Abstract : Automatic detection, recognition and audio output of traffic signs is vital and might actually be utilized for driver help to decrease mishaps and ultimately in driverless cars. In this paper, Deep Convolutional Neural Network (CNN) is utilized to foster an Autonomous Traffic and Road Sign location and acknowledgment framework. The proposed framework works progressively distinguishing and perceiving traffic sign pictures. The commitment of this paper is additionally a recently evolved information base of 43 diverse traffic signs gathered from irregular street sides in India. The pictures were taken from various points and including different boundaries and conditions. A sum of 40000+ pictures were gathered to frame the data set which we named Indian Traffic and Road Signs. The CNN engineering was utilized with shifting boundaries to accomplish the best acknowledgment rates. Test results show that the proposed CNN engineering accomplished a precision of 98%, in this manner higher than those accomplished in comparative past investigations

| DOI: 10.17148/IARJSET.2021.81139