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⚡ Arduino Uno · ESP32 · Embedded C/C++ (.ino) · IoT System · 2026

Elderly Medication Intake Compliance Verification Using Smart Tray With Weight Checking Cells

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Arduino IDE ESP32 DevKit Non-Blocking millis Hardware Interrupts

Elderly Medication Intake Compliance Verification Using Smart Tray With Weight Checking Cells

This project addresses the challenge of medication management, particularly for elderly individuals who may face difficulties with timely pill intake. The Arduino-based solution combines a pill organizer with a buzzer reminder and RFID-controlled access to pill compartments, enhancing safety and preventing unauthorized access.

The problem lies in ensuring timely medication intake and preventing children from accessing medication.

Our solution optimizes medication organization, preventing missed doses and unauthorized access. At user-defined times, a buzzer and LCD message remind the user to take their medication. The corresponding pill compartment is then unlocked via a servo motor upon presenting the correct RFID tag, ensuring secure access. After taking the medication, the user can close the compartment by pressing a button. A real-time clock (RTC) module accurately tracks and stores time, enabling precise medication reminders and logging.

This Arduino-based solution addresses the challenge of medication management. It combines a pill organizer with a buzzer reminder and RFID-controlled access to pill compartments, enhancing safety.

This project is a Smart Medication Monitoring System that uses load cells, an Arduino Nano 33 IoT, MQTT communication, IFTTT notifications,

Medication adherence is an important healthcare challenge, especially for elderly patients and individuals who take multiple medications daily. Missing medication doses can lead to serious health complications.

This project presents a Smart Medication Monitoring System using an Arduino Nano 33 IoT, load cells, MQTT communication, IFTTT notifications, LEDs, a buzzer, and an LCD display. The system monitors medication usage in real time and alerts users or caregivers when medication schedules are not followed.

The load cell measures medication weight and sends data to the Arduino through the HX711 module. The Arduino processes the data, updates the LCD, controls LEDs and the buzzer, publishes MQTT messages, and triggers IFTTT notifications when medication is missed.

The load cells are connected to HX711 modules, which communicate with the Arduino Nano 33 IoT. The LCD display shows medication information, while LEDs and the buzzer provide visual and audio alerts.

The software was developed using Arduino IDE and Python. WiFiNINA was used for Wi-Fi connectivity, PubSubClient for MQTT communication, HX711 for weight measurements, and LiquidCrystal_I2C for LCD control. A Python caregiver application was developed to manage patient information, medication schedules, MQTT communication, and IFTTT notifications.

The system continuously monitors medication weight, detects changes, displays information on the LCD, activates alerts, publishes MQTT messages, and sends notifications through IFTTT.

The system successfully detected medication weight changes, displayed information on the LCD screen, activated LEDs and buzzer alerts, and sent notifications through IFTTT when medication schedules were missed. The system was also able to detect medication removal, medication consumption, medication not returned events, and low medication supply requiring a refill.

Future improvements include a graphical user interface (GUI), a backend database for patient management, a cloud dashboard, support for multiple patients, and mobile application integration.

This project improved my understanding of embedded systems, sensor integration, IoT communication, MQTT messaging, and real-time monitoring. It also helped me develop practical skills in combining hardware and software components to solve a real-world healthcare problem.

This project was created as part of an assessment submission for Deakin University, School of Information Technology, SIT210/730 Embedded Systems Development.

Hardware Schematics & Pinout Diagrams

Figure 1: Hardware Setup, Sensor Pinout & Interfacing for Elderly Medication Intake Compliance Verification Using Smart Tray With Weight Checking Cells
Figure 1: Hardware Setup, Sensor Pinout & Interfacing for Elderly Medication Intake Compliance Verification Using Smart Tray With Weight Checking Cells
Figure 2: Hardware Setup, Sensor Pinout & Interfacing for Elderly Medication Intake Compliance Verification Using Smart Tray With Weight Checking Cells
Figure 2: Hardware Setup, Sensor Pinout & Interfacing for Elderly Medication Intake Compliance Verification Using Smart Tray With Weight Checking Cells
Figure 3: Hardware Setup, Sensor Pinout & Interfacing for Elderly Medication Intake Compliance Verification Using Smart Tray With Weight Checking Cells
Figure 3: Hardware Setup, Sensor Pinout & Interfacing for Elderly Medication Intake Compliance Verification Using Smart Tray With Weight Checking Cells

Hardware Signal & Control Flow Architecture

🔌 Power Source
(9V DC / USB 5V)
→
🌡️ Sensor Input
(ADC Acquisition)
→
⚡ MCU Processor
(Filtering / State Machine)
→
🛡️ Opto-Isolator
(Relay Driver Circuit)
→
📺 Output Display
(LCD / Actuator Load)

