Innovation Owner
นาย Singha Chaveesuk
Advisor
Details
This research integrates AI Access Control and Video Analytics to examine technology adoption behavior using the UTAUT2 framework. By testing these systems at KMITL EXPO, the study provides insights to optimize security management and digital marketing strategies.
In the digital era, Artificial Intelligence (AI) plays a crucial role in developing smart cities and enhancing business operations. Among AI-driven technologies, AI Vision Analytics has gained significant attention for:
- Access Control Systems (ACS)
- Consumer Behavior Analytics
This research focuses on integrating AI Access Control and AI Video Analytics to examine factors influencing Technology Adoption Behavior using the UTAUT2 (Unified Theory of Acceptance and Use of Technology 2) framework. Key factors assessed include Trust in Technology, Effort Expectancy, Social Influence, and Performance Expectancy, which impact users’ willingness to adopt AI-driven security and analytics solutions.
The study also includes a real-world implementation of AI Vision Analytics at KMITL EXPO, where an AI-powered Access Control System and AI Video Analytics are deployed. The collected data is analyzed to identify trends in AI adoption for business management and security enhancement. The findings provide valuable insights for businesses and organizations to optimize AI Vision Analytics for enhancing security management and digital marketing strategies.
Objective
To study factors influencing the adoption of Access Control and Video Analytics systems, and to analyze the impact of AI Vision Analytics on business management and consumer behavior.
- To study factors influencing the adoption behavior of Access Control and Video Analytics systems through the analysis of Trust in Technology, safety factors, Effort Expectancy, and Price Value.
- To analyze the impact of AI Vision Analytics on business management and consumer behavior, including Customer Behavior Analytics (e.g., Dwell Time, Heat Map, product response) and Access Control Analytics (e.g., automated verification, facial recognition).