Visionary Guide to Unattended Object Detection using AI Video Analytics

The rise of artificial intelligence (AI) has revolutionized the way we look at security and surveillance systems. AI video analytics offer an innovative way to detect and monitor objects in a variety of scenarios, a technology that can be used to enhance security, automate processes, and increase accuracy. In this article, we’ll explore the different types of object detection using AI video analytics, and how they can be used to improve safety and security.

Unattended Object Detection

Unattended object detection, also known as abandoned object detection, is a type of object detection that uses AI video analytics to detect objects that have been left behind in an area. This technology can be used to detect objects that are not normally visible to the naked eye, such as suspicious packages or items that have been left behind in public areas. This type of object detection can be used in a variety of scenarios, such as airports, public transportation hubs, and shopping malls, to ensure that no suspicious activity is taking place.

Colour-Based Object Detection

Colour-based object detection is a type of object detection that uses AI video analytics to detect objects based on their colour. This type of object detection can be used to identify objects that are of a certain colour, which can be used to identify individuals, detect objects that need to be removed, or detect objects that are of interest. This type of object detection can be used in a variety of scenarios, such as traffic monitoring, medical imaging, and security systems.