Machine Learning Technology Helps STIHL Cut Cost, Time and Human Error
STIHL is a global name in the development, manufacturing and distribution of power tools for forestry and agriculture. As the world's top-selling chainsaw brand, quality assurance is an integral part of the company's production process.
STIHL wanted to implement a fully automated process to inspect the production of gasoline suction heads as components of a chainsaw. STIHL turned to Zebra's machine learning technology to replace manual inspections, which helped push hit rate accuracy to nearly 100%.
Benefits / Outcomes
- 99.5% hit rate accuracy
- Significant cost savings
- Time saved due to fully automated inspection process