Wireless Beacon Location System for Privacy-Safe Worker Tracking
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Solution Overview
Problem
Current personal identification systems in manufacturing industries, relying on facial recognition technology, raise privacy concerns and are invasive, as they capture anyone within the camera's field of view, making it difficult to opt out.
Innovation Solution
A location system using sensors and wireless beacons that associate detected targets with identifiers based on distance relationships, eliminating the need for facial recognition by using camera-independent data processing and wireless media transmission, allowing for personal localization without invasive methods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If facial recognition technology is used for personal identification, then personal productivity measurement is enabled, but privacy concerns arise and the system becomes invasive
Solution Approach 1:
The patent extracts the identification function from facial recognition and relocates it to wireless beacon devices carried by workers. Only the necessary identification capability is retained, while the invasive camera-based facial capture is completely removed, allowing productivity tracking without compromising privacy
Solution Approach 2:
Wireless beacon devices serve as intermediaries between workers and the productivity measurement system. These portable devices carry identification information and communicate with receivers, enabling indirect identification that respects worker privacy while still allowing accurate productivity measurement
2Ease of operation
If camera-based optical images are used to identify people, then personal identification is achieved, but all individuals in the field of view are captured making opt-out difficult
Solution Approach 1:
Workers actively carry and control their own wireless beacon devices, which automatically provide identification when needed. This self-service approach gives workers full control over their participation - they simply need to carry their device to be identified, and can opt-out by removing the device, eliminating the forced capture problem of camera systems
Solution Approach 2:
Instead of the system actively capturing and identifying people in its field of view, the identification system passively receives signals from portable beacons carried by workers. This inversion transforms the system from an intrusive observer to a responsive receiver, fundamentally changing the power dynamic and enabling worker control
3Object-affected harmful factors
If wireless beacon devices are used for identification, then privacy is protected through opt-in capability, but additional hardware devices are required
Solution Approach 1:
The wireless beacon devices serve multiple functions: they provide personal identification, enable location tracking, and facilitate productivity measurement. This multi-functionality consolidates what could be separate complex systems into a single portable device that workers already carry or can easily obtain
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate personal localization and productivity analysis without privacy concerns, as individuals can opt-in to the system using wireless beacons, providing a non-invasive means to track worker productivity.
Implementation Method 1
a transmitter configured to transmit wireless media and a receiver configured to receive wireless media
Data Source
AI summary
Example implementations involve a location system, which can involve associating each location of one or more unidentified targets detected from sensor data of the one or more sensors with identifiers corresponding to the transmitter of each of the one or more pairs of electronic devices, by calculating first distance relationships indicative of relationships of distances between the each location of the one or more unidentified targets detected from the sensor data of the one or more sensors and a reference point; calculating second distance relationships indicative of relationships of distances between the transmitter and the receiver of each of the one or more pairs of electronic devices; and associating the identifiers corresponding to the transmitter of the each of the one or more pairs of electronic devices with the each location of the one or more unidentified targets based on the first distance relationships and the second distance relationships.