Smart Trolley — Portfolio

A student-led system simulating real-world airport assistance — combining autonomous movement, intelligent sensing, and wireless communication into a fully integrated robotic platform.

Hardware Build · Arduino + Sensors

ESP32 · Boarding Zone Detection

ESP32 · Waiting Zone Detection

Students Mentored

Zone States

IR Sensors

∞

Real-Time Follow

// Key Features

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Human Following

Dual IR sensors enable real-time human tracking — the trolley dynamically adjusts direction and speed to follow the user's movement continuously.

Dual IR · Real-Time

⊡

Weight Sensing

Integrated load cell with Arduino detects luggage weight in real time, displaying readings on a 16×2 LCD — essential for baggage compliance.

Load Cell · Arduino

◉

Location Detection

RSSI-based proximity detection identifies whether the trolley is in a boarding area, waiting zone, or transit zone — enabling context-aware behavior.

RSSI · Zone Logic

⊛

Wireless Communication

ESP32 microcontrollers enable WiFi-based interaction between the trolley and designated environment zones, forming a smart communication layer.

ESP32 · WiFi AP

// Mentor Role

Guided 2 students (ages 15–17) through full project development cycle

Hardware integration + Arduino & ESP32 programming

Introduced wireless communication layer to the system

Mentored debugging, testing, and performance optimization

// Tech Stack

Arduino Uno ESP32 Load Cell Ultrasonic Motor Driver L298N 16×2 LCD IR Sensors WiFi AP Mode RSSI Sensing Arduino IDE Robot Chassis Serial Comm

// Project Demo

Live Demonstration · Smart Trolley Working Principle