Shin Kong Security Seizes AI Behavior Recognition Opportunities for Smart City Safety Solutions

Transforming Passivity into Proactivity! Shin Kong Security Seizes AI Behavioral Recognition Opportunities with Diverse Strategies in Smart City Security

The 2026 Smart City Expo is set to take place next week. In a pre-event press conference, Shin Kong Security unveiled several innovative applications of AI behavioral recognition, targeting high-demand areas such as fraud prevention in finance, theft prevention in retail, home security management, and medical logistics. This showcases the industry’s shift from “passive monitoring” to “proactive warning”, as they actively pursue opportunities for upgrading security in smart cities.

In the realm of fraud prevention in finance, to align with the Financial Supervisory Commission’s initiatives to strengthen ATM fraud prevention policies and disrupt fraudulent cash flows, Shin Kong Security has launched an “AI Facial Recognition Access Control System.” Users must remove masks, helmets, or sunglasses before entering the automated service area at ATMs. The system confirms that the face is fully visible before granting access, while also linking imaging and entry control to enhance subsequent traceability.

For open ATM environments, Shin Kong Security has introduced an “ATM Fraud Prevention AI Recognition System.” When users insert their cards and enter their PINs, the ATM activates AI image recognition. If the system detects facial obstructions, it automatically prompts the user with a voice message, “Please remove your hat, mask, or sunglasses to reveal your full facial features,” and can pause transactions based on financial institution requirements, thereby strengthening the fraud prevention measures proactively.

In the retail and commercial sectors, Shin Kong Security has announced the “Spaces AI Risk Warning Solution.” This solution incorporates Vision-Language Models (VLM) technology, allowing the monitoring system to evolve from simple object recognition to an AI system with semantic understanding. When the system detects behaviors such as “items being concealed in jackets,” “picking up goods without payment,” or “unusual movement of cash registers,” it can immediately assess the situation and issue alerts, enabling staff to intervene before any financial loss occurs.

Shin Kong Security emphasizes that continuous AI behavioral analysis effectively fills the gaps of human inspections, helping businesses shift from post-event image retrieval to preventive measures. The solution can be customized flexibly to meet the needs of chain retail, logistics, and restaurant environments, aiding enterprises in enhancing operational resilience in a labor-short landscape.

In response to the demands of an aging society, Shin Kong Security has also launched the “EVS (Event-Based Vision Sensor) Fall Detection System.” Utilizing Edge AI technology, the system analyzes human movement in real-time. Once a fall is detected, it triggers an alert mechanism to notify management or family members, optimizing the golden time for rescue. Notably, the system does not capture images, alleviating privacy concerns, and can minimize interference from moisture and light changes, making it suitable for private spaces like bathrooms and bedrooms. This system can also be implemented in long-term care facilities, wellness communities, social housing, and general households, providing safety for elderly individuals living alone.

In terms of automation applications, Shin Kong Security showcased two Autonomous Mobile Robots (AMR). These robots incorporate navigation and path-planning technologies, enabling them to perform tasks such as greeting, guiding, and delivering supplies in indoor environments like restaurants, medical institutions, and offices, thereby reducing labor burdens and enhancing operational efficiency. One of the AMR robots features “access control design” that integrates multiple permission management and prescription verification mechanisms, facilitating the delivery process of controlled medications in healthcare settings, in line with the “three readings and five verifications” principle, helping alleviate the medication delivery workload of nursing staff.

Shin Kong Security notes that as the service industry and healthcare system continue to face labor shortages, the demand for autonomous mobile robots is steadily increasing, with potential applications extending to hospitality, commercial buildings, social housing, shopping malls, and public transportation stations.

By integrating AI behavioral recognition and image analysis technologies, security systems are transitioning from passive recording of post-event footage to intelligent protective mechanisms that facilitate real-time judgment and proactive notifications. Shin Kong Security emphasizes its commitment to further developing AI behavioral recognition and system integration capabilities. During the Smart City Expo, they will unveil new products and a brand image video, showcasing the results of their smart security strategies.

Shin Kong Security demonstrated the application of AI edge computing in fall detection to Tainan City Deputy Mayor Zhao Qinghui.