Abstract: A system for acquiring, processing, storing, analyzing and reporting data relating to the condition of a road or other pavement surface (102) in real time. The system includes a digital camera (104) mounted on a vehicle and positioned relative to a pavement surface (102) so as to capture images of the pavement surface (102) while the camera (104) is moving relative to the surface (102). The system also includes an illumination assembly (100) to illuminate the region from which an image is taken and an interface between the digital camera (104) and at least one computer. The system also includes a processor in the computer for processing the images to detect and classify cracks and other pavement surface (102) features.

Abstract: An object detection system including passive sensors for receiving electromagnetic radiation from a moving object and generating intensity signals representative of the received radiation, and a processing system for subtracting the intensity signals to obtain a differential signature representative of the position of the moving object. An image acquisition system including at least one camera for acquiring an image of at least part of a moving object, in response to a trigger signal, and an analysis system for processing the image to locate a region in the image including markings identifying the object and processing the region to extract the markings for optical recognition.

Abstract: An object monitoring system includes a camera node (2) for monitoring movement of an object (18) to determine an acquisition time when an image of the object (18) is to be acquired and acquiring the image at the predetermined time. The system includes a camera (6) which is able to monitor moving objects (18), and image processing circuitry (10), responsive to the camera (6), which is able to detect a predetermined moving object (18) from other moving and static objects. From the image acquired, information identifying the object (18) can be automatically extracted. The system is particularly suited to monitoring and discriminating large vehicles (18) from other vehicles over a multi-lane roadway, and acquiring high resolution images of the large vehicles (18) at a predetermined acquisition point (22).