Implementing video AI for timely intrusion detection

USE CASE VIDEO

Intrusion detection

Tap into the potential of your existing video feeds by extracting valuable insights. By acquiring data from cameras and monitoring tools, you can access a rich dataset to train your video AI model.

Ensuring secure environments through the implementation of intrusion detection model

Leveraging cutting-edge video AI technology, we are employing advanced algorithms for the primary objective of enhancing intrusion detection capabilities. This proactive approach enables us to fortify security measures, ensuring timely identification and response to potential threats within diverse environments.

Continuously refine your deployed model to scale

A centralised management tool for your datasets, enables you to deploy your model once and expand its scale as you gather more data. The streamlined MLOps processes integrated into this tool further simplify the detection process of detecting various sizes, types and additional objects and allow for seamless adjustments to model configurations, ensuring continual enhancement.