JapanManufacturing2022 – ongoingBrother Industries
AI inspection of printhead nozzles and industrial sewing machines
Brother automated nozzle-shape checks and industrial sewing-machine inspections with AI
Problem
Brother sought to automate manufacturing inspection and improve inspection accuracy. Applying AI required production staff to build relevant knowledge.
Approach
Project teams worked with inspection staff to define problems and collect training data. They trained AI systems and conducted trial operation. Brother reported unmanned nozzle-shape inspection and automated pre-shipment checks for industrial sewing machines.
Results
No published figures
Takeaway
Inspection staff participated in developing the systems, alongside the teams providing AI expertise.
Categories
- Size
- Large enterprise
- Industry
- Manufacturing
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
Brother reported automated nozzle-shape and sewing-machine inspections. It described inspection staff helping collect data, train systems and conduct trials.
Brother described the same manufacturing inspection applications within its AI training program. It reported improved nozzle-inspection accuracy without publishing a numerical comparison.
Full details are in the original sources.