Development of a Wi-Fi vision system for indoor human detection

Project manager: Tusupov Akhmet Dzhamalbekovich

Funding source: Internal grant

Project goal: to improve the accuracy and reliability of indoor human detection by developing a Wi-Fi system using CSI data and signal processing. The project development process begins with a thorough study of Wi-Fi signal classifications, microcontrollers and CSI. In addition, a comprehensive analysis of a number of studies on human detection methods using Wi-Fi signals is carried out.

Year of implementation: 2024

Partners: Astana IT University

Funding amount: 1,000,000 tenge

• Explored multiple aspects of Wi-Fi-based human detection, including theoretical foundations, hardware configurations, and data analysis methods.
• Empirical results showed that the system is capable of stably detecting human presence with a high level of accuracy. The use of sophisticated signal processing and machine learning techniques significantly improved the performance of the system, making it robust to environmental changes and interference.
• The practical significance of this work is evident from the wide range of possible applications.
• The project effectively demonstrated that a Wi-Fi vision system can be used to detect people indoors with practicality and efficiency.
• The research results contribute to the development of human identification technologies and open up opportunities for new applications in Internet of Things (IoT) networks.

Students: Bapieva E. ST-2102, Baltabek A. ST-2102.