Submitted
2025 Global Learning Challenge

Baby Track

Team Leader
Monami Nishio
To address these challenges, we have developed a system using deep learning based video analysis and voice recognition technology. This system automatically detects behaviors, gaze, speech, facial expressions, and vocal content from smartphone videos, enabling a comprehensive automated evaluation of children’s developmental characteristics across four domains (language, cognition, motor skills, and social behavior) and internal states (interest, mood, discomfort, and...
What is the name of your organization?
Fvital
What is the name of your solution?
Baby Track
Provide a one-line summary or tagline for your solution.
Leverage AI-based video analysis to track child development in natura and data drivenly provide personalized educational plans.
In what city, town, or region is your solution team headquartered?
Tokyo, Japan
In what country is your solution team headquartered?
JPN
What type of organization is your solution team?
For-profit, including B-Corp or similar models
Film your elevator pitch.
What specific problem are you solving?
In Japan, approximately 820,000 individuals have been diagnosed with developmental disorders, and this number is rapidly increasing. When including those in the "gray zone"—individuals who do not fully meet the diagnostic criteria—the estimated total reaches 15 million, making it a significant social issue. Globally, this number rises to about 240 million. Developmental disorders can create challenges due to a mismatch between a child's developmental traits and their environment, leading to academic struggles, school difficulties, social isolation, and an increased risk of psychiatric conditions such as depression, anxiety, personality disorders, and psychosis-like states. These challenges have a profound impact on societal well-being. Addressing this issue is crucial for building an inclusive society where everyone can thrive. However, several obstacles remain, including a shortage of specialized personnel and facilities, which result in heavier workloads, declining service quality, and high staff turnover—ultimately limiting access to essential support. Additionally, a lack of awareness or emotional resistance among parents can hinder early detection and timely intervention.
What is your solution?
To address these challenges, we have developed a system using deep learning based video analysis and voice recognition technology. This system automatically detects behaviors, gaze, speech, facial expressions, and vocal content from smartphone videos, enabling a comprehensive automated evaluation of children’s developmental characteristics across four domains (language, cognition, motor skills, and social behavior) and internal states (interest, mood, discomfort, and stress). Based on this system, we are developing two products: 1. Smartphone app (release: April 2025): Allows parents to quantitatively evaluate their child’s development using daily life videos, manage their child’s unique characteristics, and get personalized treatment plans conductable at home. 2. Web-based service for therapeutic facilities (release: September 2025): Provides automated activity logs and tools for efficient staff reflection and information sharing, streamlining operations and enhancing service quality of special education.
Who does your solution serve, and in what ways will the solution impact their lives?
We are leveraging cutting-edge technologies to support children with developmental disorders and their parents, who are often marginalized in society. Additionally, since our technology is video-based and not reliant on language, it is easily adaptable and scalable across different countries. In fact, we have already begun collaborating with low- to middle-income countries such as Cambodia, Thailand, Vietnam, and Indonesia, where the shortage of professionals and resources is more severe compared to high-income countries like Japan. For instance, in Vietnam, it is reported that one in every 100 children has autism spectrum disorder, yet about 90% of these children do not receive appropriate therapeutic support. Through our service, we aim to improve and standardize the quality of therapy services in resource-limited settings within a short period of time, expand the infrastructure for providing support, and ultimately establish a de facto standard for developmental evaluation and support for children with developmental disabilities in low-income countries.
Solution Team:
Monami Nishio
Monami Nishio
Executive Officer