Sensor Data Filtering for Privacy Protection
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Solution Overview
Problem
In the AI and computer vision domains, users' biometric data is often collected without their knowledge or consent, and there is a lack of transparency in what data is being collected and shared, with users typically unaware of the extent of their personal information being transmitted to third parties.
Innovation Solution
A system and method that generates filtered sets of sensor data based on user-selected permissions, allowing users to control what biometric data is collected and shared, with a processor filtering raw sensor data from sensors and transmitting only the approved data to external entities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all raw sensor data is collected and transmitted to external entities, then the completeness of data is improved, but user privacy protection deteriorates
Solution Approach 1:
The patent extracts and removes sensitive personal information from the complete sensor data set before transmission. The system identifies and eliminates harmful data elements (privacy-sensitive information) while retaining useful data, thereby resolving the contradiction between data completeness and privacy protection
Solution Approach 2:
The patent introduces an intermediary processing system that sits between the sensor data collection and external transmission. This intermediary automatically filters and redacts sensitive information based on predefined criteria, allowing complete data collection while protecting user privacy through automated mediation
2Loss of information
If user consent forms and EULAs are provided, then user awareness of data collection is improved, but user comprehension and actual consent quality deteriorates
Solution Approach 1:
The patent segments the monolithic EULA into discrete, understandable permission categories that users can review and select individually. Instead of presenting a wall of text, the system breaks down data collection permissions into manageable segments that users can comprehend and make informed decisions about
Solution Approach 2:
The patent uses visual indicators (such as color-coded permission levels or highlighted sections) to draw users' attention to important data collection permissions. This visual enhancement helps users quickly identify and understand the significance of different permission types without requiring detailed legal knowledge
3Productivity
If AI systems automatically process and transmit sensor data, then processing efficiency is improved, but transparency of data handling deteriorates
Solution Approach 1:
The patent implements feedback mechanisms that automatically inform users about what data is being collected, how it is being processed, and where it is being transmitted. This feedback loop maintains transparency by providing real-time information about AI processing activities while preserving the efficiency of automated data handling
Solution Approach 2:
The patent enables users to self-manage their data permissions and review what information is being shared through automated dashboards. Users can independently verify data handling practices and adjust their preferences, maintaining transparency without requiring manual intervention in the automated processing pipeline
Data Source
AI summary
Methods that can provide filtered sets of sensor data are provided. One method includes generating, by a processor from a set of raw data generated by a set of sensors, a set of sensor data for a user and filtering, by the processor, the received set of sensor data based on a permission of a plurality of permissions selected by the user prior to receipt of the set of raw sensor data from the set of sensors. The method further includes automatedly providing, by the processor, the filtered set of sensor data to a set of external entities. Systems and apparatus that can include, perform, and/or implement the methods are also provided.