2.1

System Design

The design of the mobile childcare monitoring system in this article includes the following aspects:

The structure diagram of the mobile childcare monitoring system based on virtual simulation technology of computer service programs designed in this article is shown in Figure 1:

Figure 1.

Structure diagram of mobile childcare monitoring system

2.2

System Implementation Related Algorithms

In the design of a mobile childcare monitoring system based on computer service program virtual simulation technology in this article, facial recognition algorithms are introduced to recognize and analyze the baby ’ s face, thereby understanding the baby’s emotional state [11-12]. Face recognition technology is a technology that utilizes computer vision and artificial intelligence algorithms to automatically recognize and distinguish different individuals by learning and analyzing facial features. In infant monitoring systems, the use of facial recognition algorithms can provide parents with a more comprehensive understanding of their baby ’ s emotional needs, and achieve real-time reminders and feedback [13]. Among them, the convolutional neural network based on deep learning is a commonly used face recognition algorithm. It uses the structure of multi-layer convolutional neural network to extract features from images and conduct face recognition by learning a large number of face sample data. By introducing facial recognition algorithms, the mobile parenting monitoring system can achieve intelligent baby emotion recognition and understanding, providing parents with more accurate and detailed baby monitoring and care suggestions [14-15]. The facial recognition algorithm includes the following aspects.

First, feature extraction is required, and the commonly used feature extraction algorithms include Principal Component Analysis (PCA) and linear Discriminant Analysis (LDA). In this paper, principal component analysis is selected for feature extraction. The relevant formula of PCA is as follows.

The mean vector is calculated as follows:

The covariance matrix is calculated as follows:

The covariance matrix is decomposed into eigenvalues:

The first k feature vectors are selected:

Next, feature matching is performed, and the feature matching algorithm is used to extract infant facial features for comparison and observation of whether there are abnormalities. Common feature matching algorithms include Euclidean distance, cosine similarity, etc. In this paper, Euclidean distance is used, and its formula is as follows:

Finally, the facial recognition algorithm combines feature extraction and feature matching to achieve infant facial recognition. In the formulas, the meanings of the variables involved are as follows: represents the feature vector of the face to be recognized, and represents the feature vector of the known face. represents the number of faces in the face database.represents the mean vector of facial images, which is used to represent the average features of the entire facial dataset. represents the covariance matrix of the face image, which is used to describe the correlation between features in the face dataset. represents the eigenvalue matrix of the covariance matrix, and the elements on the diagonal represent the eigenvalue. represents the eigenvector matrix of the covariance matrix. Among them, each column is a feature vector. represents the number of selected feature vectors, that is, the dimensionality after dimensionality reduction. represents the distance between two feature vectors and can be used to measure the similarity of two facial features.

3.1

System Feasibility Evaluation

The development of childcare monitoring systems has made significant progress, gradually moving from traditional childcare monitoring methods to virtual simulation mobile childcare monitoring systems [16-17]. In order to better understand the feasibility differences between traditional childcare monitoring systems and virtual simulation mobile childcare monitoring systems, this article conducts a comparative analysis using radar images. In this radar chart, several key indicators would be used as evaluation criteria, including technical proficiency, economic cost, time cost, market competitiveness, and operational difficulty. By comparing the scores of these indicators, the advantages and disadvantages of the two systems in different aspects can be more clearly understood, as shown in Figure 2.

Figure 2.

Feasibility comparison

Based on the comprehensive analysis of Figure 2, the virtual simulation mobile childcare monitoring system shows obvious advantages in terms of technical proficiency, economic cost, time cost, market competitiveness, and operational difficulty. The system in this article has a higher technical level, lower economic and time costs, stronger market competitiveness, and simpler operation. Therefore, the virtual simulation mobile childcare monitoring system has greater potential and feasibility in the field of childcare monitoring. The difference between traditional parenting monitoring systems and virtual simulation mobile parenting monitoring systems can be further explored to provide more comprehensive and efficient solutions for family parenting.

There are also significant differences in technology and functionality between traditional parenting monitoring systems and virtual simulation mobile parenting monitoring systems. Traditional childcare monitoring systems typically provide basic monitoring services through limited monitoring range and a single camera. However, with the continuous progress of technology, virtual simulation mobile childcare monitoring systems have emerged, bringing a new childcare experience to modern families with their wider monitoring range, multi camera configuration, and advanced functionality and convenience. Table 1 compares several key parameters of traditional parenting monitoring systems and virtual simulation mobile parenting monitoring systems:

Table 1.

