Automated Video Testing System for CPE Device Quality Analysis
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Solution Overview
Problem
Service providers face challenges in high-volume testing of Customer Premise Equipment (CPE) devices due to the cumbersome and error-prone nature of manual video testing, which is not scalable for large volumes, especially with multiple video interfaces complicating the process.
Innovation Solution
An automated video testing system using computer video processing functionality on a high-volume device testing platform that transmits video streams to CPE devices, processes them, and evaluates video processing and presentation using specially generated video streams and algorithms, eliminating the need for manual visual evaluation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual visual evaluation is used for video testing, then test operators can evaluate video results, but the process is cumbersome, error-prone, and not scalable for high-volume processing
Solution Approach 1:
The patent replaces the mechanical manual visual evaluation system with an automated computer-based video testing system. The system uses a video interface to capture video output from CPE devices, processes the video signals through algorithms, and automatically generates test results. This substitution eliminates human operators from the testing process, thereby increasing productivity while maintaining or improving measurement precision through consistent algorithmic evaluation.
2Adaptability or versatility
If multiple video interfaces are tested, then comprehensive video functionality is verified, but the testing complexity and time increase significantly
Solution Approach 1:
The patent implements a universal automated testing platform that can handle multiple video interfaces (HDMI, DisplayPort, USB Type-C, etc.) through a single integrated system. The video interface is configured to accept various interface types, and the testing algorithms are designed to work across different interface standards. This multi-functional approach allows comprehensive verification of video functionality across multiple interfaces without proportionally increasing testing complexity, as the same automated framework handles all interface types.
Solution Approach 2:
The system manages the complexity of multiple video interfaces by dynamically adjusting testing parameters based on the specific interface being tested. The video interface configuration is modified according to the connected device type, and testing parameters such as resolution, refresh rate, and color space are automatically adjusted. This parameter-based adaptation allows the system to handle diverse video interfaces through a standardized process, reducing the perceived complexity while maintaining comprehensive coverage.
3Productivity
If automated video testing is implemented, then high-volume processing is enabled, but sophisticated video processing algorithms are required
Solution Approach 1:
The patent extracts the complex video processing algorithms from the overall testing system architecture, implementing them as separate, modular analysis components. The video interface captures raw video signals, which are then passed to dedicated processing modules that perform specific analysis tasks (color accuracy, geometric distortion, artifact detection). By extracting these algorithms into independent modules, the system achieves high-volume automated processing while managing complexity through modular design, where each algorithm can be developed and optimized separately.
Data Source
AI summary
A variety of device interfaces may be connected to a test platform in a fast and efficient manner using multi-pin cables and connectors to support high-volume processing of devices to be tested. The multi-pin cables and connectors may aggregate a plurality of specific device interfaces into a single cable that can be connected via a connector to a test shelf and via a connector to a test platform, reducing the time to setup for device testing and facilitating high-volume processing of devices to be tested.