Bi-Optic Reader Platters with Optical Redirection for Expanded FOV Detection
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Solution Overview
Problem
Existing barcode reading systems fail to capture images of objects fully within their field of view, leading to frustration and potential malicious actions, and traditional solutions increase system complexity, power usage, and resource costs.
Innovation Solution
An imaging system with a redirection element that redirects portions of the field of view to capture additional image data, allowing separate pipelines for different vision operations, including scan avoidance and object detection, without adding sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the field of view is expanded to cover the entire platter area, then object detection capability is improved, but device complexity increases
Solution Approach 1:
The field of view is divided into two segments: a first field of view for standard barcode reading and a second field of view for platter edge detection. The imaging assembly captures both fields simultaneously, with the processor separating and independently analyzing each segment. This segmentation allows comprehensive monitoring without requiring additional sensors or complex hardware modifications.
Solution Approach 2:
The existing imaging assembly is made multi-functional by configuring it to capture both the standard first field of view for barcode reading and the extended second field of view for platter edge detection. This universal approach allows a single component to perform multiple functions, avoiding the need for additional sensors and reducing system complexity.
2Reliability
If additional sensors are added to monitor the entire platter area, then scan avoidance detection is improved, but power consumption increases
Solution Approach 1:
The existing imaging assembly is made multi-functional by configuring it to capture both the standard first field of view for barcode reading and the extended second field of view for platter edge detection. This universal approach allows a single component to perform multiple functions, avoiding the need for additional sensors and reducing system complexity.
Solution Approach 2:
The imaging assembly serves itself by simultaneously capturing both barcode data and platter edge position data without requiring separate dedicated sensors. The processor independently processes the second field of view data to detect platter edges and coordinate with the first field of view data, allowing the system to monitor the entire platter area using existing resources.
3Reliability
If the field of view is expanded to prevent malicious actions, then system reliability is improved, but resource costs increase
Solution Approach 1:
The field of view is divided into two segments: a first field of view for standard barcode reading and a second field of view for platter edge detection. The imaging assembly captures both fields simultaneously, with the processor separating and independently analyzing each segment. This segmentation allows comprehensive monitoring without requiring additional sensors or complex hardware modifications.
Solution Approach 2:
The imaging assembly serves itself by simultaneously capturing both barcode data and platter edge position data without requiring separate dedicated sensors. The processor independently processes the second field of view data to detect platter edges and coordinate with the first field of view data, allowing the system to monitor the entire platter area using existing resources.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively expands the field of view without increasing power consumption or complexity, enabling efficient detection of objects outside the standard view and preventing scan avoidance attempts.
Implementation Method 1
a redirection element disposed with a path of a portion of the FOV such that the redirection element redirects the portion of the FOV to pass through the platter
Implementation Method 2
an imaging assembly configured to capture image data of an environment appearing in a field of view (FOV)
Data Source
AI summary
Imaging systems for imaging or scanning objects by redirecting portions of a field of view (FOV) are described herein. An example imaging system includes: an imaging assembly; a platter including a redirection element; and a computer-readable media storing machine readable instructions that cause the imaging system to: capture the image data in the FOV, wherein a first subset of pixels captures a first subset of the image data associated with a first portion of the FOV not redirected by the redirection element, and a second subset of pixels captures a second subset of the image data associated with a redirected portion of the FOV redirected by the redirection element; process the first subset of image data via a first module to perform a first vision operation; and process the second subset of image data via a second module to perform a second vision operation.