Design and Implementation of an Industrial Object Tracking using Image Processing Algorithms

Abstract

Today's industrial workers deal with a variety of issues, such as accidentally hiding expensive items elsewhere and having to go looking for them. To solve this issue, we are entering the sphere of object finding and determining which supports businesses and research facilities. The task of creating an object search system is difficult. Real-time object search makes it extremely difficult to identify items. We are moving toward real-time image capturing and recognition methods, which will transmit data across embedded devices' Wi-Fi networks and fall under the umbrella of Internet of Things (IoT) advanced technologies. The image-based object recognition in the suggested system has been carried out utilizing MATLAB and IoT-based image transmission and reception methodologies. Here, two different 32-bit ARM microcontroller types are successfully utilized. With the help of the cam, the webcam is first installed in a microcontroller, and an image is then taken and sent to the Raspberry Pi. With the aid of a four-wheel robot, this image captures and transfer mechanisms are carried out in a real-time environment. The robot will move across a black line while being followed by an infrared (IR) sensor.