A Novel Design of Image Based Object Recognition Model Using Enhanced Neural Classification Logic

The field of computer vision is a hard-hitting domain to detect and recognition objects. There are many strategies and algorithms to help in item detection in natural environments. The surveillance system and the image processing system monitor deflection of human and other object behaviors. Certainly the main things object detection is composed of are feature extraction and categorization. The method employed by this research is Enhanced Neural Network classifier (ENCL) based training of photos for object detection. Machine learning is used by computer vision. We are just proposing this research to create a new design and approach of a system that is capable of detecting objects and whenever an object is recognized as a specific label, the system will generate a pop up message. We use image process methods to build up the system. Thus, this experiment is conducted to know if the system can detect the object and determine the accuracy of the proposed system.