Mobile Device Data Erasure Rack for Multi-OS Batch Processing
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Solution Overview
Problem
The removal of customer data from used mobile devices is complicated, time-consuming, and expensive, especially as the number of devices increases and data volumes grow.
Innovation Solution
A system comprising a retention rack with slots for mobile devices, connected to computers and USB hubs, which automatically detects and removes data using customizable algorithms based on device type and OS, with a GUI for monitoring the process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual data removal methods are used, then flexibility and control are maintained, but time consumption and cost increase significantly
Solution Approach 1:
The system divides the data removal process into distinct operational phases: device detection, validation, OS identification, and automated data erasure. Each phase is handled by specific software modules that work independently, allowing the complex task to be segmented into manageable steps that can be executed automatically without human intervention.
Solution Approach 2:
The system performs self-service by automatically detecting mobile devices, validating their status, identifying operating systems, and executing data removal without requiring manual intervention. The automated software suite handles all operations independently, eliminating the need for human operators to manually navigate through complex data erasure procedures.
2Loss of time
If automated data removal systems are implemented, then time and cost are reduced, but detection and measurement complexity increases
Solution Approach 1:
The system performs preliminary actions by automatically detecting and validating mobile devices before initiating data removal. The validation process checks device status, compatibility, and readiness in advance, ensuring that only suitable devices are processed. This preliminary screening simplifies subsequent data removal operations by pre-filtering out incompatible or unsuitable devices.
Solution Approach 2:
The system replaces manual mechanical inspection and validation processes with automated software-based detection and measurement. Instead of human operators physically checking device conditions, the system uses software algorithms to automatically detect devices, validate their status, and measure compatibility, thereby reducing time consumption while maintaining accuracy.
3Productivity
If data removal is performed on multiple devices simultaneously, then productivity increases, but system resource requirements and complexity increase
Solution Approach 1:
The system merges multiple data removal operations into a single integrated process that can handle multiple devices simultaneously. The automated software suite combines device detection, validation, OS identification, and data erasure into one unified system that processes multiple devices in parallel, thereby increasing throughput without requiring separate resource allocation for each device.
Solution Approach 2:
The system implements multi-functionality by using a single automated software platform that can detect, validate, identify, and erase data from various types of mobile devices simultaneously. The universal software suite handles different operating systems and device models through standardized interfaces, allowing multiple devices to be processed through the same resource pool without requiring device-specific dedicated resources.
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.