My final year project in UTM

My Thesis Summary

Near infrared (NIR) based system is portrayed as the natural and best solution for night vision enhancement occasionally. Near-Infrared is widely used in Night Vision System (NVS) where it could have a better vision system at night. NIR illumination would not be detectable by humans or the drivers in the opposite direction (Tsimhoni et al., 2004). Hence, the NIR illuminator could be the high beam headlight of the vehicle without causing dazzle to others (Jahard et al., 1997). At night time, due to the insufficient illumination, drivers will have difficulty to see when they are driving. In darkness, the probability of an accident happens is much higher. The most vulnerable road users are pedestrians; they are four times to be fatally injured at night compared to day time. Data shows that nearly 70 % of pedestrian dead in accident happen at night (Luo et al., 2010).

The thesis consists of three objectives, first, it is to design and develop a NIR-NVS. Secondly, the lighting performance of different wavelengths of IR LED and different IR LED array shapes. Lastly is to identify the optimal performance of the NIR-NVS. The work scope is mainly focusing on the four main parts of the NIR-NVS, which are IR camera, IR illuminator, display screen and lighting control system. After the parts are finished, then compilation of the parts is done to have the system test in real life in University Technology of Malaysia (UTM), Skudai, Johor area at night time. The images are taken in real life test to analyse with MATLAB image processing toolbox.

References

Crete, Frederique, Thierry Dolmiere, Patricia Ladret, Marina Nicolas, and Felix Viallet. 2007. “The Blur Effect : Perception and Estimation with a New No-Reference Perceptual Blur Metric.”

DO, Q. B., BlurMetric.m in MATLAB function, PhD Student in L2TI Laboratory, Paris 13 University, France

Emin, Elerrond frens. 2006. “Near Infrared Imaging Using Modified CCD Camera.” University Technology Malaysia.

Erasmus, S. and Smith, K., “An automatic focusing and astigmatism correction system for the SEM and CTEM,” J. Microscopy, vol. 127, pp. 185–199, 1982.

Jahard, F, Fish D. A., Rio, A. A., and Thompson C. P., 1997. “Far / Near Infrared Adapted Pyramid-Based Fusion for Automotive Night Vision.” (443): 886–890.

Luo, Yun, Jeffrey Remillard, and Dieter Hoetzer. 2010. “Pedestrian detection in near-infrared night vision system.” 2010 IEEE Intelligent Vehicles Symposium: 51–58.

Mohd Ariff, Mohd Farid, Zulkepli Majid, Halim Setan, and Albert K Chong. 2010. “Near-Infrared Camera for Night Surveillance.” 10(1): 38–48.

Neli, Roberto R., Ioshiaki Doi, José a. Diniz, and Jacobus W. Swart. 2006. “Development of process for far infrared sensor fabrication.” Sensors and Actuators A: Physical 132(1): 400–406. h(November 12, 2012).

Tsimhoni, Omer, J. Bärgman, T. Minoda, and M.J. Flannagan. 2004. “Pedestrian Detection with Near and Far Infrared.” (December).

Verhoeven, Geert. 2008. “Imaging the invisible using modified digital still cameras for straightforward and low-cost archaeological near-infrared photography.” Journal of Archaeological Science 35(12): 3087–3100. (November 27, 2012).