一种软件检测实验室数据管理的平台
By introducing visual recognition and feature extraction modules into the software testing laboratory data management platform for dimensionality reduction, the problems of staff having to observe and perform ineffective calculations are solved, achieving efficient automated testing and simplified data processing.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- ZHONGKE SOFTWARE EVALUATION (GUANGZHOU) CO LTD
- Filing Date
- 2022-05-06
- Publication Date
- 2026-07-17
AI Technical Summary
In the existing software testing process, staff need to observe and process the test data, which increases the workload of staff. In addition, the automated testing scripts are computationally intensive and ineffective, resulting in wasted time.
Design a data management platform for a software testing laboratory, including a software testing module, a monitoring module, a video input module, a storage module, a database, a visual recognition and classification module, a feature extraction module, a data transmission module, a classification and storage module, and a display and search module. The visual recognition and classification and feature extraction modules perform dimensionality reduction processing on images to remove useless dimensions of data and improve computational efficiency.
By removing noise through dimensionality reduction, invalid calculations are reduced, improving the efficiency of automated detection, reducing reliance on manual operation, and simplifying the data processing flow.
Smart Images

Figure CN117056541B_ABST