Co-bore-sighted Camera System for Machine Vision Data Segmentation
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Solution Overview
Problem
Surveillance cameras generate large amounts of image data that exceed the processing and storage capabilities of human operators, leading to incomplete analysis due to limitations in bandwidth, storage, and the operator's ability to review all data, resulting in missed opportunities for identifying subjects of interest.
Innovation Solution
The implementation of a camera system with co-bore sighted cameras and a processor that generates multiple image data feeds with different features, where a lower-resolution feed is transmitted to human operators and a higher-resolution feed with additional features is sent to a machine vision analyzer for automated analysis using feature identification rules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If human operators review all surveillance image data, then analysis completeness is improved, but processing time and operational capacity are exceeded
Solution Approach 1:
The system segments the image data into multiple feeds with different resolutions and features. A first image data feed includes lower-resolution data for human operator review, while a second image data feed includes higher-resolution data with additional features for machine vision analysis. This segmentation allows both human and machine systems to process data simultaneously without overwhelming either component.
Solution Approach 2:
The system introduces machine vision analysis as an intermediary between the camera and human operator. The machine vision analyzer processes the second image data feed to identify subjects of interest, generating alerts that can then be reviewed by human operators. This intermediary handles the bulk of the processing workload, freeing human operators to focus on critical review tasks.
2Measurement precision
If higher-resolution image data is transmitted to human operators, then identification accuracy is improved, but bandwidth and storage requirements increase
Solution Approach 1:
The system divides the image data into two distinct segments: a first image data feed with lower resolution for human review and a second image data feed with higher resolution for machine analysis. This segmentation ensures that human operators receive manageable data volumes while machine systems receive the high-resolution data needed for accurate identification.
Solution Approach 2:
The system creates multiple copies of the image data with different characteristics. Instead of transmitting a single high-resolution feed, the system generates a lower-resolution copy for human operators and a high-resolution copy with additional features for machine vision analysis, allowing both systems to access the data they need without overwhelming bandwidth or storage resources.
3Adaptability or versatility
If multiple image data feeds with different features are generated, then analysis comprehensiveness is improved, but device complexity increases
Solution Approach 1:
The camera system is designed to generate multiple types of image data feeds simultaneously using the same hardware. The processor creates both the first image data feed for human review and the second image data feed for machine analysis from the same captured images, allowing a single camera system to serve multiple analysis functions without requiring separate camera systems for each purpose.
Data Source
AI summary
Example camera apparatus for generating machine vision data and related methods are disclosed herein. An example apparatus disclosed herein includes a first camera coupled to a movable turret and a second camera coupled to the movable turret. The first camera and the second camera are co-bore sighted. The first camera and the second camera are to generate image data of an environment. The example apparatus includes a processor in communication with at least one of the first camera or the second camera. The processor is to generate a first image data feed and a second image data feed based on the image data. The first image data feed includes a first image data feature and the second image data feed includes a second image data feature different than the first image data feature. The processor is to transmit the second image data feed for analysis by a machine vision analyzer.