Microsleep Accident Prevention for SMART Vehicle via Image Processing Integrated with Artificial Intelligent

Number of accidents caused by microsleep increases rapidly each day. This is due to the current trend of life, for example high workload, long working hours, traffic jams, having too much caffeine, drinking alcohol, age factor, and many others. This microsleep can lead to major accidents, higher number of deaths, injuries, demolition of property and permanent disability. The creation of SMART Vehicles in the Internet of Things (IoT) increases the technology capabilities in transportation sectors, in addition to reduce the number of crashes on the roads. An integration with Artificial Intelligent (AI) can be a perfect combination on development of a microsleep detection and prevention. While the image processing will be used as the method of detecting the face changes from normal to microsleep symptoms on detecting the eye degree, the head motion and the mouth yawning. This work presented a review of current research that supported the integration of IoT and AI. The analysis and discussion on the best solution and method to prevent microsleep accidents was shown. Lastly, recommendation on development of real sensors for SMART Vehicles will be discussed. A preliminary result on this work also will be shown.

Design and Construction of Smart Vehicle Security System Using GPS and Spy Cam

Aims: Vehicle security is critical in today's world because car thefts are on the rise. robbery, and impersonation are among the crimes committed against automobiles. As a result, keeping track of and safeguarding vehicles has grown to be a significant problem in modern life. Study Design: The system combines GPS (Global Positioning Service), GSM (Global System for Mobile Communications), and Spy Cam technologies interfaced with an Arduino UNO to track the location of a car in real time. Methodology: Short Message Service (SMS) messages are sent to the user or Vehicle authority mobile phone together with images of the current vehicle operator when SMS with the word "Track" is composed and sent to the SIM number inserted into the GSM module. BLYNK Android application serves as database for storing and retrieving cloud information when requested. Results: The vehicle current location and the image of the current user will be displayed on Google Maps application of the sender. This technology enhances mobile vehicle security and avoid loss and impersonation. An SMS security warning is also sent to the owner when there is a lot of movement in front of the camera. Conclusion: This system helps in detection and reporting of vehicle theft in real time. It can be employed in individual cars since it is affordable; also vehicle safety authorities can employ this technology to help them secure vehicles better.

Cyber Intelligence in Smart Vehicles

In the embryonic stage, the usage of vehicle tracking systems were primarily restricted to getting the geographical location of the vehicular units. This scenario, however, was not perennial and with the escalation from a rudimentary stage to a highly complex archi- tecture for vehicular administration that we witness today, the standards for the vehicles security have also become monumental. With the development of V2X communications, the gamut of facilities provided by smart vehicle services has expanded prodigiously. These technological advancements, however have come at a cost. The gargantuan transition that has taken place over the recent years exacts a lot of security and safety mechanisms to be implemented, adjunct to the products and services it comes equipped with. In this paper, after a comprehensive study in the domain, we imply a security system model comprising of a Microcontroller Unit (MCU), as a part of the Vehicle Tracing Mechanism (VTM), well connected with a Management Hub. The communications be- tween the Vehicular Unit(s), Management Hub and the system Vehicle Tracing Mecha- nism (VTM) are made viable via V2X communications with conducive aid from technolo- gies like Global Positioning System, Radio Frequency Identifications and GPRS network. The paper aims to ameliorate the extant security protocols and improve the security and safety standards of smart vehicles by broaching cyber intelligence in smart vehicles.