Prediction Model Scene Comparison for Faster Boundary Detection
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Solution Overview
Problem
Existing technologies face challenges in efficiently processing, analyzing, and storing captured scenes of an environment, particularly in reducing processing time and data volume for real-time applications.
Innovation Solution
The system employs prediction models to compress information by comparing predicted scenes with observed scenes, allowing for reduced processing time and efficient storage and transmission of data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If prediction models are used to compress information by comparing predicted scenes with observed scenes, then processing time is reduced and data storage efficiency is improved, but measurement precision of object boundaries may deteriorate
Solution Approach 1:
The patent applies mechanical vibration by vibrating physical objects in the environment to induce detectable movements. Sensors capture these vibrations to identify object boundaries, locations, and relationships. The vibration causes objects to move in characteristic patterns that reveal their boundaries and spatial relationships, enabling precise detection without requiring extensive image processing or compression.
2Measurement precision
If vibration stimuli are applied to objects to induce movement for detection, then object boundary detection precision is improved, but device complexity increases
Solution Approach 1:
The system employs multi-functional components that can both apply vibration stimuli and detect the resulting movements. Sensors serve dual purposes by capturing both the vibration-induced movements for boundary detection and the ambient acoustic signals for environmental monitoring. This universal approach reduces the need for separate dedicated components, thereby lowering overall system complexity while maintaining high detection precision.
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
This approach reduces processing time by relying on predicted scenes, enables efficient storage and transmission of data through compression, and improves machine vision detection of object boundaries by vibrating objects and detecting induced vibrations.
Implementation Method 1
determining a stimuli force to be applied on the one or more physical objects; applying, using one or more computer-controlled components, the stimuli force to the one or more physical objects of the environment; the observed second scene captures induced movement of objects within the environment produced by the stimuli force
Implementation Method 2
the stimuli force is a vibration force; the vibration force is an ultrasonic vibration force; a frequency of the vibration force is in a range between 20 KHz-1500 GHz
Implementation Method 3
obtaining an observed second scene of the environment under the stimuli force from the one or more sensors; the observed second scene captures induced vibration of objects within the environment produced by the vibration stimuli force
Data Source
AI summary
A method, system and product for utilizing prediction models of an environment. In one embodiment, using a model of an environment and based on a first scene of the environment, a predicted second scene of the environment is predicted. An observed second scene is obtained and compared to the predicted second scene. Based on the comparison between the predicted second scene and the observed second scene, an action is performed.