Dynamic Resolution Image Acquisition for Animal Tracking
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Solution Overview
Problem
Current body part tracking technologies face a trade-off between image resolution and frame rate due to limited data bandwidth, leading to increased latency and power consumption, as high-resolution images require more processing capacity and data transmission.
Innovation Solution
A system and method that dynamically acquire image segments at different resolutions, where critical body parts like eyes are captured at high resolution and less critical areas like faces are captured at lower resolution, reducing data bandwidth and latency while maintaining tracking accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high resolution images are used to improve tracking accuracy, then measurement precision is improved, but data bandwidth requirements increase and frame rate is limited
Solution Approach 1:
The image is divided into multiple segments, with each segment processed at different resolutions. Critical body parts (eyes) are processed at high resolution while less critical areas (face) are processed at lower resolution, thereby reducing overall data bandwidth requirements while maintaining tracking accuracy for important features
Solution Approach 2:
Different regions of the image are assigned different quality levels (resolutions). The patent applies high resolution locally to critical body parts where tracking accuracy is most important, while using lower resolution for less critical areas, optimizing the trade-off between accuracy and data bandwidth
2Measurement precision
If high resolution images are used to improve tracking accuracy, then measurement precision is improved, but power consumption increases
Solution Approach 1:
The image processing is segmented into multiple resolution levels for different body parts. By processing only critical regions at high resolution and less critical regions at lower resolution, the system reduces total computational load and power consumption while maintaining necessary tracking accuracy
Solution Approach 2:
The system applies high computational quality locally only where needed (critical body parts) and uses lower computational quality for less critical areas, thereby reducing overall power consumption while preserving tracking accuracy for important features
3Measurement precision
If high resolution images are used to improve tracking accuracy, then measurement precision is improved, but readout time increases and latency is increased
Solution Approach 1:
The image readout is segmented into multiple resolution levels for different body parts. By reading out critical body parts at high resolution and less critical areas at lower resolution simultaneously, the system reduces total readout time and latency while maintaining tracking accuracy for important features
Solution Approach 2:
The system reads out different regions of the image at different resolutions simultaneously, applying high resolution locally only to critical body parts. This approach reduces the total time required to process the image compared to reading out the entire image at high resolution, thereby reducing latency
Data Source
AI summary
A system for tracking a body part of an animal, the system comprising: an image sensor; and a controller in communication with the image sensor; wherein the controller is configured to obtain from the image sensor first and second image segments acquired by the image sensor at the same time; wherein the first image segment is acquired by the image sensor at a first resolution and the second image segment is acquired by the image sensor at a second resolution; wherein the first image segment is smaller than the full sensor image size corresponding to the full field of view of the image sensor, and has a location and size corresponding to the image of the body part within the field of view in the image plane of the image sensor; wherein the first resolution is higher than the second resolution.