Sensor System Transcoding Data via Tunable Mapping Functions
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional sensors are limited in capturing multiple types of data due to spatial and cost constraints, often unable to record all desired data types simultaneously, such as video and audio or textual data, necessitating a method to transcend data from one type to another.
Innovation Solution
A processor-based system that determines and adjusts tunable parameters of a mapping function to transcode preliminary type data into desired type data by comparing and refining outputs to achieve closer alignment with desired data samples, effectively acting as a virtual sensor to produce desired type data outputs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple specialized sensors are used to capture different data types, then data capture capability is improved, but device complexity and cost increase
Solution Approach 1:
The patent applies universality by enabling a single sensor system to perform multiple data type capture functions. The system uses one or more sensors to capture preliminary data that is then transcoded into multiple different data types (e.g., audio, visual, depth, semantic data) through processing by the processor, eliminating the need for multiple specialized sensors while achieving multi-functional data capture capability
Solution Approach 2:
The patent introduces an intermediary processing system that acts as a mediator between the single sensor and multiple data types. The processor serves as an intermediary that receives preliminary data from the sensor and transforms it into various desired data types through mapping functions and transcoding operations, thereby enabling one sensor to effectively serve multiple data capture purposes
2Adaptability or versatility
If multiple specialized sensors are used to capture different data types, then data capture capability is improved, but cost increases
Solution Approach 1:
The patent reduces cost by implementing a universal sensor system that can capture multiple data types through software processing rather than requiring multiple expensive specialized sensors. The single sensor combined with the processor's transcoding capability provides a cost-effective alternative to deploying several specialized sensing devices simultaneously
Solution Approach 2:
The patent creates copies of data representations through transcoding. Instead of capturing actual multiple types of data with multiple sensors, the system captures one type of preliminary data and creates multiple copies or representations of that data in different formats (audio, visual, depth, semantic), achieving the effect of multiple sensors through data transformation rather than physical duplication
3Device complexity
If a single sensor is used to capture preliminary data, then device complexity is reduced, but data type versatility deteriorates
Solution Approach 1:
The patent replaces the mechanical approach of using multiple physical sensors with a computational approach. Instead of mechanically deploying multiple sensing devices, the system uses software-based mapping functions and processing algorithms to transform single-sensor preliminary data into multiple data types, substituting physical complexity with computational versatility
Solution Approach 2:
The patent achieves data type versatility through parameter changes in the data representation rather than changes in the physical sensing system. The processor adjusts parameters such as mapping functions, encoding formats, and data transformation parameters to convert preliminary data into various desired data types, maintaining simple hardware while achieving diverse output through parameter variation
Data Source
AI summary
A sensor system may comprise a sensor; a processor in electronic communication with the sensor; and/or a tangible, non-transitory memory configured to communicate with the processor, the tangible, non-transitory memory having instructions stored thereon that, in response to execution by the processor, cause the processor to perform operations. The operations may comprise recording, by the sensor, a preliminary type data sample; and/or applying, by the processor, a mapping function having a plurality of tuned parameters to the preliminary type data sample, producing a desired type data output.