Addanki Abhaya Vikas, Ammanamanchi Ravisankar Bharadwaj ,Jonnadula Narasimharao 05 01 Human Vision is an incredible process of identifying different objects We can differentiate the objects with the help of the vision Object Dimensions Measurement program used to measure the dimensions of objects Which helps in the automation capturing and identification of a particular instance of the object These days realtime object detection and dimensioning of objects are essential issues in many areas of industry This is a necessary topic for computer vision problems There is a need for an enhanced technique for detecting objects and computing their measurements in realtime from pictures For this we will take the reference as the a4 sheet After that the dimensions of the object are measured In realtime two different objects or states could help fill in and differentiate the different objects in actuality Well refer to this part of the architecture as the important network which is normally pretrained as an image classifier to know how to extract features from an image more cheaply This is an outcome of the fact that data for image classification is easier and thus cheaper to label as it only requires a single label as opposed to defining bounding box annotations for each image Thus we can train on an extensive labeled dataset such as ImageNet in order to learn good feature representations Copyright (c) World Journal of Pharmaceutical Seiences. All rights reserved 2026