Stephen Eduku, Mohammed Okoe Alhassan, Joseph Sekyi – Ansah
Driver drowsiness is a significant factor in vehicular accidents and therefore different technologies are being put in place to bring it to the barest minimum. This paper takes in-depth look at vehicle accident prevention system using wireless technology, eye blink sensor and automatic braking system to ensure that the vehicle slows down and comes to a halt when drowsiness is detected, and the system (circuit) is not reset within the threshold period programmed in the microcontroller of the system. The wireless technology which is the backbone of this project work was achieve through radio frequency wave, is then used to send an information (slow down there is halt car ahead) to other vehicles at a transmission distance of wavelength 0.69m with a frequency of 433MHZ. simulation software (Proteus) was used to critically analyzed the model of the design of the vehicle accidents prevention system using wireless technology. It was ascertained from the results that the vehicle accidents prevention system using wireless technology is an effective technology for vehicle accidents prevention due to driver drowsiness. The design of the vehicle accident prevention system using wireless technology, with the aim of sending information to other vehicles at a distance through RF module when drowsiness is detected was successfully implemented.
Stephen Eduku, Mohammed Okoe Alhassan, Joseph Sekyi – Ansah (2017); Design of Vehicle Accident Prevention System Using Wireless Technology;
Int J Sci Res Publ 7(10) (ISSN: 2250-3153). http://www.ijsrp.org/research-paper-1017.php?rp=P706874