterns, streamlining operations, and reducing manual intervention. Thus, Axis Communications' devices are not just data sources, but key enablers of efficiency and productivity in data-driven operations.

Analytics schematic

1. Utilize Axis analytics, third-party solutions or create custom applications with AXIS Camera Application Platform (ACAP)

Axis devices, including cameras, are designed to generate data at the edge, processing and transmitting only crucial information to the cloud for further analysis. This approach contributes to minimizing bandwidth and storage costs.

Importantly, data generation is not limited to the device's inherent capabilities. Axis also supports the use of AXIS Camera Application Platform (ACAP) applications installed directly on the device. These applications, which can be developed by Axis or third-party creators, further enhance the device's data generation capabilities. This opens up an array of possibilities for customized data collection and analysis, reinforcing Axis' commitment to offering versatile and adaptable solutions for various applications.

2. Efficient data transfer: sending only relevant data to the cloud

In the domain of analytics, data transmission plays a crucial role. A popular method for transmitting data from Axis devices to the cloud is through MQTT, a lightweight messaging protocol designed for minimal bandwidth consumption and robust data delivery. Analytics applications, such as AXIS Object Analytics and AXIS License Plate Verifier, transmit data in JSON, a widely-used format recognized for its readability and the computer-friendly structure, enabling easy understanding and processing by systems and machines. 

3. Processing the data

In the cloud, data is processed in real-time or batched for actionable insights. Cloud analytics excel in aggregating data from multiple sources. For instance, device data can be combined with weather or traffic information to gain deeper insights. This fusion of data unlocks new layers of understanding, facilitating more informed decision-making.

4a. Unlocking insights with user-friendly dashboards and queries

Cloud-based analysis helps translate data into user-friendly dashboards, enabling actionable insights. These insights can be used to detect patterns, anomalies, or specific events, facilitating timely decision-making and responses. For example, in retail, analyzing data can empower a business to forecast customer interactions and movements, optimizing operations and enhance the overall customer experiences. In addition to dashboards, users can interact with data by formulating queries or inquiries to obtain insights. Explore further in this integration guide, showcasing counting in AXIS Object Analytics.

4b. Leveraging analytics for automated actions in the IoT landscape

Analytics data isn´t limited to insights; it also drives automated responses. This capability is essential in the IoT landscape, where devices like Axis cameras indirectly can interact with other systems based on the data they capture and analyze. Consider a smart parking garage where vehicle license plates are cross-referenced with a cloud-based authorized list.  A positive match triggers the parking gate to open, granting entry. This approach, blending edge analytics and cloud verification, delivers a seamless, efficient, and secure access management solution for parking facilities.