The project consists of developing an electronic system for monitoring the environmental conditions in a baby's room, using the ATMega328P Xplained mini development board.

The main ambition behind developing this baby monitor system is to create a reliable, low-cost, and efficient IoT-enabled solution for monitoring a baby’s environment and well-being in real time.

Modern parents often rely on expensive commercial devices to ensure their child’s safety. This project aims to demonstrate that a similar level of functionality can be achieved using accessible components and embedded systems knowledge. By integrating environmental sensing (temperature and humidity) with sound detection, the system provides both preventive monitoring and immediate alerts.

A cornerstone of this project is the integration of IoT capabilities via a Telegram Bot. Unlike traditional monitors that have a limited range, this system leverages WiFi connectivity to bridge the gap between the nursery and the parent, regardless of distance. This adds a layer of modern convenience, allowing caregivers to receive instant, discrete notifications on their smartphones the moment crying is detected or room conditions become suboptimal.

From an educational perspective, the project reflects the ambition to apply theoretical knowledge in embedded systems, electronics, and network communication to a real-world application. It combines multiple subsystems—sensor data acquisition, signal processing, cloud-based alerting, and user interface—into a cohesive and practical solution.

Ultimately, the project emphasizes safety, accessibility, and connectivity, showcasing how affordable technology can be transformed into a powerful, real-time assistant for modern parenting.

• Environmental Monitoring:
  • Continuous measurement of ambient temperature and humidity using the DHT11 sensor.
  • Real-time data visualization on a local LCD 1602 display via the I2C protocol.
• Acoustic Detection:
  • Ambient noise monitoring via a high-sensitivity microphone module.
  • Identification of baby crying patterns based on a predefined and adjustable noise threshold.
• IoT Connectivity & Remote Alerting:
  • Wireless integration using the ESP-15F WiFi module.
  • Telegram Bot Integration: Instant push notifications sent to parents' mobile devices when crying is detected or environmental limits are exceeded.
• Local Multi-Sensory Alerts:
  • Audio Alert: Immediate acoustic feedback through an active buzzer.
  • Visual Status: An RGB LED providing intuitive status indications (e.g., Green for “All clear”, Red for “Alert”).

The device uses a DHT11 sensor to continuously measure temperature and air humidity, displaying these values on an LCD 1602 screen to allow monitoring of an optimal microclimate.

At the same time, a microphone module monitors the sound intensity in the room, being programmed to detect the baby's crying when a predefined noise threshold is exceeded.

When crying is detected, the system immediately triggers:

• an audio alert using a buzzer
• a visual notification using an RGB LED

This mechanism provides parents with an efficient real-time alert system.

As shown in the block diagram above, the system is organized into four main layers. The Sensing Layer collects environmental data, which is then processed by the ATMega328P in the Control Layer. Based on the logic implemented, the microcontroller triggers Local Alerts (LCD, LED, Buzzer) and communicates with the Telegram Cloud via the IoT Gateway (WiFi module).

List of components:

Hardware Schematic Description

The following schematic illustrates the interconnection of all system modules with the ATMega328P microcontroller.