Convolutional Neural Network Approach and Implementation Sensor Design for Detecting Object

Abstract

Abstract This research offered sensor design for detecting animal for any applications uses convolutional neural network within JeVois smart camera. The camera is connected to communication processor through serial connection. By using 900 images for training, the sensor has been able to detect the intended animal presence and send the result to end node. The acuracy achieves 95 %, with 90.91% precision, recall 100% and F score of 95.24 %. Even dough the power consumption increases from 2.2 W to 4.08 W, the detection is potentially reduces number of the transmitter images.