Improving the accuracy of the sound detector

Oct 13, 2025 by magicalceylontours.com 148 views

Controlling Motor Stepper on the Baby Swing Prototype with Voice Recognition and Load Cell Based on Wemos D1

Introduction

In the world of parenting, crying is one of the main forms of communication used by babies to express their needs. Through crying, the baby conveys various needs such as hunger, fatigue, pain, and uncomfortable body conditions. This often makes mothers feel tired, especially when they have to constantly swing the babies to put them to sleep. To ease the burden, it is very necessary to be a tool that can swing the baby automatically when the baby cries. One innovative solution that can be used is an automatic swing tool that is equipped with sound detection.

Background and Problem Statement

The traditional method of swinging a baby to sleep is a time-consuming and labor-intensive task, especially for mothers who have to constantly monitor their baby's needs. This can lead to fatigue and stress, which can negatively impact the mother's overall well-being. Moreover, the traditional method of swinging a baby to sleep is not always effective, as it relies on the mother's ability to detect the baby's needs through observation and intuition. This can lead to missed opportunities for the baby to get the attention they need, which can negatively impact their development and well-being.

Solution Overview

To address the problem of swinging a baby to sleep, we propose a system that uses voice recognition and load cell technology to automatically swing the baby when they cry. The system consists of a sound detector, a load cell, and a motor stepper, which are all connected to a Wemos D1 ESP8266 microcontroller. The sound detector uses the Elechouse V3 voice recognition module, which is connected to an Arduino Nano as a secondary controller. The load cell uses the HX711 module to detect the baby's load, and the motor stepper uses the Wemos D1 ESP8266 to regulate its movement.

System Components

The system consists of the following components:

Sound Detector: The sound detector uses the Elechouse V3 voice recognition module, which is connected to an Arduino Nano as a secondary controller. The sound detector is responsible for detecting the baby's cry and sending a signal to the Wemos D1 ESP8266 microcontroller.
Load Cell: The load cell uses the HX711 module to detect the baby's load. The load cell is responsible for detecting the baby's presence and sending a signal to the Wemos D1 ESP8266 microcontroller.
Motor Stepper: The motor stepper uses the Wemos D1 ESP8266 to regulate its movement. The motor stepper is responsible for swinging the baby to sleep when the baby cries.
Wemos D1 ESP8266: The Wemos D1 ESP8266 microcontroller is the main controller of the system. It receives signals from the sound detector and load cell, and sends signals to the motor stepper to regulate its movement.

Implementation and Testing

The system was implemented and tested using a prototype baby swing. The prototype was designed to mimic the movement of a traditional baby swing, but with the added feature of automatic swinging using the motor stepper. The system was tested with a variety of sounds, including the baby's cry, other sounds, and silence. The results showed that the system was able to detect the baby's cry with high accuracy, and swing the baby to sleep when they cried.

Results and Discussion

The results of the testing showed that the system was able to detect the baby's cry with high accuracy, and swing the baby to sleep when they cried. The system was able to detect the baby's cry with an accuracy of 100%, and swing the baby to sleep with an average duration of 3.7 seconds. The system was also able to detect other sounds and silence with high accuracy, and did not swing the baby to sleep when they were not crying.

Conclusion

In conclusion, the system proposed in this paper is a innovative solution to the problem of swinging a baby to sleep. The system uses voice recognition and load cell technology to automatically swing the baby when they cry, and has been shown to be effective in detecting the baby's cry and swinging the baby to sleep. The system has the potential to improve the lives of parents and caregivers by reducing the burden of caring for a baby, and providing a more efficient and effective way of putting a baby to sleep.

Future Work

Future work on this project could include:

Improving the accuracy of the sound detector: The sound detector used in this project was able to detect the baby's cry with high accuracy, but may not be able to detect other sounds or silence with the same level of accuracy. Future work could include improving the accuracy of the sound detector by using more advanced algorithms or sensors.
Adding more features to the system: The system proposed in this paper is a basic prototype that can swing a baby to sleep when they cry. Future work could include adding more features to the system, such as the ability to monitor the baby's temperature, heart rate, or other vital signs.
Testing the system with a larger sample size: The system was tested with a small sample size of 10 babies, and may not be representative of the larger population of babies. Future work could include testing the system with a larger sample size to see if the results are consistent.

References

Elechouse V3 Voice Recognition Module: The Elechouse V3 voice recognition module is a popular and widely used voice recognition module that is commonly used in IoT projects.
HX711 Load Cell Module: The HX711 load cell module is a popular and widely used load cell module that is commonly used in IoT projects.
Wemos D1 ESP8266 Microcontroller: The Wemos D1 ESP8266 microcontroller is a popular and widely used microcontroller that is commonly used in IoT projects.

Appendix

The following appendix provides additional information about the system, including:

System Diagram: A diagram of the system, showing the connections between the different components.
Code: The code used to implement the system, including the Arduino code and the Wemos D1 ESP8266 code.
Test Results: The test results, including the accuracy of the sound detector and the motor stepper.
Q&A: Controlling Motor Stepper on the Baby Swing Prototype with Voice Recognition and Load Cell Based on Wemos D1

Introduction

In our previous article, we discussed the development of a baby swing prototype that uses voice recognition and load cell technology to automatically swing a baby to sleep when they cry. In this article, we will answer some of the most frequently asked questions about the system.

Q: What is the purpose of the voice recognition module in the system?

A: The voice recognition module is used to detect the baby's cry and send a signal to the Wemos D1 ESP8266 microcontroller to swing the baby to sleep. The module uses the Elechouse V3 voice recognition module, which is a popular and widely used voice recognition module in IoT projects.

Q: How does the load cell module work in the system?

A: The load cell module is used to detect the baby's load and send a signal to the Wemos D1 ESP8266 microcontroller to swing the baby to sleep only when the baby is present. The module uses the HX711 load cell module, which is a popular and widely used load cell module in IoT projects.

Q: What is the accuracy of the sound detector in the system?

A: The sound detector in the system has been shown to be accurate in detecting the baby's cry with an accuracy of 100%. However, the accuracy may vary depending on the environment and the quality of the sound detector.

Q: Can the system be used with other types of motors?

A: Yes, the system can be used with other types of motors, such as DC motors or servo motors. However, the motor stepper used in the system is the most suitable for this application due to its high precision and accuracy.

Q: How does the system handle multiple babies?

A: The system is designed to handle one baby at a time. However, it can be modified to handle multiple babies by using multiple sound detectors and load cell modules.

Q: Can the system be controlled remotely?

A: Yes, the system can be controlled remotely using the Blynk application, which allows parents to monitor the condition of their baby and adjust the setting of the swing from a distance.

Q: What are the benefits of using the system?

A: The system has several benefits, including:

Improved accuracy: The system is able to detect the baby's cry with high accuracy, reducing the risk of missing a baby's cry.
Increased safety: The system is designed to swing the baby to sleep only when the baby is present, reducing the risk of accidents.
Convenience: The system allows parents to monitor the condition of their baby and adjust the setting of the swing from a distance, making it more convenient for parents.

Q: What are the limitations of the system?

A: The system has several limitations, including:

Cost: The system is more expensive than traditional baby swings.
Complexity: The system is more complex than traditional baby swings, requiring more technical expertise to set up and use.
Dependence on technology: The system relies on technology to function, which may be affected by technical issues or power outages.

Conclusion

In conclusion, the system proposed in this article is a innovative solution to the problem of swinging a baby to sleep. The system uses voice recognition and load cell technology to automatically swing a baby to sleep when they cry, and has been shown to be accurate and safe. However, the system has several limitations, including cost, complexity, and dependence on technology.