PLD Image Engine Preprocessing for Low Power Tagging
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing electronic systems face significant power consumption challenges when performing image processing tasks, particularly in portable devices, due to the need for primary controllers to handle unsuitable raw imagery, which limits operational flexibility and efficiency.
Innovation Solution
Implementing a low power image processing engine within a programmable logic device (PLD) that preprocesses imagery at an engine-quality level suitable for image tagging, reducing the reliance on primary controllers and enabling efficient operation across various power states, including sleep modes, using a trained image engine that mimics unfavorable image capture conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a primary controller processes raw imagery to enable image tagging, then image tagging capability is achieved, but power consumption increases significantly
Solution Approach 1:
The system divides image processing into two segments: a low-power PLD-based image engine that performs preliminary processing and tagging on raw imagery, and a primary controller that only activates when needed for complex tasks. This segmentation allows image tagging to occur without continuously powering the high-consumption primary controller.
Solution Approach 2:
A PLD-based image engine acts as an intermediary between the camera sensor and the primary controller. It receives raw imagery, performs preprocessing and tagging operations, and only communicates with the primary controller when intervention is needed, thereby reducing the primary controller's power consumption while maintaining image tagging functionality.
2Adaptability or versatility
If the primary controller is powered on for image processing, then sophisticated imagery-based features are enabled, but operational flexibility is limited due to power draw
Solution Approach 1:
The system dynamically manages power states of different components. The PLD-based image engine operates continuously in a low-power state to handle basic imagery tasks, while the primary controller transitions between sleep and active states based on processing needs. This dynamic power management enables sophisticated imagery features while adapting power consumption to actual operational requirements.
3Measurement precision
If human-quality processing resources are used, then high-quality image processing is achieved, but power consumption increases
Solution Approach 1:
The system applies different processing qualities to different aspects of image handling. The PLD-based image engine performs sufficient preprocessing and tagging at a lower quality level appropriate for its function, while reserving high-quality human-level processing for specific tasks that require it. This local quality approach ensures adequate image processing capability without the continuous power consumption of full human-quality processing resources.
Data Source
AI summary
Systems and methods for controlling the operation of an electronic system are disclosed. An example electronic system includes an edge PLD including programmable logic blocks (PLBs) configured to implement an image engine preprocessor and an image engine. The edge PLD is configured to receive raw imagery provided by an imaging module of the electronic system via a raw image pathway of the electronic system; to generate, via the image engine preprocessor, engine-quality imagery corresponding to the received raw imagery; and to generate, via the image engine of the edge PLD, one or more image tags associated with the generated engine-quality imagery. The one or more image tags and/or the associated engine-quality imagery is used to control operation of the electronic system.