Efficient Poultry Oversight: Revolutionizing Chicken Farm Management with IoT

Abstract

This project explores the development and implementation of two distinct IoT-based systems: a BMI Calculation System and an Entry/Exit Monitoring System. The BMI Calculation System utilizes an Arduino Uno microcontroller, HX711 weight sensor, and ultrasonic sensortomeasure a person’s weight and height, which are then used to calculate the Body Mass Index (BMI). The calculated BMI is displayed on an I2C display, making the system a compact and standalone solutionforhealthmonitoring inenvironmentssuch as clinicsandgyms. UnlikemanyexistingBMI measurementsystems, thissetup operates without requiring cloud connectivity, offering a more cost-effective and localized approach. The second system, the Entry/Exit Monitoring System, incorporates an ESP32 microcontroller, laser sensor, and LDR module to detect individuals entering or exiting through a doorway. The system counts the number of people passing through, displaying the data on a 0.99-inch OLED display and sending the data to the Thingspeak cloud platform for real-time monitoring and analysis. The system’s cloud integration makes it suitable for large-scale applications like event management, public spaces, and offices, where real-time monitoring of traffic flow is essential. These two projects demonstrate the potential of IoT to provide practical and scalable solutions in diverse scenarios. By integrating affordable components such as sensors, microcontrollers, and cloud platforms, this work showcases how IoT can contribute to automating tasks, enhancing data accessibility, and improving efficiency in health and crowd management systems. The successful implementation of these systems highlights the importance of IoT in modern technological solutions, offering promising applications for both local and cloud-based environments.