ROAD CONDITION MONITORING AND GAS LEAKAGE DETECTION USING PIC16F877
Author’s Name : T.S.Anjusha | J. Jane Crispino | M. Varatharaj
Volume 03 Issue 01 Year 2016 ISSN No: 2349-252X Page no: 6-10
Roads are the dominant means of transportation in India .Pathetic road conditions of India arise mainly due to the natural events such as tropical rains and flooding that may lead to insecure driving. This paper proposes a new inexpensive system to avoid accidents on road due to humps and potholes. In this system ultrasonic sensors are used to detect and notify the height of humps and depth of potholes respectively. By using PIC16F877 microcontroller it gathers all the measured information about humps and potholes which are then displayed in 7 segment LCD display. The proposed system captures the geographical location of humps and potholes using Geographical Positioning System (GPS). This captured information is then send to the concerned authorities using Global Standard for Mobile communication (GSM) and the concerned authority will take necessary actions for the betterment of the roads. Furthermore this proposed system detects the leakage of gases in the vehicles using gas sensors and delivers the instructions to drivers to avert accidents.
PIC16F877, GPS, GSM SIM900, LCD display, MQ4 Gas sensors, Ultrasonic sensors
- S. S. Rode, S. Vijay, P. Goyal, P. Kulkarni, and K. Arya, “Pothole detection and warning system: Infrastructure support and system design,” in Proc. Int. Conf. Electron. Comput.Technol., Feb. 2009,pp. 286–290.
- H. Youquan, W. Jian, Q. Hanxing, Z. Wei, and X.Jianfang, “A research of pavement potholes detection based on three dimensional projection transformation,” in Proc. 4th Int. Congr. Image Signal Process. (CISP),Oct. 2011, pp. 1805–1808.
- J. Lin and Y. Liu, “Potholes detection based on SVM in the pavement distress image,” in Proc. 9th Int. Symp. Distrib. Comput. Appl. Bus. Eng. Sci., Aug. 2010, pp. 544–547.
- F. Orhan and P. E. Eren, “Road hazard detection and sharing with multimodal sensor analysis on smartphones,” in Proc. 7th Int. Conf. Next Generat. Mobile Apps, Services Technol., Sep. 2013, pp. 56–61.
- A. Mednis, G. Strazdins, R. Zviedris, G. Kanonirs, and L.Selavo, “Real time pothole detection using Android smartphones with accelerometers,” in Proc. Int. Conf. Distrib. Comput. Sensor Syst. Workshops, Jun. 2011,pp. 1–6.
- Z. Zhang, X. Ai, C. K. Chan, and N. Dahnoun, “An efficient algorithm for pothole detection using stereo vision,” in Proc. IEEE Int. Conf. Acoust., Speech Signal Process., May 2014, pp. 564–568.
- S. Venkatesh, E. Abhiram, S. Rajarajeswari, K. M. Sunil Kumar, S. Balakuntala, and N. Jagadish, “An intelligent system to detect, avoid and maintain potholes: A graph theoretic approach,” in Proc. 7th Int.Conf. Mobile Comput. Ubiquitous Netw., 2014, p. 80.
- S. Hegde, H. V. Mekali, and G. Varaprasad, “Pothole detection and inter vehicular communication” in Proc. IEEE Int. Conf. Vehicular Electron. Safety (ICVES), 2014, pp. 84–87.
- X. Yu and E. Salari, “Pavement pothole detection and severity measurement using laser imaging,” in Proc. IEEE Int. Conf. EIT, May 2014, pp. 1–5.
- A. Carullo and M. Parvis, “An ultrasonic sensor for distance measurement in automotive applications,” IEEE Sensors J., vol. 1, no. 2,pp. 143–147, Aug. 2001.