Deep Learning Based Efficient Algorithm for Object Detection Targeting Navigation Applications

We show that deep learning is an efficient algorithm for image detection targeting navigation applications, which doesn’t have communication, not even the data transfer from external sources like any device or from the cloud. To achieve this target algorithm only needs model weights of size 105MB and can detect the image with accuracy of 72% with response time of 1.3milliseconds on GPU. At the core our approach uses convolution neural network for detection of image which is at least 10X times faster than other state of art searching algorithms, LSH or any matching algorithm. Thus this permits us to use this algorithm for image detection in navigation applications. This allows us to navigate faster, secure as well as with maintained privacy of navigator