Daihatsu Deploys AI Inspection System for Transmission Parts at Shiga Plant
Daihatsu has introduced an AI-powered inspection system at its Shiga plant to detect tiny defects in transmission components, automating a process once reliant on skilled workers.
0.1 mm
What Happened
Daihatsu Motor Co., Ltd. has introduced an AI-based inspection system for automotive parts at the No. 1 area of its Shiga (Ryuo) Plant as part of its shopfloor-led digital transformation (DX) initiatives. The system inspects transmission components produced on the aluminum machining line, using AI to detect scratches and other defects inside machined holes. Inspecting subtle defects has traditionally relied heavily on the experience and judgment of skilled operators, as deviations as small as 0.1 mm can affect product quality.
0.1 mmminimum deviation
Defects as small as 0.1 mm can affect product quality.
The system was jointly developed by Daihatsu and VRAIN Solution, Inc., an AI solutions provider, and the two companies have jointly filed patent applications. The system is currently in operation at the Shiga (Ryuo) Plant and can be applied to aluminum products with similar structures. Daihatsu plans to expand its use to inspection processes for other components in the future.
Why this matters
This shows how AI is being used on factory floors to improve quality and reduce human workload, making manufacturing more consistent and efficient.
Terms in This Story
- DX
- Digital transformation, the integration of digital technology into all areas of an organization.
- AI-based inspection
- Use of artificial intelligence to automatically detect defects in manufactured parts through image recognition.
Summarised from the linked release; details can be imperfect — always verify against the original source.