03366nas a2200373 a 4500 20260818090856.0 260224s20259999th u ms t 000 eng d .b1247924x AIT ISPR IM no.25-01 Sareen, Ritik Development of mobile application for seamless area surveillance box connectivity and network management Pathum Thani, Thailand : Asian Institute of Technology, 2025 66 leaves : ill.+ 1 online resource Internship Report ; no. IM-25-01 An Internship Study submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Information Management Internship Report (M. Eng.) - Asian Institute of Technology, 2025 With the rapid advancement of technology, AI-powered surveillance systems are becoming increasingly essential for security and monitoring applications. The AS Box, an AI-driven computer vision device, is designed to perform license plate recognition, motion detection, and other real-time surveillance tasks. However, configuring the AS Box for network connectivity remains a challenge, requiring users to manually connect peripherals and input Wi-Fi credentials, making the setup process complex and inefficient. This study focuses on the development of a mobile application to streamline the network configuration process of the AS Box. The application, developed using Flutter, facilitates hotspot-based pairing, Wi-Fi/LAN connectivity, and automated IP address retrieval. A FastAPI backend is integrated into the AS Box to handle network requests and ensure seamless communication between the device and the mobile application. The system also incorporates SQLite for local storage, allowing users to manage multiple AS Boxes efficiently. The development process follows the Agile methodology to ensure rapid iterations, software quality, and risk reduction. Extensive unit testing and quality assurance are carried out, focusing on backend stability, API reliability, and overall system performance. The final product undergoes rigorous testing phases, from internal validation to beta deployment, ensuring a robust and user-friendly experience before full-scale implementation.By automating network setup and device management, this mobile application enhances the usability and scalability of the AS Box, making AI-powered surveillance solutions more accessible, efficient, and user-friendly. Mobile apps Development Artificial intelligence Chutiporn Anutariya, Chairperson Mongkol Ekpanyapong, Co-chairperson Attaphongse Taparugssanagorn, Examination Committee Chantri Polprasert, Examination Committee AIT Scholarship, Scholarship Donor Asian Institute of Technology. Internship Report ; no. IM-25-01 Full-Text http://203.159.5.9/ait-thesis/Viewer/viewer.php?id=B23623 .b1247924x mnarc a 260303 0 260302 m h a 0 mnarc 67 Barcode : - CREATED : 2026-02-24 RECORD # : i13576227 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 29406 29406 0 0 0 0 MAIN MAIN mnarc 2026-08-18 0 AIT ISPR IM no.25-01 2026-08-18 09:08:56 1 2026-08-18 67