Object Classification
Our Object Classification Solution is an advanced video analytics system designed to accurately identify and classify objects within a scene in real-time. Leveraging cutting-edge computer vision algorithms, it can detect and categorise various objects such as vehicles, pedestrians, bicycles, and more. With customisable tagging and seamless integration, our solution provides valuable insights for security monitoring, traffic analysis, and crowd management. Enhance your surveillance capabilities and unlock the power of intelligent object classification with our innovative solution for improved situational awareness and decision-making.
Left Object Detection
Our Left Object Detection Solution is an advanced video analytics system designed to accurately identify and detect when objects have been left unattended within a scene. Leveraging cutting-edge computer vision algorithms, it can identify items such as bags, packages, or other objects that have been abandoned. With real-time monitoring and customizable alerts, our solution helps enhance security measures, mitigate potential threats, and ensure timely response to unattended objects. Improve your situational awareness and streamline your security operations with our intelligent Left Object Detection Solution for enhanced safety and peace of mind.
Removed Object Detection
Our Removed Object Detection Solution is an advanced video analytics system designed to accurately identify and detect when objects, such as valuable artworks or artefacts, have been removed from a scene. Leveraging cutting-edge computer vision algorithms, it monitors the designated area in real-time and triggers alerts when an object is detected to be missing. With customisable sensitivity settings and seamless integration, our solution helps protect against theft, vandalism, and unauthorised removal of valuable items. Enhance your security measures and safeguard your assets with our intelligent Removed Object Detection Solution for enhanced peace of mind and asset protection.