Open AccessCaracterization of the Green Pointer Laser Beam Value as an Obstacle Sensor on Various Background Colors
Author(s) -
Ria Ariany,
. Rusnam
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/515/1/012010
Subject(s) - laser pointer , laser , computer vision , artificial intelligence , computer science , optics , pixel , green laser , obstacle , rgb color model , physics , geography , archaeology
Obstacle detection sensor is an important development tool of autonomous vehicles in recognizing its environment. Green laser pointer is an example of a sensor in the form of visibe light beam to detect the obstacles that are in the track of the tractor. This research aimed to Determine the variation of green laser beam as an obstacle sensors in different backgrounds and different intensity of light. This system used a CMOS camera and cctv lense 0-60 mm of focal length as the prime sensor and a green laser pointer at 532±10 nm with a maximum of 98 0 mW output power. Asicap software used to capture the image of the green laser pointer and then the image processed by using ArcMap 10.5 to determine the coordinat of the green laser and its RGB pixels. The camera is capable to detect the green laser pointer beam with intensities up to 50000 lux° with Temperature 51.6 ° C and 40.3% of humadity from 2 meters until 7 meters from Potition captured. From the tests carried out it appears that the normalization value of green laser light, especially for the maximum and minimum values of the components of green on various types of objects look the same. Especially for the minimum green value. This states that the various types of green laser beam sighting objects have the same minimum value, so the coding program will be the same.