AI monitors voltage, vibration, and condensation testing in real time, securing a validated reference case for automated reliability testing of automotive electronic components
What once demanded days of continuous manual surveillance by skilled operators has been transformed into an AI-driven autonomous logging and traceability system
SEOUL, South Korea, June 16, 2026 — MakinaRocks, South Korea’s leading Physical AI company, today announced the successful deployment of AI-powered automation technology in the automotive electronics testing process at DENSO Korea, a global automotive supplier. The collaboration establishes a validated reference case for AI-driven reliability testing of automotive electronic components.
Automotive electronic components — including in-vehicle displays — must undergo rigorous reliability testing before shipment, simulating extreme operating conditions such as voltage fluctuations, vibration, and temperature- and humidity-induced condensation. These tests have traditionally depended on skilled operators for continuous, hands-on monitoring throughout the entire process.
Voltage testing alone requires executing nine distinct waveform patterns dozens of times per product, demanding three to four days of operator time per unit. Vibration and condensation tests impose an even higher level of vigilance, as transient anomalies can appear and vanish within seconds. As quality standards for automotive electronics continue to rise, the limitations of human observation alone have made the case for technology-driven augmentation increasingly urgent.
To address these challenges, DENSO Korea partnered with MakinaRocks to apply AI vision-based anomaly detection to its testing environment. The deployed solution delivers three core capabilities: automatic detection of screen flickering, blackouts, and “No Signal” events; automatic logging of anomalous events categorized by voltage range; and continuous, automated accumulation of test activity logs across the full testing cycle. The result is a system in which AI autonomously monitors and records every abnormal event — without requiring operators to remain stationed at the line.
The implementation is expected to substantially reduce the labor burden of long-duration monitoring while automatically capturing contextual data — including voltage conditions and timestamps — at the moment anomalies occur. This structured record enables failure reproduction, root-cause analysis, and long-term quality trend analysis by component, laying the groundwork for more proactive defect prevention.
The two companies initially validated the feasibility of AI vision-based anomaly detection in the voltage testing environment. Building on these results, MakinaRocks and DENSO Korea plan to progressively explore broader applications of AI automation across the full spectrum of automotive electronics reliability testing.
“Reliability in automotive electronic components is directly tied to vehicle safety, which made improving the accuracy and traceability of the testing process the central challenge of this project,” said a representative from DENSO Korea. “Through our collaboration with MakinaRocks, we have built an automation foundation grounded in real operational data from the factory floor.”
“Automotive electronics testing carries high quality requirements and significant demand for automation, yet it remains a difficult domain for AI deployment due to the complexity of real-world production conditions,” said Andre S. Yoon, CEO of MakinaRocks. “The practical insights gained through our collaboration with DENSO Korea give us a clear foundation to expand the scope of test automation — together with our customers — in ways that deliver real, measurable value.”
