Adaptive Barcode Scanner Illumination for Object Detection
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Solution Overview
Problem
Conventional barcode scanning systems face inefficiencies and user frustration due to excessive illumination causing eye irritation and inefficient object detection in varying light conditions, leading to increased scanning time and power consumption.
Innovation Solution
An adaptive illumination system that adjusts illumination intensity based on environmental conditions, switching between object detection and scanning modes to optimize power usage and reduce eye strain.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the illumination source provides high intensity light during dormant mode to ensure object detection, then the object detection capability is improved, but eye irritation and energy consumption increase
Solution Approach 1:
The illumination source dynamically adjusts its intensity based on the operational mode. During dormant mode, it operates at a first intensity level sufficient for object detection, while during scanning mode, it increases to a second higher intensity level for optimal barcode reading. This dynamic adjustment resolves the contradiction by providing adequate light for detection without excessive illumination during idle periods.
Solution Approach 2:
The system changes the illumination parameter (intensity level) based on the operational state. By implementing multiple discrete intensity levels (first level for dormant mode, second level for scanning mode), the system optimizes both object detection reliability and reduces eye irritation during dormant periods while maintaining scanning performance when needed.
2Reliability
If the illumination source provides high intensity light during dormant mode to ensure object detection, then the object detection capability is improved, but energy consumption increases
Solution Approach 1:
The illumination source dynamically adjusts its intensity based on the operational mode. During dormant mode, it operates at a first intensity level sufficient for object detection, while during scanning mode, it increases to a second higher intensity level for optimal barcode reading. This dynamic adjustment resolves the contradiction by providing adequate light for detection without excessive illumination during idle periods.
Solution Approach 2:
The system changes the illumination parameter (intensity level) based on the operational state. By implementing multiple discrete intensity levels (first level for dormant mode, second level for scanning mode), the system optimizes both object detection reliability and reduces eye irritation during dormant periods while maintaining scanning performance when needed.
3Use of energy by moving object
If the illumination source provides low intensity light during dormant mode to reduce eye irritation and energy consumption, then energy efficiency is improved, but object detection efficiency decreases
Solution Approach 1:
The system changes the illumination parameter (intensity level) based on the operational state. By implementing multiple discrete intensity levels (first level for dormant mode, second level for scanning mode), the system optimizes both object detection reliability and reduces eye irritation during dormant periods while maintaining scanning performance when needed.
Solution Approach 2:
The system uses feedback from the imaging sensor to determine whether an object is present. When no object is detected during dormant mode, the system maintains the first illumination level. When an object is detected, it transitions to scanning mode with the second higher illumination level. This feedback mechanism ensures optimal energy usage while maintaining detection efficiency.
4Reliability
If the illumination source provides high intensity light in low light conditions to ensure object detection, then detection reliability is improved, but eye irritation increases
Solution Approach 1:
The illumination source dynamically adjusts its intensity based on the operational mode. During dormant mode, it operates at a first intensity level sufficient for object detection, while during scanning mode, it increases to a second higher intensity level for optimal barcode reading. This dynamic adjustment resolves the contradiction by providing adequate light for detection without excessive illumination during idle periods.
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
Enhances object detection efficiency, reduces eye irritation, and conserves energy by dynamically controlling illumination levels for effective barcode scanning across different ambient light conditions.
Implementation Method 1
an imaging sensor of the imager captures a first image frame data of the environment
Implementation Method 2
the illumination source of the adaptive illumination system is prevented from illuminating an environment
Data Source
AI summary
Systems and methods for calibrating an adaptive illumination system of an imager are presented. An example method includes causing the system to enter a calibration mode and providing a calibration illumination level from an illumination source to an environment. An imager captures one or more images of the environment. A processor determines, from the one or more images, a first illumination intensity to provide during an object detect mode operation of the system. The first illumination intensity has an illumination sufficient for detecting a presence of an object in the environment during the object detect mode. The processor stores the first illumination intensity in a memory, and configures the illumination source to provide illumination at the first illumination intensity while the adaptive illumination system is in the object detect mode, and (ii) provide illumination at a second illumination intensity while the adaptive illumination system is in a scanning mode.