Design, Implementation, and Evaluation of an Object Tracking Motion Detection System

State: completed by Jan Meier

Nowadays, people can use their smart phones to achieve their location information and direction to go in their path by using various applications. bB adoption of Internet in our life, smart phones and other devices are facilitated with location estimation option in a way that not only people can access to their location information, but also, they can track the location of their objects (e.g., cars, keys, pets) remotely. During past years progresses had been made in object tracking systems. Technologies involved in this field play a crucial role in precision and accuracy of these systems. These technologies include Radio Frequency Identification (RFID), Near Field Communication (NFC), Bluetooth Low Energy (BLE), Global Navigation Satellite System (GNSS), Assisted- GNSS, Ultra Wide Band (UWB), Angle detection, and Received Signal Strength (RSS) measurement.
Energy consumption, chip costs, availability, and platform independency are important design and implementation challenges in this area. Various products of object tracking exist in market, which are using different technologies and provide different levels of applications such as "Motion Detection", "Anti-Theft", and "Object Tracking" for indoor or outdoor environments. Another important challenge in developing object tracking systems is security and user privacy. As most of the chips used in location estimation systems are broadcasting their identity (like the BLE technology), they are vulnerable to be identified by malicious attackers. This means high levels of security are needed in the back-end and front-end for object tracking systems to provide user privacy and information safety.
During state of the art analysis in object tracking methods and recent technologies it became obvious that a lack of scalable, dynamic, integrated, and platform-independent solution exists, which can address these security and privacy issues.
In this Master Thesis the design and implementation of an Object Tracking Motion Detection System has to be performed. As such in terms of a Web application, utilizing different packages in Java, the functionality of an anti-theft and protection approach have to be combined with motion detection abilities. This application will be applicable in both indoor and outdoor scenarios, for which a detailed requirements analysis for hardware (including user equipment, tracked objects, sensors, and chips) and the application’s software are required.

Final Report

20% Design, 60% Implementation, 20% Documentation

Supervisors: Dr. Corinna Schmitt, Sina Rafati

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