Paper Title
Implementing Internet of Vehicles (IOV) Scanning Devices for Improving The Road Safety Concept

Abstract
The paper presents implementation of monitoring devices connected to the Internet of Vehicle network, that can contribute overall road safety, as well as, various road assessment programs. Internet of Things (IoT) already has been introduced as a spreading network of various devices that could be applicated in the different life situations. Internet of Vehicles (IoV) can be considered as a subgroup of IoT. However, the vehicle network could be significant contributor to safety of all traffic participants. Various multisensory platforms are equipped with video cameras, temperature and humidity sensors, surface scanning profilometers and so on. As a tool for road and environment monitoring, it can be mounted on the different classes of vehicles, such are motorcycles, cars, trucks, busses, trains, and, even pedestrians. Further on, such devices can be connected through the Internet of Vehicle (IoV) network. The common problems in the wireless field of communication, followed by connection quality between the moving objects are considered in different IoV models and predictions. Nevertheless, the main goal in this kind of multisensory unit network is to collect, processing signals and send back useful information in real time, or in time that could be sufficient for every traffic participant, to take adequate actions to avoid possible traffic accident. The digital signals are usually captured form multisensory platforms, and need to be sent to the local central computing systems or servers. After the signal processing, the results about the road and environmental conditions are sent back to every local vehicle network units, bringing information, necessary to adequate reaction. In this paper the various processing techniques of signals obtained by vehicle multisensory platforms are introduced. The problems of real time driver alerting for improving the safety level, considering problems of moving objects, wireless connections are analyzed Keywords - Internet of Vehicles, Road Safety, Multisensors platform, Driver Alert, Scanning devices.