Synchronous Pulse Sensor Arrays for Low-Latency 2D Pattern Transmission
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional technologies face inefficiencies in transmitting and processing temporally coded image information, leading to delays and inaccuracies in applications such as 3D stereovision goggles and robotic grasping, due to the need for repetitive cycling and high computational resources.
Innovation Solution
The use of synchronized z pulses that integrate information via a third dimension, allowing for efficient transmission and processing without the need for temporal coding, by utilizing identical pulses that synchronize at specific frequencies and latencies across linked nodes, effectively bypassing the limitations of traditional binary coding and decoding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If conventional temporal coding methods are used to transmit image information, then information can be transmitted between locations, but transmission delays and processing latency increase due to the need for encoding, decoding, and repetitive cycling
Solution Approach 1:
The invention extracts and eliminates the temporal coding and decoding steps from the information transmission process. Instead of encoding spatial information into temporal sequences and then decoding them, the system directly transmits spatially encoded information from sensor array to processing unit, removing the source of transmission latency and processing complexity.
Solution Approach 2:
The invention changes the dimensionality of information representation by using spatial encoding across multiple sensor elements rather than temporal encoding over time. Multiple sensors simultaneously capture different spatial positions, converting temporal sequence requirements into spatial parallelism, thereby eliminating the need for repetitive cycling and decoding.
2Measurement precision
If sophisticated algorithms are used for encoding and decoding image information, then accurate image reconstruction is achieved, but computational resources and processing time increase substantially
Solution Approach 1:
The invention uses multiple sensor elements that simultaneously capture copies of the same visual scene from slightly different spatial positions. These spatial copies are directly processed without requiring complex temporal decoding algorithms, enabling fast parallel processing while maintaining accurate image reconstruction through spatial rather than temporal information.
3Reliability
If temporally coded information is repeatedly cycled through processing layers, then pattern recognition accuracy improves through feedback, but processing time and computational resources increase
Solution Approach 1:
The invention segments the information processing into simultaneous spatial operations across multiple sensor elements rather than sequential temporal operations. Each sensor element independently processes its spatial input in parallel, eliminating the need for repetitive cycling through processing layers while maintaining pattern recognition accuracy through distributed spatial computation.
Data Source
AI summary
Stimulation of sensors comprising an orthogonal x-y array, by abrupt edges or events, emits pulses that converge at nodes in serial two-dimensional (2D) arrays, which reemit rapidly if input pulses are in temporal synchrony. By gating sensors at a frequency with a wavelength between emitted pulses equal to the spatial interval between serial surfaces, identical pulses synchronize, or impedance match, repetitively at the serially repeated arrays. The pulses impedance match stimulated edges or events, as emitted one-dimensional (1D) z locations, continuously through aligned nodes in the serial 2D arrays, so that distal nodes that latently converge identical 1D z pulses become synchronous in time. This dimensional reduction of 2D arrays with synchronized 1D pulses, is a process that eliminates the coding, transmittal and decoding of information to reconstruct a 2D sensory pattern.