ABSTRACT

 Machines are playing a key role in most innovative industrial environments. These developments in terms of machinery can be improved by additional intelligence incorporated to the machines. Intelligent machines have the ability to help people in various scenarios of their day-to-day lives. For example, intelligent machines can be applied in various fields and situations, such as continuous monitoring and diagnosing patients, video surveillance, intelligent transportation system, communication between machines, and online education systems. In the near future, machinery will be the most integrated part of any company or organization for efficient and effective working. This chapter describes the modification to a special module for intelligent automobiles for safe driving on roads and also to avoid pedestrian collisions. Pedestrian protection is very important since there are many people who lose their lives in road accidents. An intelligent module should be developed to detect the presence of people crossing roads and then providing necessary alerts to the corresponding automobile in order to avoid collision and possible injury. One of the practical situations where the driver assistance system is compromised is in weather with heavy fog. In such scenarios, tracking the presence of pedestrians is a somewhat difficult task. To avoid this, we can introduce a specialized camera setup for clear vision information. The same pedestrian track information should be passed to 36the next adjacent vehicle that cannot view the presence of the approaching pedestrian. Such types of development improve safety measures and contributes to a comfortable lifestyle, even for physically challenged people in our society. This type of communication can be achieved by a special networking model called vehicular ad hoc network (VANET). These network models have no particular infrastructure and functionality. The features of automobile characteristics and its movements corresponding to the road conditions can be communicated to the neighboring vehicles by means of VANET.