A trainable security system emthod for the same

Abstract

A security system comprised of a device for monitoring an area under surveillance. The monitoring device produces images of the area. The security system is also comprised of a device for processing the images to determine whether the area is in a desired state or an undesired state. The processing device is trainable to learn the difference between the desired state and the undesired state. In a preferred embodiment, the monitoring device includes a video camera which produces video images of the area and the processing device includes a computer simulating a neural network. A method for determining whether an area under surveillance is in a desired state or an undesired state. The method comprises the steps of collecting data in a computer about the area which defines when the area is in the desired state or the undesired state. Next, training the computer from the collected data to essentially correctly identify when the area is in the desired state or in the undesired state while the area is under surveillance. Next, performing surveillance of the area with a computer such that the computer determines whether the area is in a desired state or the undesired state.

Dependencies are inferred from the claim text.