Neural Detector Implementation

[CJBuchel]

Fancy name for Trained Neural Network object detection.

Current detection speeds vary on performance, camera and the process which filters the contours in an image. Training a neural network using images of existing objects (users target object) to get a confidence level to add to the deploy map, would greatly increase the speed. The map would later get deployed and used for detecting objects on the coprocessor.

Should eliminate filtering and contour detection slowing detection down. May also provide better ways to track uniquely shaped targets.

[CJBuchel]

Basic feed forward Neural Network is being tested https://github.com/CJBuchel/NeuralNet. Main implementation exists, needs characterising methods for tracking certain shapes. (OpenCV has a method, might build my own depending on level of difficulty that OpenCV uses)