Low-Power Vision Sensor for Always-On Optical Character Detection
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Solution Overview
Problem
User devices require user interaction to detect optical characters, which consumes power and resources, and high-resolution cameras for always-on detection drain battery quickly due to high power consumption.
Innovation Solution
A low-resolution, low-power vision sensor enables always-on optical character detection without user interaction, allowing the device to continuously monitor the environment and trigger a high-resolution camera to capture images of detected optical characters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a high-resolution camera is used for always-on optical character detection, then detection capability is improved, but power consumption increases
Solution Approach 1:
The system segments the detection task into two stages: first, a low-power vision sensor performs continuous monitoring to detect potential optical characters; second, a high-resolution camera is activated only when needed to capture detailed images for final recognition. This segmentation allows the system to maintain high detection capability while minimizing overall power consumption by keeping the high-resolution camera dormant most of the time.
Solution Approach 2:
A low-power vision sensor acts as an intermediary between the environment and the high-resolution camera. This intermediary continuously monitors for optical characters and triggers the camera only when detection is warranted, thereby reducing the camera's active time and power consumption while maintaining effective detection coverage.
2Productivity
If continuous monitoring is implemented without user interaction, then detection efficiency is improved, but power consumption increases
Solution Approach 1:
The continuous monitoring function is segmented between two components: a low-power vision sensor that operates continuously to maintain detection efficiency, and a high-resolution camera that activates only intermittently to perform actual character capture. This segmentation enables continuous monitoring capability while managing battery power consumption through selective activation of the higher-power component.
Solution Approach 2:
The vision sensor performs self-service by autonomously monitoring for optical characters and triggering camera activation without requiring user input. This automated operation improves detection efficiency by eliminating delays associated with user interaction, while the system manages power consumption by using the low-power sensor for the bulk of the monitoring task.
3Use of energy by moving object
If a low-power vision sensor is used for continuous detection, then power consumption is reduced, but detection precision may be compromised
Solution Approach 1:
The detection process is segmented into two phases with different precision requirements: initial detection by the low-power vision sensor that identifies potential optical character locations, and detailed capture by the high-resolution camera that ensures recognition accuracy. This segmentation allows the system to use lower precision sensing for the majority of the time while maintaining high precision when needed.
Solution Approach 2:
The low-power vision sensor serves as an intermediary that performs preliminary detection and filtering, identifying candidate regions containing optical characters. This intermediary then triggers the high-resolution camera to capture only those specific regions, ensuring that the final recognition accuracy is maintained while the bulk of the monitoring is performed by the lower-power sensor.
Data Source
AI summary
Various aspects of the present disclosure generally relate to optical character detection. In some aspects, a user device may receive, from a vision sensor, a first image that is associated with a first optical character image. The user device may determine, using an image processing model, that the first image depicts the first optical character image. The user device may cause, based at least in part on determining that the first image depicts the first optical character image, a camera to capture a second image that is associated with a second optical character image. The user device may perform an action associated with the second image. Numerous other aspects are provided.