Expanding Future Value through Prediction with FACE TRUST Part 3.

Ensuring Daily Safety Through Face Recognition

In the era of FACE TRUST's face recognition AI 6.0, numerous innovative possibilities emerge across diverse domains. By comprehensively analyzing various elements such as identity verification through face recognition, behavior, and the surrounding environment, it prevents incidents and enables swift responses. It guarantees security for all through "trusted technology."

Today, let's explore how FACE TRUST's face recognition AI technology can bring about innovation in our lives by examining practical examples in the fields most intimately connected to our daily routines: mobility, healthcare, and public safety.

Face Recognition AI: New Solutions for the Mobility Revolution

Mobility encompasses a wide array of transportation methods and services, gaining prominence alongside the expansion of various industries centered around movement. While the automotive industry of the past primarily focused on hardware, with improvements in driving performance centered around engine-based enhancements, it is currently undergoing a transition into a software-centric industry capable of addressing traffic accidents and urban road environment issues through technological innovation. Specifically, the emphasis is on driver safety and enhancing operational efficiency, necessitating advanced technologies and solutions to achieve these objectives.


Face recognition AI technology enables real-time monitoring of the driver's condition, effectively detecting signs of drowsiness and instances of distracted driving. By analyzing various factors such as eye blinking, facial expressions, and posture comprehensively, it identifies any unusual driver states and provides the necessary response mechanisms. It assesses risk levels incrementally, promoting safe driving through measures like audible alerts, in-vehicle ventilation adjustments, and automatic music playback, ultimately mitigating the risk of accidents.

Furthermore, face recognition AI is well-suited to meet the security needs of the evolving landscape of transportation and IT, including autonomous vehicles, shared mobility services, and contactless logistics solutions. It plays a pivotal role in theft prevention for vehicles, enhances convenience, and ensures security in processes such as booking and utilizing shared mobility services, as well as identity verification during contactless logistics receipt.

Transforming Healthcare with Face Recognition AI

The South Korean government recently unveiled a budget allocation of nearly KRW 1 trillion for its AI mainstreaming strategy set to commence next year. Notably, this strategy includes plans for AI research and development aimed at improving the diagnosis of severe illnesses and enhancing the care of elderly individuals living alone, signaling a significant step towards technological innovation in the nation's healthcare and public health sectors.

AI, particularly face recognition AI, is generating high expectations as an innovative tool in healthcare, offering the potential to ensure our health and safety more effectively. Through face recognition AI, it is anticipated that we can deliver more advanced healthcare services by enabling precise medical diagnoses and providing support for the safety and well-being of patients and the elderly.

In 2019, Hallym University Medical Center became the first healthcare institution in South Korea to implement face recognition AI, establishing a patient identity verification system in operating rooms and major examination rooms. Furthermore, they announced plans for medical accident prevention by utilizing face recognition AI for more precise patient management during cancer drug administration and blood transfusions.

The analysis of the relationship between facial features and medical conditions can be employed for disease diagnosis. The face serves as a crucial indicator of health status, allowing for the early diagnosis of various diseases by examining factors such as skin tone, rashes, and swelling. Additionally, by linking genetic disorders or rare conditions with facial features, rapid and accurate diagnoses can be made, ensuring timely treatment.

The integration of face recognition AI with the trend of in-home care, where patients and the elderly are continually observed and supported in residential spaces, holds significant promise. Family members or caregivers can monitor situations such as a patient's falls, accidents, or prolonged absence and respond promptly in emergency situations, thereby providing invaluable services.

Building a Sustainable and Secure Society through Face Recognition AI

Designing a safe urban environment and managing energy efficiently play a crucial role in supporting the core principle of a sustainable society and are essential for the growth and development of future cities. Face recognition AI contributes to enhancing urban safety and quality of life while simultaneously managing and tracking energy efficiency for optimization.


In the stages of urban environment design, face recognition AI can help in understanding regional characteristics by comprehensively assessing the identities and unique circumstances of residents, enabling the formation of appropriate infrastructure. It can identify characteristics of areas densely populated by vulnerable groups such as the elderly, single residents, or areas with a high crime rate. This information can be used to build safety infrastructure, predict risks, and prevent accidents.

Furthermore, face recognition AI can collect data necessary for optimizing city structures, transportation systems, and residential and commercial areas. This data, when combined with demographic data, can be utilized for understanding energy consumption patterns and energy supply management. Analyzing population patterns helps optimize the urban environment, enhance energy efficiency, and contribute to disaster prevention and response.

In times of disaster, it enables the rapid identification of victims and effective response, improving the efficiency of relief operations. By utilizing face recognition AI in disaster situations such as fires, earthquakes, or floods, victim status and location can be swiftly determined, facilitating appropriate relief efforts and ensuring the “Golden Time” for safety is maintained.

FACE TRUST: Confronting Challenges for a New World

Face recognition AI, with its infinite possibilities, will continue to play a significant role in innovating our lives and enhancing productivity. It is crucial to accurately diagnose and overcome ethical issues associated with AI utilization while leading this innovation. FACE TRUST's mission is to lead technological innovation while fulfilling social responsibilities and ensuring ethically sustainable development.

• Personal Data Protection

Collecting, storing, processing, and sharing personal facial data without proper consent poses risks of exposing individuals' private information. It's imperative to ensure data collection occurs with prior consent, strengthen data access controls, establish data retention periods, and implement robust systems for management. Compliance with privacy laws, data processing standards, international regulations, and frameworks is paramount.


• Fairness and Technological Bias

Insufficient diversity in data and inadequate training can lead to discriminatory decision-making concerning specific races, genders, age groups, and more. To mitigate bias and produce fair results, an advanced process of securing diverse data, improving algorithms, and ensuring transparency in AI decision-making is crucial. Creating an environment where AI decision processes are transparently disclosed and understandable to individuals and organizations is also vital.

Security Concerns

To overcome challenges related to personal data protection, fairness, and technological bias, regulatory strengthening and technological innovation are essential. Subsequently, addressing security concerns is vital for safe AI technology utilization in real-world scenarios. Measures such as data encryption and the development of authentication elements are necessary to prevent personal data breaches. Establishing a system to counter security threats like facial forgery and hacking is critical.

Through examining innovation cases and the challenges faced by FACE TRUST, we've delved into the era of Face Recognition AI 6.0. FACE TRUST remains committed to ensuring security for everyone. By diversifying data, continuously learning, and optimizing models, FACE TRUST continually enhances the performance of Face Recognition AI. Through unwavering research and dedication, we will remain at the technology forefront, enabling everyone to place their "FACE TRUST" in AI.


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