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ALPS-DeviceTracking

This is an inter-disciplinary project developed by Berke Esmer & Ece Ata here in München, TUM.
If you have any questions or just want to reach us, send a mail to:

[email protected]
[email protected]

The application can be installed with the last version from here.

What is ALPS & Device Tracking?

The goal of Automated Licensing Payment Systems (ALPS) is to enhance accuracy and trust and reduce uncertainty as well as overall transaction costs in the licensing of Intellectual Property (IP). The system enables novel business models and contributes to fairer remuneration of the IP owners for the value their assets generate in the industry.

Most currently, an automated licensing payment system (ALPS) is being developed by a team of scholars, students and industry experts combining expertise from Technology Management, Innovation and Intellectual Property. This system will include digital infrastructure that enables the automated calculation, execution and verification of accurate payments from licensees and their customers to licensors.

As a contributor to this project, we develop an Android application which collects usage time of some sensors on Android Smart Phones e.g. Bluetooth, Wifi, Screen activation, etc. After that, the application sends this usage data to an already created and ready simulated DLT. This will enable more thorough and realistic testing scenarios.

Example Screenshoots

Login Screen Consent Screen Sensor Selection Screen
Data Collection Screen Stats for All Sensors Stats for One Sensor

Related Documents

Project Flyer
The flyer explains about the project and our position in contributing to it.

Project Description Report
The report includes our reflection into the project and the important details for discussions, implementation, testing and the release.

Project Requirements
List of requirements that needs to be met when the application is released at the end of the project.

Milestones

Milestone 1: 21.12.2020
Creation the UI, applying user tests for usability.

Milestone 2: 15.02.2021
Implementation of functionality. Sensor tracking, data collection and API.

Milestone 3: 15.03.2021.
Testing & Documentation.

Timeline

Timeline