Image Processor Combining Multi-Camera Views for Human and Machine Consumers
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The challenge lies in combining images from multiple cameras with different perspectives into a single, manageable image for human or machine processing, while avoiding excessive complexity due to metadata inclusion, particularly in surveillance scenarios where a subject may be partially hidden from view.
Innovation Solution
An image processor receives images from multiple cameras, determines the intended recipient (human or machine), and combines relevant image elements and metadata accordingly, including only a subset of metadata for human viewing to prevent image overload and focusing on critical elements like faces and weapons.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple images with metadata are combined into a single image for human viewing, then the comprehensive view of the scene is improved, but the image becomes excessively large and complex making it hard to process and transmit
Solution Approach 1:
The patent extracts and separates metadata from the image data, creating a streamlined image for human viewing that contains only essential visual information while storing complete metadata separately for machine processing. This extraction resolves the contradiction by removing unnecessary complexity from the visual presentation while preserving comprehensive scene information in an accessible format.
Solution Approach 2:
The patent segments the combined image output into two distinct components: a simplified image portion optimized for human viewing and a separate metadata portion containing all data for machine processing. This segmentation allows each component to be optimized independently, preventing the image from becoming excessively complex while maintaining comprehensive information availability.
2Measurement precision
If all metadata from multiple images is included in the combined image, then machine processing accuracy is improved, but the image becomes overly complex and difficult for human review
Solution Approach 1:
The patent extracts metadata from the image stream and handles it separately from the visual image data. This allows machine processing accuracy to be maintained through complete metadata availability while human reviewers interact with a simplified, metadata-free image that is easy to review and interpret.
Solution Approach 2:
The patent introduces an intermediary processing layer that separates and manages metadata independently from the image visualization. This intermediary structure enables both human and machine consumers to access information appropriately - humans see cleaned-up images while machines receive complete metadata - without either group encountering unnecessary complexity.
3Measurement precision
If images from multiple cameras are combined to provide different perspectives, then the accuracy of scene understanding is improved, but the image size and transmission requirements increase
Solution Approach 1:
The patent extracts perspective information and metadata from the combined image data, allowing the visual image to be optimized for human viewing with reduced size while preserving comprehensive scene understanding capabilities through separate metadata storage and retrieval mechanisms.
Data Source
AI summary
An image processor provides a combined image of an object from first and second cameras. The image processor receives a first image from a first camera and a second image from a second camera. The first and second images each include a field of view and metadata associated with the image. The image processor determines whether a combined image of the first and second images will be viewed by a person or a machine. If the combined image is to be processed by a machine, the first and second metadata are included with the combined image and sent to the machine. If the combined image is to be viewed by a person, the combined image includes a subset of the metadata so that the image is not too large or too cluttered.