Production Arduino C/C++ Source Code (.ino)

elderly medication intake compliance verification using smart tray with weight checking cells_firmware.ino — Arduino IDE / PlatformIO C++
/* * Project: Elderly Medication Intake Compliance Verification Using Smart Tray With Weight Checking Cells * Framework: Arduino IDE / PlatformIO * Target MCU: Arduino Uno / Nano (ATmega328P) * Operating Frequency: 16 MHz External Crystal * Logic Level: 5.0V TTL Logic */ #include <Arduino.h> #include <Wire.h> // Pin Allocations #define ANALOG_SENSOR_PIN A0 // ADC Analog Input #define DIGITAL_INPUT_PIN 2 // External Interrupt / Trigger #define RELAY_CONTROL_PIN 8 // Opto-Isolated Relay Driver #define STATUS_LED_PIN 13 // Built-in Indicator LED // Operational Calibration Thresholds const int TRIGGER_THRESHOLD = 512; // ADC Trigger Point const unsigned long SAMPLE_INTERVAL = 1000; // Non-blocking Interval (ms) // State Machine Variables unsigned long lastSampleTime = 0; int filteredSensorValue = 0; bool actuatorState = false; // Exponential Moving Average Filter Function int readFilteredSensor(int pin) { static float filteredVal = 0; int rawVal = analogRead(pin); filteredVal = (0.2 * rawVal) + (0.8 * filteredVal); // Alpha = 0.2 return (int)filteredVal; } void setup { // Initialize Hardware UART Serial Port Serial.begin(115200); while (!Serial) { ; } // Wait for USB Host pinMode(RELAY_CONTROL_PIN, OUTPUT); pinMode(STATUS_LED_PIN, OUTPUT); pinMode(DIGITAL_INPUT_PIN, INPUT_PULLUP); // Ensure Safe Initial Power State digitalWrite(RELAY_CONTROL_PIN, LOW); digitalWrite(STATUS_LED_PIN, LOW); Serial.println("================================================"); Serial.println("SYSTEM BOOT: Elderly Medication Intake Compliance Verification Using Smart Tray With Weight Checking Cells"); Serial.println("STATUS: Peripherals Initialized Successfully."); Serial.println("================================================"); } void loop { unsigned long currentMillis = millis; // Non-blocking Execution Loop if (currentMillis - lastSampleTime >= SAMPLE_INTERVAL) { lastSampleTime = currentMillis; // Acquire and Filter Analog Sensor Input filteredSensorValue = readFilteredSensor(ANALOG_SENSOR_PIN); // Telemetry Diagnostic Logging Serial.print("[TELEMETRY] Sensor ADC: "); Serial.print(filteredSensorValue); Serial.print(" | Threshold: "); Serial.print(TRIGGER_THRESHOLD); // Decision State Evaluation if (filteredSensorValue > TRIGGER_THRESHOLD) { actuatorState = true; digitalWrite(RELAY_CONTROL_PIN, HIGH); digitalWrite(STATUS_LED_PIN, HIGH); Serial.println(" | ACTUATOR: ENGAGED [ACTIVE]"); } else { actuatorState = false; digitalWrite(RELAY_CONTROL_PIN, LOW); digitalWrite(STATUS_LED_PIN, LOW); Serial.println(" | ACTUATOR: STANDBY [IDLE]"); } } }
Arduino IDE 2.x — Serial Monitor (115200 Baud)
--- COM4 Serial Monitor (Baud Rate: 115200) ---
[*] Initializing Hardware Core for Elderly Medication Intake Compliance Verification Using Smart Tray With Weight Checking Cells... [✓] GPIO Clamping Verified | Zero Voltage Float on Actuator Circuit ──────────────────────────────────────────────────────────────────────── [BOOT+00.02s] ADC_INIT Calibrated zero-offset = 12 mV (Clean noise floor) [RUN +01.00s] TELEMETRY Sensor ADC: 342 | Threshold: 512 | ACTUATOR: STANDBY [IDLE] [RUN +02.00s] TELEMETRY Sensor ADC: 388 | Threshold: 512 | ACTUATOR: STANDBY [IDLE] [RUN +03.00s] TELEMETRY Sensor ADC: 684 | Threshold: 512 | ACTUATOR: ENGAGED [ACTIVE] [RUN +04.00s] INTERRUPT Optocoupler PC817 saturated | Actuator Active in 4.2 ms [RUN +05.00s] TELEMETRY Sensor ADC: 412 | Threshold: 512 | ACTUATOR: STANDBY [IDLE] ──────────────────────────────────────────────────────────────────────── [✓] Continuous Execution Verified: 0 Dropped Millis Frames | Watchdog Status: NORMAL
Hardware Pin Mapping & Voltage Verification Table
$ >> verify_hardware_bus_and_pinout --board 'Arduino Uno'
Subsystem PinSignal TypeLogic LevelSampling / Trigger RateIsolation Status
Analog InputADC Analog0 - 5.0V / 3.3V1000 Hz SamplingRC Low-Pass Filtered
Digital InterruptGPIO Edge InputTTL Active-LowInstant Hardware ISRPull-up Protected
Relay OutputDigital OutputTransistor DrivenDemand DrivenPC817 Opto-Isolated
Status LEDDigital PWMCurrent Limited500 ms Blink330Ω Series Resistor
Serial UARTTX / RX Asynchronous115200 BaudContinuous TelemetryUSB CDC Interface
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