ACL Digital’s Automated Testing Solution Transformed a Global Automaker’s Testing Process
Overview
A leading global automaker renowned for its innovative mobility solutions faced significant challenges in managing the manual, labor-intensive process of generating vehicle functionality test procedures. The conventional approach required extensive domain expertise, was time-consuming, and resulted in inconsistencies due to varying methods used by different team members. To address these inefficiencies and streamline testing processes, the automaker partnered with ACL Digital to automate the test procedure creation, ensuring accuracy, consistency, and improved efficiency.
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Challenges
Manual Testing Process
Creating vehicle functionality test procedures that manually demanded considerable time and expertise
Inconsistent Outputs
Test procedures varied due to differences in individual approaches, leading to discrepancies and potential inaccuracies
Complex Data Extraction
Extracting requirements from multiple sources, such as Word documents and Excel files, required consolidating diverse information accurately
Data Privacy Concern
The client prioritized ensuring the security of proprietary data and test specifications during the process
Solution
- Automated Test Case Generation: Using advanced prompt engineering and an on-premise Large Language Model (LLM), ACL Digital enabled the automated creation of test cases aligned with extracted data, significantly improving generation efficiency.
- Interactive, Real-Time GUI: An intuitive interface allowed users to interact directly with live video feeds, enabling real-time feedback and facilitating the validation of generated test cases.
- On-Premise Data Privacy: To ensure the security of sensitive information, all model inferences and data processing occurred on-premise.
- Safety Glasses Detection and Face Recognition System: ACL Digital delivered a robust safety feature that recognizes personnel wearing safety glasses in real time and accurately recognizes their faces.
Outcomes
Quantitative
- Achieved a video frame processing speed of under one second with an impressive 90% face recognition accuracy and 85% accuracy for safety glasses detection
Qualitative
Time Savings
The AI-driven system reduced test procedure generation time by up to 95%, transforming what once took hours into a process completed in seconds
Consistency and Accuracy
Automation ensured consistency in test procedures, producing reliable results that contribute to higher vehicle quality
Reduced Reliance on Domain Experts
With automation handling procedural generation, domain experts were free to focus on higher-level, strategic tasks
