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In this paper, we implemented a light reflection elimination algorithm which is one of the main obstacles of various object recognition systems using vision systems. In other words, this algorithm can be used to remove robotic recognition obstacles from the factory and perform tasks such as locating robots, autonomous vehicles, or unmanned aerial vehicles. This algorithm has been studied with versatility in mind and does not require sensors other than stereo cameras. Algorithm that intuitively interprets pixels in HIS(Hue ,Saturation, Intensity) space and processes pixels corresponding to light. For intuitive analysis, take an angle, intensity, or other light source (sunlight, fluorescent light, candle) from the camera, then record each pixel value and separate it from a white object (whiteboard, paper, etc.). After pixel operation, object recognition is implemented using the CNN(Convolutional Neural Network) method using the YOLO(You Only Look Once)_V2 algorithm[5]

Real-time reflection removal algorithm using stereo camera only