Automated Audio Video System Validation Using Sensor Feedback
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Solution Overview
Problem
Current methods for validating video or sound systems rely on manual inspections, which are costly, limited in scope, and do not provide continuous feedback.
Innovation Solution
An automated system that uses sensor modules with microphones or cameras to continuously validate audio or video streams by comparing them against reference signals, employing algorithms to detect anomalies and provide real-time feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual inspection methods are used to validate sound or video systems, then personnel can physically verify system operation at locations, but the validation is limited in scope, costly, and does not provide continuous feedback
Solution Approach 1:
The sound or video system performs self-validation through automated feedback mechanisms. Sensors and processing circuits continuously monitor system performance and generate validation data without requiring external personnel intervention, enabling the system to validate its own operation
Solution Approach 2:
An automated feedback loop is established where system output is continuously captured by sensors, processed to generate validation metrics, and fed back to verify system performance. This continuous feedback replaces periodic manual inspections with ongoing automated validation
2Measurement precision
If personnel visits are increased to improve validation coverage, then more locations can be inspected, but the cost increases proportionally with the number of visits and time spent
Solution Approach 1:
The mechanical system of personnel travel and physical inspection is replaced with an automated electronic validation system. Sensors, processing circuits, and communication interfaces automatically capture and analyze system performance data, eliminating the need for human personnel to physically visit each location
Solution Approach 2:
Instead of personnel physically being present at each location, the system creates digital copies of system performance data through sensor capture. These digital representations are then processed and analyzed remotely, providing the same validation information without requiring physical presence
3Ease of operation
If simple checklist validation is used, then the validation process is quick and easy, but it provides limited objective proof of system operation
Solution Approach 1:
An automated processing circuit acts as an intermediary between the system output and the validation assessment. This intermediary objectively captures, processes, and analyzes system performance data, generating quantifiable validation metrics that provide definitive proof of operation rather than subjective checklist assessments
Data Source
AI summary
Sound or video systems are used to deliver predetermined content to a customer audience. It is important to validate that the intended material is being received and understood by the targeted audience. Sound or video system service providers prove their value by providing feedback metrics that the system is working as expected. The present invention automates and enhances this process and makes the validation continuous for constant validation at a much lower cost. Enhancements creates metrics beyond a human's ability to discern the quality of the service. The also includes features that can automatically determine the cause and recommended solution if the system's performance is not as expected. The metrics are then aggregated for full system wide operation in a graphical and tabular analytic interface.