Line Array Camera Motion Detection System
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Solution Overview
Problem
Current motion detection systems rely on two-dimensional video cameras or low pixel count arrays, which are costly, invasive, and prone to false alarms, and often require advanced analytics to identify moving objects, while line array cameras struggle with image generation and accuracy in detecting object size and velocity.
Innovation Solution
A method and system using two line array cameras with one-dimensional pixel arrays to capture primary and secondary data sets, allowing for the detection of objects in relative motion by determining variations within and between data sets, and calculating object size and distance based on the selected distance between the cameras, with the option to activate an alarm for objects within a specified size range.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If two-dimensional video cameras are used for motion detection, then detection capability is improved, but cost increases and privacy concerns arise
Solution Approach 1:
The patent divides the two-dimensional detection task into multiple one-dimensional line array camera sensors arranged in a specific geometric pattern. Each line array camera captures data from a specific direction, and the combined data from multiple segmented sensors reconstructs the motion detection capability equivalent to or exceeding two-dimensional cameras, while using lower-cost, less intrusive components
Solution Approach 2:
The patent transitions from two-dimensional video camera detection to a multi-dimensional arrangement of one-dimensional line array cameras. By positioning multiple line arrays at different locations and orientations (creating spatial dimensionality), the system achieves comprehensive motion detection coverage that compensates for the lower dimensionality of individual sensors
2Device complexity
If low pixel count arrays are used for motion detection, then cost is reduced, but false alarm rate increases and image generation capability is poor
Solution Approach 1:
The patent combines data from multiple low-pixel-count line array cameras positioned at different locations. By merging the detection data from these multiple sensors and analyzing variations between them, the system achieves higher detection reliability and lower false alarm rates than any single low-pixel array could provide alone
Solution Approach 2:
The system uses feedback from multiple line array sensors to verify motion detection events. By cross-checking detections across multiple sensors and requiring consistent variations in the expected pattern, the system reduces false alarms while maintaining low cost
3Manufacturing precision
If line array cameras are used for quality control inspection, then manufacturing precision is improved, but image generation capability is insufficient
Solution Approach 1:
The patent extracts only the essential measurement information needed for quality control from the line array camera data, rather than attempting to generate complete images. By focusing on detecting variations in the one-dimensional data patterns and calculating deviations from expected positions, the system achieves high manufacturing precision without the computational burden of image generation
Data Source
Figure 1A~1E
Figure 2A
Figure 2B
AI summary
A method of monitoring an object in relative motion is provided. The method comprising: capturing one or more primary data sets within a first field of view using a first line array camera having a first one-dimensional array of pixels, each primary data set being a one-dimensional output from the first one-dimensional array of pixels at a point in time; determining that an object in relative motion with the first line array camera is within the first field of view in response to at least one of variations within each primary data set and variations between each primary data set; and determining a first point in time when the object has entered the first field of view.