Automated Objects Delivery System for Interior Locale using Line Following Robot with Optimized Security Parameters

Afshan Bhutto; Laraib Shaikh; Shahnawaz Talpur; Madeha Memon; Irfan Ali Bhacho

Authors

Afshan Bhutto Department of Computer System Engineering, Mehran University of Engineering and Technology
Laraib Shaikh Department of Computer System Engineering, Mehran University of Engineering and Technology
Shahnawaz Talpur Department of Computer System Engineering, Mehran University of Engineering and Technology
Madeha Memon Department of Computer System Engineering, Mehran University of Engineering and Technology
Irfan Ali Bhacho Department of Computer System Engineering, Mehran University of Engineering and Technology

Keywords:

Internet of Things, Line following robots, Hybrid Security, Indoor delivery robots, Real-time image tracking

Abstract

Automated object delivery robots are increasingly sought for convenience, reliability, efficiency, supporting organizational productivity, elderly assistance, and reducing human error and labor costs in indoor delivery tasks. While various security measures have been implemented for the delivery robot’s safety, the design strategies used in existing studies do not suffice as they do not use biometric technology for unlocking the robot and real-time image tracking of robot thievery via mobile app. This research-based project aims to design and develop an object delivery system within small to medium-scale buildings using a robotic prototype controlled via an Android app. The robot navigates using a line-following technique with IR sensors, avoids static obstacles with an ultrasonic sensor, verifies the receiver with a fingerprint scanner, detects the destinations using an RFID module, and captures images of illicit attempts using an ESP32 camera module sending them in the app simultaneously. The designed prototype along with the Android app has undergone several feature tests with varying conditions. The results suggest that the system can securely carry a payload weighing 20 kg and is capable of navigating 10 km with a speed of 5 m/s depending upon the battery power. This project plans to tackle significant Sustainable Development Goals (SDGs) specifically, achieve Quality Education through SDG 4, Decent Work and Economic Growth in SDG 8, and Industry, Innovation, and Infrastructure in SDG 9.

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