Slot-Based Mobile Data Erasure for Multi-OS Device Batches
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Solution Overview
Problem
The process of removing customer data from used mobile devices is complicated, time-consuming, and expensive, especially as the number of devices increases.
Innovation Solution
A system comprising a retention rack with multiple slots, connectors, computers, and a user monitor, which automatically detects and removes customer data from mobile devices based on their operating system, using customizable algorithms for data removal, and supports simultaneous processing of multiple devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual data removal processes are used, then flexibility and adaptability are maintained, but time consumption and cost increase significantly
Solution Approach 1:
The system divides the data removal process into distinct automated stages: device detection, operating system identification, and automated data removal. Each stage is handled by specialized software modules that operate independently, enabling parallel processing of multiple devices while maintaining manageable system complexity through modular architecture.
Solution Approach 2:
The system performs self-service by automatically detecting mobile devices, identifying their operating systems, and executing appropriate data removal procedures without human intervention. The automated detection and classification systems eliminate the need for manual assessment, significantly reducing time consumption while maintaining consistent, reliable data removal across different device types.
2Loss of time
If automated data removal systems are implemented, then processing speed increases, but the complexity of the system increases
Solution Approach 1:
The system employs a universal automated removal system that handles multiple operating systems (iOS, Android, Windows Mobile) through a single integrated platform. The system automatically detects the operating system type and applies the appropriate removal algorithm, eliminating the need for separate manual processes for each device type while maintaining fast processing speeds across all platforms.
Solution Approach 2:
The system adapts to different device characteristics by automatically detecting parameters such as operating system type, device model, and data encryption status. Based on these detected parameters, the system dynamically adjusts the data removal approach, selecting appropriate algorithms and parameters for each device type, which enables fast and reliable data removal without requiring complex manual configuration.
3Productivity
If multiple devices are processed simultaneously, then productivity increases, but the complexity of managing multiple devices increases
Solution Approach 1:
The system segments the management of multiple devices by creating independent processing channels for each device. Each device is assigned to a dedicated processing slot with its own detection and removal sequence, allowing simultaneous processing without interference. This segmentation maintains ease of operation by isolating device management tasks while maximizing throughput.
Solution Approach 2:
The system implements feedback mechanisms that continuously monitor the status of each device in the processing queue. Real-time feedback about device readiness, processing status, and completion allows the system to dynamically adjust the processing sequence and resource allocation, maintaining simple and intuitive operation even when managing multiple devices simultaneously.
Data Source
AI summary
Apparatus and methods for automatically removing customer data of a mobile device are disclosed according to various embodiments. In one example, a disclosed method comprises: detecting a mobile device connected to a slot; automatically determining whether the mobile device is valid based on data in a file system; upon determining that the mobile device is valid, automatically determining an operating system managing the mobile device; and automatically removing customer data of the mobile device based on the operating system.