CHAPTER 5 CONCLUSION 5
In this project, Anti fog camera is designed. It explains the basic structure and system design for raspberry pi based anti fog camera system. The system is very helpful for reduction in accident. In this system user can do drive safely in fog weather. Using this system we can provide human safety and reduced the accidents ratio. It makes the relation between weather (fog) and driver more reliable.
1 Federal Highway Administration. (2017, February 1). Low Visibility. Retrieved March 2, 2017, from Federal Highway Administration.2 Erdman, J. (2015, March 11). Fog: Deadlier Driving Danger Than You
Think. Retrieved March 3, 2017, from The Weather Channel.3 Federal Highway Administration. (2017, February 1). How Do Weather
Events Impact Roads? Retrieved March 2, 2017, from Federal Highway.4 Kothari, C. R. (2013). Research Methodology: Methods and Techniques (3th ed.). India: New Age International
Pvt Ltd Publishers.5 Agrawal, N., & Singhal, S. (2015). Smart drip irrigation system using raspberry Pi and arduino. Proceedings
of International Conference on Computing, Communication & Automation (ICCCA) (pp. 928-932).
6 Danymol, R., Ajitha, T., & Gandhiraj, R. (2013). Real-time communication system design using RTL-SDR and
Raspberry Pi. Proceedings of International Conference on Advanced Computing and Communication Systems
(ICACCS) (pp. 1-5). Coimbatore, India: IEEE.
7. Fung, P., White, D., Jouet, S., Singer, J., & Pezaros, D. (2013). The glasgow raspberry Pi cloud: A scale model
for cloud computing infrastructures. Proceedings of IEEE 33rd International Conference on Distribute
Computing Systems Workshops (ICDCSW) (pp. 108-112). Philadelphia, PA: IEEE.
8. Naughton, Russell (10 August 2004). “Kalman Tihanyi (1897–1947)”. Monash University. Archived from the original on 24 October 2003. Retrieved 15 March 2013.9. Gibson, Chris (2015). Nimrod’s Genesis. Hikoki Publications. pp. 25–26. ISBN 978-190210947-3.10. J.A lee at all: “An effective control of auto defog system to keep automobile windshield glass clear”, ieee, 10.1109/ICCAS.2010.5669797.
11. Mario pavlic at all: “Image based fog detection in vehicles”, ieee, pp.1-2, 10.1109/IVS.2012.6232256, jul 2012.
12. Y.A.younes al all: “Foggy drone: Application to a hexarotor UAV”, ieee, 10.1109/ICASET.2018.8376842, 11 jun 2018.
In his project we have made a proto type. This project has required much improvement. The equipment we are using has not much efficient. We have a need of efficient equipments.
Achieved till now
Data sending and receiving Efficiency
Long battery backup
Efficient sensor Required
Remotely control system