Crime scene prediction without human intervention can have an outstanding impact on computer vision. In this paper, we present DNN in the use of a detect knife, blood, and gun in order to reach a prediction whether a crime has occurred in a particular image. We emphasized the accuracy of detection so that it hardly gives us the wrong alert to ensure efficient use of the system. This paper use Nonlinearity ReLu, Convolutional Neural Layer, Fully connected layer and dropout function of DNN to reach a result for the detection. We use Tensorflow open source platform to implement NN to achieve our expected output. This system can achieve the test accuracy of 90.2 % for the datasets we have that is very much competitive with other systems for this particular task.