Parametric Analysis of Autopilot Intelligent Robot (PIR) Using Multiple Surface Gradient Path MSGP

Abstract

Robotic application is taking new dimensions around the globe, of which numerous problems are solved with embedded systems, this research introduces gradient vertices method from 3D geometric to perform data capturing using kinematic effect with aid of autopilot Intelligent Robotic (PIR). The research considered Multiple Surface Gradient Path MSGP using Toyota Camry 200x chases model using DC motor Pulse Wide Modulation (PMW). The discretion only Multiple Surface Gradients, distance values and angular pivots with respect to time. The PIR hardware “Raspberry Pi 3B” as the target board is interface with modular peripherals, using python programming language. Auto pilot is archived using different surface gradients and the digital images obtained during experience are stored for further analysis. The use of Tkinter GUI improved user experience in the extermination of the periodic oscillation, gradient values, proximate distance obtained by the PIR Final implementation. The deployment is completed by improvising a prototype model (PIR) suitable for Toyota Camry 200x. It is important to view it in the context of a larger community policing framework. PIR can be classified as intermission robot that can be used for different activities with the available feature kinematic system which make it relevant for multi-purpose activities.