Pool Cleaning Robot Visual Data Authorization for Privacy Compliance
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Solution Overview
Problem
There is a growing need to protect personal data acquired by pool cleaning robots, particularly in compliance with regulations like GDPR and CCPA, due to the potential capture of images of individuals by cameras on these devices, which requires efficient data protection measures.
Innovation Solution
The solution involves using a digital signal conversion system for communication between pool cleaning robots and external devices, enabling secure data transfer and storage, with features like automatic camera shutdown during unauthorized presence, encryption, and controlled data upload to cloud services, ensuring compliance with privacy regulations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If cameras on pool cleaning robots capture visual information for navigation, then navigation capability is improved, but personal data protection is worsened
Solution Approach 1:
The patent extracts and separates personal data from general visual navigation data by implementing specific detection mechanisms that identify when persons are present in captured images. The system then applies different handling rules to personal data versus other visual data, storing personal data in secured memory locations and requiring authorization for access or transmission, while maintaining normal navigation operations.
Solution Approach 2:
The patent introduces an intermediary authorization system that mediates between the camera's data capture function and external data access. This intermediary layer includes authorization checks, encrypted storage, and controlled transmission protocols that allow navigation data to be captured while preventing unauthorized access to personal data contained within.
2Reliability
If visual information is continuously captured for navigation and monitoring, then operational reliability is improved, but data security risks are worsened
Solution Approach 1:
The patent applies different quality measures to different portions of captured data by implementing local encryption and selective storage. Personal data identified within the visual information is marked and stored with enhanced security measures (encrypted, authorized access only), while non-personal navigation data is stored with standard protocols, thus maintaining operational reliability while mitigating security risks for sensitive information.
Solution Approach 2:
The patent performs preliminary classification and marking of personal data during the capture phase. The system detects and flags personal data as it is being captured, applying security metadata and encryption keys in advance before the data leaves the device. This preliminary action ensures that security measures are already in place when data is stored or transmitted, reducing security risks without affecting operational continuity.
3Adaptability or versatility
If captured data is transmitted to external devices or cloud services for processing, then functionality and user access are improved, but compliance with privacy regulations is worsened
Solution Approach 1:
The patent implements dynamic data transmission controls that adjust data sharing behavior based on authorization status and data type. The system dynamically evaluates each data transmission request, checking whether the data contains personal information and whether proper authorization exists. Personal data is transmitted only when authorized and with enhanced protection measures, while non-personal data can be shared more freely, thus maintaining regulatory compliance while preserving necessary functionality.
Solution Approach 2:
The patent changes key parameters of data transmission based on data classification. Personal data transmitted to external devices or cloud services undergoes parameter changes including encryption, anonymization where possible, and restricted access controls. The transmission protocol itself is modified to include authorization verification and secure channels, ensuring that even though data accessibility is improved, regulatory compliance is maintained through these parameter modifications.
Data Source
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AI summary
A method for controlling a distribution of personal data generated by a pool cleaning robot, the method may include acquiring, by the pool cleaning robot, visual information that potentially comprises personal data; determining, by the pool cleaning robot, whether the pool cleaning robot received an authorization to output the visual information from the pool cleaning robot; and outputting the visual information from the pool cleaning robot only after receiving the authorization to output the visual information.