Comparison of infant care monitoring systems

According to the data in Table 1, it can be seen that there are differences in multiple aspects between traditional parenting monitoring systems and virtual simulation mobile parenting monitoring systems.

The real-time monitoring range of traditional childcare monitoring systems is 40 meters, while the real-time monitoring range of virtual simulation mobile childcare monitoring systems is 100 meters. The virtual simulation mobile childcare monitoring system has a wider monitoring range and can provide a more comprehensive monitoring coverage. Traditional childcare monitoring systems are usually equipped with only one camera, while virtual simulation mobile childcare monitoring systems are equipped with four cameras. The virtual simulation mobile baby care monitoring system can provide more monitoring perspectives to ensure comprehensive observation and monitoring of infants. Traditional childcare monitoring systems do not have sound and light alarm systems, while virtual simulation mobile childcare monitoring systems are equipped with sound and light alarm systems. This means that the virtual simulation mobile childcare monitoring system can emit sound and light prompts when the baby experiences abnormal situations, more timely attracting the attention of guardians. The video storage capacity of traditional childcare monitoring systems is 30MB, while the video storage capacity of virtual simulation mobile childcare monitoring systems is 50GB. The virtual simulation mobile childcare monitoring system can store more monitoring videos, allowing guardians to trace and analyze longer monitoring records. The video quality of traditional childcare monitoring systems is smooth, while the video quality of virtual simulation mobile childcare monitoring systems is high-definition. The virtual simulation mobile baby care monitoring system can provide clearer and more detailed video images, helping guardians observe the baby’s condition more accurately. Traditional childcare monitoring systems do not support mobile devices, while virtual simulation mobile childcare monitoring systems support iOS and Android mobile devices. The virtual simulation mobile baby care monitoring system can conveniently monitor babies anywhere through mobile applications, providing greater flexibility and convenience.

Through comparative analysis of these parameters, it can be seen that the virtual simulation mobile baby monitoring system has more advantages and functions compared to traditional baby monitoring systems in terms of real-time monitoring range, number of cameras, alarm system, video storage capacity, video image quality, and mobile terminal support, and can provide more comprehensive and efficient baby monitoring services.

3.2

System Stability Verification

Seven experiments were conducted on the stability of traditional and virtual simulated mobile baby care monitoring systems, and the corresponding experimental results are shown in Figure 3:

Figure 3.

Stability comparison

Based on the column comparison data in Figure 3, the analysis can be conducted as follows:

The score range of traditional childcare monitoring systems was between 57 and 68, with an average score of 62.71. The score range of the virtual simulation mobile childcare monitoring system was between 80 and 91, with an average score of 85.71.

From the score data, it could be seen that the virtual simulation mobile childcare monitoring system achieved higher scores in all samples, and the average score was significantly higher than that of traditional childcare monitoring systems.

This indicated that virtual simulation mobile childcare monitoring systems had better performance than traditional systems in most cases. It could provide more comprehensive functions and higher monitoring quality, which could better meet the needs of users.

The comparison results of other parameters for these two types of systems are shown in Table 2:

Table 2.

Comparison of different parameters

According to Table2, the following analysis can be obtained by comparing the various parameters of traditional parenting monitoring systems and virtual simulation mobile parenting monitoring systems:

Real time monitoring: Both traditional parenting monitoring systems and virtual simulation mobile parenting monitoring systems can monitor the status and condition of infants in real time. Remote care: Traditional childcare monitoring systems do not have remote care functions, while virtual simulation mobile childcare monitoring systems can provide care services through remote connections. Nursing quality: The nursing quality of traditional baby care monitoring systems relies on manual experience, while virtual simulation mobile baby care monitoring systems can be optimized based on simulated situations to provide more accurate and high-quality care. Security: The virtual simulation mobile childcare monitoring system provides higher security compared to traditional systems, and may protect the transmission and storage of data through encryption technology. Mobility: Traditional childcare monitoring systems have limited mobility and require monitoring devices to be set up at specific locations. However, virtual simulation mobile childcare monitoring systems can monitor babies anytime and anywhere, making it convenient for parents to understand their babies’ situation in real-time. Cost: Relatively speaking, traditional childcare monitoring systems have higher costs and require the purchase of specialized equipment and installation and maintenance, while virtual simulation mobile childcare monitoring systems have lower costs and can be implemented through universal devices such as smartphones.

Overall, the virtual simulation mobile childcare monitoring system in this article had significant advantages over traditional childcare monitoring systems in terms of remote care, nursing quality, safety, mobility, and cost.