This paper proposes a vision based novel approach for real-time object counting. The
proposed approach uses the textural information for object counting. Speeded up robust …

In this paper, a real time inventory monitoring system using Convolutional Neural Network
(CNN) has been proposed. The objective is to develop a reliable and efficient method for …

Autonomous object counting system can help industries to keep track of their inventory in
real time and adjust their production rate suitably. In this paper we have proposed a robust …

Inventory management in an automated industrial environment is the foremost requirement
in order to shorten the gap between demand and supply. It comprises of object identification …

Autonomous object counting system is of great use in retail stores, industries and also in
research processes. In this paper, a Speeded Up Robust Feature (SURF) based robust …

In this paper, an approach for industrial machine vision system is introduced for effective
maintenance of inventory in order to minimize the production cost in supply chain network …

Proper path estimation and then tracking it accurately is challenging task for any Automated
Vehicle (AV) on industry floor. The paper proposes an algorithm which uses computer vision …

The color histogram is a statistical behavior for robust pattern search or matching; however,
difficulties have arisen in using it to discriminate among similar objects. Our method, called …

Automatic object recognition for texture-less objects using computer vision is a difficult task
in comparison of textured one since class discriminative information is rarely available …

Herein, an approach is presented to count objects in an image with different viewpoints. The
multiple views of prototype have been used to get the viewpoint invariance in Speeded Up …