Automated Survey Counting via Image Analysis
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Solution Overview
Problem
Existing survey methods require manual counting of raised hands, which is time-consuming and prone to errors, especially in large audiences, and do not provide real-time automated results generation.
Innovation Solution
A system comprising a processor and memory that captures images of an audience, processes them to determine a survey count by identifying raised hands, and adjusts the count based on discrepancies using image processing and authentication components, enabling automated and accurate survey result generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual counting of raised hands is used, then survey results can be obtained, but the process is time-consuming and prone to errors
Solution Approach 1:
The patent replaces the manual mechanical counting process with an automated image processing system using computers and software algorithms to detect and count raised hands in images, eliminating the need for manual intervention and significantly reducing processing time while improving accuracy
Solution Approach 2:
The system enables self-service by automatically capturing images, processing them through image analysis algorithms, and generating survey results without requiring human operators to manually count each raised hand, allowing the system to serve itself in completing the survey counting task
2Productivity
If automated image processing is implemented, then real-time survey results are generated, but system complexity increases
Solution Approach 1:
The patent applies multi-functionality by using a single integrated system that performs multiple tasks: capturing images, processing images, detecting raised hands, counting surveys, and generating results, thereby achieving high productivity without proportionally increasing complexity through specialized separate components
Solution Approach 2:
The system uses digital copies of visual information from captured images to perform analysis and counting, replacing the need for physical manual inspection and enabling automated processing while maintaining simplicity through software-based operations on digital data
3Reliability
If manual survey counting is performed, then fewer technical resources are required, but errors increase in large audiences
Solution Approach 1:
The patent replaces manual mechanical counting with automated computer-based image processing systems that use algorithms to detect and count raised hands, significantly improving reliability for large audiences by eliminating human error while managing complexity through software automation
Data Source
AI summary
In one or more embodiments described herein, device, computer-implemented methods, and/or computer program products that facilitate automated survey results generation from an image are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an image capturing component that captures a first sample image. The computer executable components can further comprise an image processing component that processes the first sample image to determine a survey count, wherein the survey count indicates a number of times a survey image was identified in the first sample image. The computer executable components can further comprise an authentication component that adjusts the survey count based on detection of a discrepancy.