Advanced security and safety measures with kai sense abandoned object detection model

USE CASE VIDEO

Abandoned object detection

Unlock the potential of your current video feeds by extracting valuable insights

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.

Seamlessly incorporate the abandoned object model with kai sense for effortless security boost

Integrating the abandoned object detection model into existing security protocols serves as a pivotal enhancement for organisations, providing a robust and sustained approach to threat mitigation. This model is designed to identify and flag abandoned items, contributes not only to immediate security measures but also establishes a foundation for long-term risk management, fostering a comprehensive and adaptive security ecosystem tailored to evolving organisational security needs.

Continuously refine your abandoned object detection model to scale

Elevate the performance of your abandoned object detection model by leveraging a centralised management tool for your datasets. This versatile tool not only facilitates the initial deployment of your model but also supports its scalable expansion, accommodating the accumulation of more data over time. 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.