An Innovative Machine Learning Approach for Object Detection and Recognition

Artificial intelligence (AI) is a field in computer science that gives importance to the creation of intelligent systems or machines that work and react like humans. For humans, it is very easy to detect and recognize the objects as humans have a great capability to distinguish objects through their vision. But, for machines object detection and recognition is a great issue. To overcome this problem 'Neural networks' have been introduced in the field of computer science. It is also called as 'Artificial Neural Networks'. Neural networks are a form of non-symbolic artificial intelligence. They are computational models of human brain which helps in object detection and recognition. In other hand, Object detection and recognition is a field of study in which research is being carried out extensively. But, the research is more on dynamic objects i.e. objects in motion. The system aims to deal with object detection and recognition of static objects. The existing system uses basic classifier and have a low accuracy rate, our system replaces it with advanced classifier Faster R-CNN (Regional Convolution Neural Network) and thus has improved the accuracy rate of object detection and recognition.