Array Sensor ROI Shape Adjustment for Object Detection
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Solution Overview
Problem
Existing object detection systems using image sensors rely on external processors for calculation, leading to delayed processing due to heavy load calculations and lack of efficient data compression methods optimized for specific object detection targets.
Innovation Solution
A sensor device with a signal processing unit that adjusts the shape and density of the region of interest (ROI) based on the class of object detection, optimizing data compression and processing efficiency by selectively acquiring and processing detection signals from the array sensor.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all detection elements of the array sensor are read out and processed by an external processor, then complete object detection can be performed, but processing delays occur due to heavy computational load
Solution Approach 1:
The patent segments the detection elements of the array sensor into multiple regions, with only certain regions (regions of interest) being read out and processed externally. This segmentation reduces the total data volume requiring external processing while maintaining detection accuracy for target objects, thereby resolving the contradiction between complete detection and processing speed.
Solution Approach 2:
The patent applies local quality by assigning different read-out strategies to different regions of the sensor array. Regions containing objects of interest receive higher processing priority and more detailed analysis, while other regions use reduced processing. This localized approach optimizes the balance between detection reliability and processing time by concentrating computational resources where they are most needed.
2Ease of manufacture
If a fixed rectangular ROI is used for object detection, then implementation is simple, but processing efficiency is not optimized for different object classes
Solution Approach 1:
The patent implements dynamic ROI adjustment where the region shape and size are adaptively changed based on the detected object class. Instead of using a fixed rectangular ROI, the system modifies the ROI geometry to match the characteristics of different objects (e.g., elongated shapes for vehicles, circular for pedestrians). This dynamic adaptation significantly improves processing efficiency while maintaining ease of implementation through algorithmic control.
Solution Approach 2:
The patent changes the parameters defining the ROI (shape, size, position) based on the detected object class. By adjusting these parameters dynamically according to object characteristics, the system optimizes processing efficiency for different detection scenarios while keeping the underlying implementation framework simple and unified.
Data Source
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AI summary
A sensor device includes an array sensor having a plurality of detection elements arrayed in one or two dimensional manner, a signal processing unit configured to acquire a detection signal by the array sensor and perform signal processing, and a calculation unit. The calculation unit detects an object from the detection signal by the array sensor, and gives an instruction, to the signal processing unit, on region information generated on the basis of the detection of the object as region information regarding the acquisition of the detection signal from the array sensor or the signal processing for the detection signal.