Most pavement condition surveys use rating systems in which pavement distress is measured by type, extent, and severity. Rating either bituminous or portland cement concrete pavements by the pavement condition rating (PCR) or similar systems is tedious and time-consuming. In most instances, distress measurement is subjective, which affects the actual rating. Improved data collection and data processing methods are thus needed to expedite pavement evaluation that can be used as input in pavement management systems. Recent advances in computer technology now permit the identification and quantification of distress types that can be measured by width, length, or area by automatic analyses of images captured by a microcomputer from video or film recordings. The development of a low-cost system for video image pavement distress analysis is described; the system allows the identification, classification, and quantification of commonly occurring pavement distress types in terms of severity and extent. Once pavement distress is identified, quantified, and classified, the system can be combined with rating procedures (such as PCR) to obtain a quantitative measure of pavement condition. Hardware and software characteristics of the system are described in detail. Diagrams showing the connection of system components and procedural steps leading to the calculation of a pavement rating are also included. Distress identification and classification is currently limited to distress types that can be quantified by width, length, geometry, or area covered by the distress.