Capable of performing repetitive testing tasks according to preset programs—such as functional verification and load testing—without human supervision, achieving 3–5 times the daily throughput of manual testing. It can also test multiple devices in parallel, significantly shortening test cycles and enabling rapid product iteration, making it especially suitable for large-scale batch testing scenarios.
Equipped with high-precision sensors and a data acquisition system, it ensures accurate measurement of test parameters and minimal recording deviation. By eliminating errors caused by human judgment or fatigue, it guarantees reliable test data, providing precise support for product performance analysis and issue diagnosis.
Supports rapid switching of test programs and fixtures, and adapts to products of different sizes and models through vision guidance without reconstructing the test system. Suitable for both static performance testing and dynamic collaborative process testing, it flexibly meets diverse testing requirements while reducing scenario change costs.
AI algorithms enable real-time analysis of test data, automatically detecting anomalies and generating alerts, along with visualized test reports. It integrates with MES systems for full-process digital management of test progress, issue tracking, and product traceability, reducing manual data handling and improving efficiency and problem resolution speed.