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008			260224s20259999th u ms t 000 eng d
035			_a.b1247924x
099		9	_aAIT ISPR IM no.25-01
100	1		_aSareen, Ritik
245	1	0	_aDevelopment of mobile application for seamless area surveillance box connectivity and network management
260			_aPathum Thani, Thailand : _bAsian Institute of Technology, _c2025
300			_a66 leaves : _bill.+ _e1 online resource
490	1		_aInternship Report ; _vno. IM-25-01
500			_aAn Internship Study submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Information Management
502			_aInternship Report (M. Eng.) - Asian Institute of Technology, 2025
520			_aWith 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.
650		0	_aMobile apps _xDevelopment
650		0	_aArtificial intelligence
700	0		_aChutiporn Anutariya, _eChairperson
700	0		_aMongkol Ekpanyapong, _eCo-chairperson
700	0		_aAttaphongse Taparugssanagorn, _eExamination Committee
700	0		_aChantri Polprasert, _eExamination Committee
710	2		_aAIT Scholarship, _eScholarship Donor
810	2		_aAsian Institute of Technology. _tInternship Report ; _vno. IM-25-01
856	4	0	_3Full-Text _uhttp://203.159.5.9/ait-thesis/Viewer/viewer.php?id=B23623
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902			_a260303
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909			_aBarcode : - _bCREATED : 2026-02-24 _cRECORD # : i13576227 _dLPATRON : 0 _eLCHKIN : - _f# RENEWALS : 0 _g# OVERDUE : 0 _hIUSE3 : 0 _iTOT CHKOUT : 0 _jTOT RENEW : 0
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