Imaging Task Visualization for Multi-Core Processor Jitter Detection
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Solution Overview
Problem
Existing methods and systems fail to provide effective management of processor workflows for image data processing, leading to increased component temperatures, overworked processors, decreased processing speeds, and inability to anticipate unexpected events such as jitter in processing time.
Innovation Solution
Implementing a system that provides visualizations of inspection cycles of core processors, including graphical representations of tasks executed on image data, allowing for identification of unexpected events and optimizing workload distribution across multiple cores.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple imaging devices connect to a processor, then the system functionality and processing capacity increase, but the processor workload increases leading to overwork and increased temperatures
Solution Approach 1:
The patent segments the processor workload by dividing image data processing into multiple inspection cycles, each handled by different cores or processing units. This segmentation allows parallel processing of image data from multiple imaging devices, distributing the thermal load across multiple components rather than concentrating it in a single processor, thereby reducing overall component temperatures while maintaining system functionality.
2Productivity
If processor workload increases to handle more imaging devices, then processing capacity increases, but processing speeds decrease due to overwork
Solution Approach 1:
The patent implements segmentation by dividing the processor into multiple cores that can independently execute inspection cycles. Each core can process image data from different imaging devices simultaneously, maintaining high processing speeds while increasing overall processing capacity. This parallel execution architecture prevents any single core from becoming overloaded.
Solution Approach 2:
The patent employs dynamic workload distribution where the system can adaptively assign inspection cycles to different cores based on current processing conditions. This dynamic allocation ensures optimal utilization of processing resources, maintaining high processing speeds even as the number of imaging devices increases.
3Measurement precision
If inspection duration increases to analyze more tasks, then measurement precision improves, but loss of time increases
Solution Approach 1:
The patent segments the inspection process into multiple independent inspection cycles, where each cycle focuses on specific tasks or image data subsets. This segmentation allows for thorough inspection of each segment (maintaining measurement precision) while enabling parallel execution of multiple cycles (reducing total inspection time).
Solution Approach 2:
The patent implements continuous inspection cycles that can run in parallel across multiple cores without interruption. This continuous parallel execution maintains high inspection accuracy for each cycle while minimizing total time loss through efficient resource utilization and overlapping execution of multiple inspection sequences.
4Reliability
If the system monitors all processor activities in detail, then reliability of event detection improves, but device complexity increases
Solution Approach 1:
The patent segments monitoring activities into specific inspection cycles that focus on particular tasks or performance metrics. Each inspection cycle monitors a defined subset of processor activities, ensuring reliable detection of unexpected events within that scope while avoiding the need for comprehensive monitoring of all processor operations, thus managing system complexity.
Data Source
AI summary
Systems, methods, and media are described herein for providing one or more visualizations corresponding to one or more tasks executed by a core processor on image data from one or more imaging devices (e.g., a camera). For example, an inspection cycle of the core processor can be initiated for determining or identifying unexpected events associated with the tasks of the core processor. Each inspection cycle may correspond to a particular imaging device. In some embodiments, an inspection cycle includes inspections of a grabbing task, a pre-processing task, a processing task, an idle period, another type of task, or one or more combinations thereof. A visualization that includes the unexpected event and the inspection cycle is provided for display on a user interface. In some embodiments, the visualization includes a standard error bar for the pre-processing task, processing task, idle period, or one or more combinations thereof.