AI Vision Counting Packaging Machine Cuts 90% Labor & Eliminates Count Errors for Japanese Automotive Sealing Ring Manufacturer
Industry: Automotive Rubber Sealing Components
Equipment: Integrated CCD Vision Counting Packing Machine for O-rings & Rubber Gaskets
Cooperation Time: 2026 July 1st
Client Region: Japan
1. Client Background
The client is a tier-2 automotive sealing supplier based in Nagoya, Japan, producing over 120 types of silicone, NBR and FKM O-rings, oil seals and flat gaskets for mainstream Japanese vehicle brands. Before cooperation, the factory adopted full manual counting and bagging for finished sealing rings.
2. Core Production Challenges
Sealing rings are tiny, elastic and easy to stick together; manual counting error rate reached over 3%, triggering frequent customer returns and compensation losses.
The factory arranged 12 full-time workers for packaging on three shifts, with high annual labor expenditure and unstable staffing turnover.
No automatic quality screening; defective deformed or damaged seals were mixed into finished bags, leading to quality complaints from automobile assembly factories.
Manual packaging lacked unified batch data recording, unable to realize product full life cycle traceability required by automotive industry standards.
3. Customized Solution from Anxiang Precision
Anxiang Precision provided a customized integrated AI vision counting packaging machine dedicated to automotive sealing rings, with key upgrades matching the client’s production requirements:
Dual-channel high-speed CCD vision system + self-learning AI algorithm, counting accuracy up to 99.99%, supporting automatic rejection of stuck, overlapping and deformed sealing rings.
Multi-spec fast switching module: one-click parameter adjustment for 1–50mm O-rings, realizing seamless switching between different product batches within 2 minutes.
All-in-one workflow: automatic feeding, visual counting, defective product sorting, bag making, heat sealing, batch coding and data uploading to the client’s MES system.
Dustproof and silent structure adapted to Japanese clean workshop standards, with low energy consumption and 24-hour continuous stable operation.
4. Measurable Post-Installation Results
Labor reduction: 12 packaging workers reduced to 2 shift operators, cutting labor cost by 90% annually.
Zero counting error: No more return orders caused by miscounted sealing rings after machine deployment, eliminating product compensation losses.
Production efficiency: Packaging capacity raised from 1,200 bags/day (manual) to 7,500 bags/day, supporting 30% higher order throughput without workshop expansion.
Quality improvement: Automatic AI visual inspection removes unqualified seals in real time, reducing defective outflow rate to nearly zero.
Digital traceability: Each packaging batch generates unique production data, fully meeting automotive industry quality audit standards.
5. Client Testimonial
“Anxiang’s sealing ring vision counting machine completely solved our long-standing pain points of manual counting inaccuracy and high labor cost. The AI inspection function is especially valuable for automotive-grade sealing parts. The machine runs stably in our clean workshop, and the after-sales technical support response is efficient. We plan to purchase 3 more sets to upgrade all packaging lines within this year.”
— Production Director, Nagoya Automotive Sealing Factory
6. Applicable Scenarios Reference
Automotive O-rings, hydraulic oil seals, silicone gaskets, electronic rubber sealing parts, plumbing rubber washers and other tiny elastic precision components automatic counting & packaging.
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