Manufacturing / Appliance components
LG Electronics: Predicting the design quality of components
- Company
- LG Electronics
- Country
- South Korea
- Adoption stage
- Pilot
- Source published
- Date basis
- The date the source was published. It can differ from the date adoption started.
- How the source was checked
- Read the full source text
The work problem
LG Electronics predicts quality before building a prototype during product development. This verification is repeated several times while development runs. Each prediction used to take about 3 to 8 hours.
Technology and data
The technology LG Electronics developed only needs 3D drawing information as input. There is no separate step to align the drawing coordinates precisely against a reference to reduce error. Technology that compresses and lightens the input data was applied at the same time so the AI learns fine detail faster. A prediction result comes out within three minutes with no separate simulation. The result is shown in a 3D form close to the actual product so developers can review it intuitively. The company plans to release Eng.AI, a web-based service platform, so developers can use it easily in their work.
Results
LG Electronics said it cut the time to predict the quality of a finished product by up to 99 percent against the previous method. Compared with AI built on similar deep learning algorithms, it said training time for analysis fell by more than 95 percent, memory use dropped to about one tenth, and accuracy rose by more than 15 percent.
Limits and open questions
LG Electronics said it will first use the technology to strengthen its own manufacturing capability and then apply it in stages to the component design of home appliances such as refrigerators and washing machines, televisions and automotive products. How much the development period or the mass production defect rate changed is not in the source.
Sources
- LG전자 ‘제조 AI’, 더 빠르고 정확해졌다 | LG전자 뉴스룸 | LG전자lge.co.kr, Accessed
Compiled from public sources. These are not results from ATF Works customers.