Unified Multi-Sensor Apparatus for Stereo Tracking and High-Resolution Imaging
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Solution Overview
Problem
Existing surveillance and security systems require multiple discrete sensor systems for capturing different types of data, leading to increased cost, complexity, and the inability to merge data outputs for enhanced intelligence.
Innovation Solution
A unified multi-sensor apparatus with integrated software that combines data from multiple lenses, such as disparity-based stereo image sensors and high-resolution cameras, to produce a unified data output, enabling advanced analytics like object tracking and behavior metrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple discrete sensor systems are used to capture different types of data, then measurement precision and data quality are improved, but device complexity and installation cost increase
Solution Approach 1:
The patent combines multiple discrete sensor systems (stereo cameras for 3D tracking and high-resolution cameras for detailed imaging) into a single integrated multi-sensor apparatus. This merging maintains the ability to capture both three-dimensional tracking data and high-resolution images while reducing the number of separate systems required, thereby decreasing installation complexity and cost while preserving measurement precision.
Solution Approach 2:
The integrated multi-sensor apparatus is designed to perform multiple functions simultaneously: capturing stereo images for object tracking, capturing high-resolution images for detailed analysis, and providing both types of data through unified access. This multi-functional design eliminates the need for separate discrete systems while maintaining all required measurement capabilities.
2Measurement precision
If multiple discrete sensor systems are used, then data quality is improved, but installation and operational cost increase
Solution Approach 1:
By merging multiple sensor systems into a single integrated apparatus, the patent reduces the number of separate installation processes required. The unified system requires only one installation location and one calibration process, thereby reducing installation and operational costs while maintaining the ability to capture high-quality stereo and high-resolution data.
Solution Approach 2:
The integrated system provides multiple data types (stereo tracking data and high-resolution images) through a single installation, eliminating the need for multiple separate installations. This universal approach reduces both initial installation costs and ongoing operational costs while preserving all measurement capabilities.
3Loss of information
If multiple discrete sensor systems are used, then data completeness is improved, but the ability to merge data outputs deteriorates
Solution Approach 1:
The integrated multi-sensor apparatus merges the data output capabilities at the system level rather than requiring post-processing integration of separate systems. The apparatus provides unified access to both stereo tracking data and high-resolution images through a single interface, making it easy to correlate and use both data types together without manual comparison or complex integration processes.
4Measurement precision
If discrete sensor systems are used, then specialized functionality is improved, but productivity and efficiency deteriorate
Solution Approach 1:
The patent integrates multiple sensor systems into a single apparatus that can capture and process both stereo and high-resolution data simultaneously. This merging enables efficient processing of multiple data types through a unified system rather than requiring separate processing pipelines, thereby improving productivity while maintaining specialized functionality for both tracking and detailed imaging.
Data Source
AI summary
Aspects of the present disclosure generally relate to multi-sensor apparatuses and methods for using the same. In one embodiment, the present disclosure relates to an integrated multi-lens video platform with integrated software for collecting data from each lens and merging the same into a unified data output. According to one aspect, the present apparatus comprises a single integrated unit comprising two disparity-based stereo image sensors (e.g., cameras) for capturing stereo image data (e.g., relating to three-dimensional images and object-tracking) and a single high resolution sensor (e.g., camera) for capturing high resolution and/or color data. Thus, generally, one aspect of the present platform includes three (3) cameras—two cameras directed to stereo vision capabilities, and a third camera directed to high resolution uses. In other embodiments, other camera configurations, numbers, and arrangements are possible as will occur to one of ordinary skill in the art.