Published in International Journal of Advanced Research in Electronics, Communication & Instrumentation Engineering and Development
ISSN: 2347 -7210 Impact Factor:1.9 Volume:3 Issue:2 Year: 05 April,2017 Pages:178-183
This paper proposes an intelligent collision avoidance system as a prototype, which avoids vehicle accidents and to provide a greatest security to the user in adverse or bad weather condition. Here, Ultrasonic sensor and vibration sensors placed in the car, where vibration sensor is used to detect the lane and avoids accident in significant manner. The vehicle state information is obtained using Ultrasonic sensor, which will continuously track for any obstacle from front side. If the obstacle is detected then microcontroller will continuously compare the distance given by Ultrasonic sensor. If the obstacle is closer to the car then the microcontroller will start applying safe limit conditions. The obstacle distance is 2cm the image captured by webcam and Obstacle details are sent to the user through Email by using GSM. If the distance is 5cm buzzer will be switched ON. The distance is 10cm send the phone call to user. The overall system is controlled by PIC and information is displayed on LCD. The vibration sensor with certain range of accelerating is fixed in the vehicle. When the vehicle is dashed with another or any other obstacle the vibration sensor detects whether the vibration is limit within range or not. It is greater it reports as accident and activate the auto dialer
GSM, LCD, Ultrasonic sensor
[1] Hoi-Kok Cheung; Wan-Chi Siu,; Lee, S.; Poon, L.; Chiu-Shing Ng, "Accurate distance estimation using camera orientation compensation technique for vehicle driver assistance system", 2012 IEEE International Conference on Consumer Electronics (ICCE), Pages: 227 - 228, DOI: 10.1109/ICCE.2012.6161840 [2] Murmu, N.; Nandi, D., "Low cost distance estimation system using low resolution single camera and high radius convex mirrors", 2014 International Conference on Advances in Computing Communications and Informatics (ICACCI), Pages: 998 - 1003, DOI: 10.1109/ICACCI.2014.6968509 [3] In-Sub Yoo; Seung-Woo Seo, "Object distance estimation based on frequency domain analysis using a stereo camera", 2015 IEEE International Conference on Consumer Electronics (ICCE), Pages: 343 -344, DOI: 10.1109/ICCE.2015.7066437 [4] Shi-Huang Chen; Ruie-Shen Chen, " Vision-Based Distance Estimation for Multiple Vehicles Using Single Optical Camera", 2011 Second International Conference on Innovations in Bio-inspired Computing and Applications (IBICA),Pages: 9 - 12, DOI: 10.1109/IBICA.2011.7 [5] Kumar, M.S.S.; Vimala, K.S.; Avinash, N., "Face distance estimation from a monocular camera", 2013 20th IEEE International Conference on Image Processing (ICIP) Pages: 3532 - 3536, DOI: 10.1109/ICIP.2013.6738729 [6] Sangjin Kim; Eunsung Lee; Hayes, M.H.; Joonki Paik, "Multifocusing and Depth Estimation Using a Color Shift Model-Based Computational Camera", IEEE Transactions on Image Processing Year: 2012, Volume: 21, Issue: 9 Pages: 4152 - 4166, DOI: 10.1109/TIP.2012.2202671