i-PRO transforms AI analytics development on its cameras with Docker

The compatibility of the new X-series i-PRO AI-powered with software containers Docker It enables developers to build applications faster and more scalable on an open, standardized platform.

The Docker software containers directly support the i-PRO Open Platform Development, as it provides developments with a set of standardized tools to move forward, Build and Execute Faster Artificial Intelligence in Your Perimeter Cameras.

Specifically,, Docker provides a secure, containerized environment for Run custom applications And, at the same time, facilitates the Integration with cloud services. In the first case, Its development software offers a protective barrier that prevents direct access to the camera's core operational functions, ensuring cybersecurity while allowing maximum flexibility.

Using Docker containers makes it easier to modularization of different AI components, By encapsulating multiple functionalities in separate containers, it is easier to manage and maintain the overall system. In addition, enables you to scale AI components by running multiple container instances on distributed edge devices.

"Thanks to Docker, third-party application providers can reduce development cycles and costs to develop custom AI applications. Hideo Noguchi, Technical Director of i-PRO-. Containers make custom analytics development more accessible to everyone.".

With support for up to nine AI applications, The i-PRO X-Series is the company's most powerful with this technology to date and the first to support on-site AI learning and provide powerful features to additional network cameras that don't feature artificial intelligence.

The AI Learning On site it allows operators to 'show' the camera the unique objects they want to identify, Search or Track. For example, recognize a logo on a truck and send an alert when it arrives at the loading dock or count pallets being unloaded.

The application of AI Processing Relay allows a single X-series camera Add metadata Artificial Intelligence on up to three additional devices who don't have this technology, even from other manufacturers.

This Extends the life of network cameras that can be difficult to reach and replace without causing significant disruption to operations. The Processing multiple AI-based analytics at the edge Reduces the need for expensive servers and minimizes notification delays.

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