Neural network based indoor positioning technique in optical camera communication system

Indoor positioning technique is one of the key research issues due to highly demandable market value to provide Location Based Services (LBS) using smart phone. In optical camera communication (OCC) case one of the main advantages in indoor navigation system is LED itself can transmit location information along with unique feature of a camera to detect location using photogrammetry. However due to nonlinear and highly complicated relationship between 3D scenery and pictured 2D image need to develop complex mathematical model to estimate position of camera using photogrammetry. Neural network can be used to learn this complicated relationship without developing any complex mathematical model. We have used feed forward neural network to estimate camera position using coordinate information transmitted by LED.