New-Energy Batteries · APPLICATION SCENARIO
The surface integrity and sealing of posts and top caps directly affect battery safety — a critical checkpoint before shipment.
Scenario · Top Cap & Seal Inspection
Challenge & Solution
ChallengeManual inspection missed up to 3% of defects with an 8% false-positive rate, and fine cracks or deformation easily slip through in volume production.
SolutionVision foundation model zero-code auto-programming, with APDT positive-sample learning supporting 3D reconstruction and semantic false-positive filtering.
Recommended equipment: 2D AI AOI · 3D AI AOI
View full case study → AI Vision Inspection Results for New Energy Battery Posts/Caps
This article was generated by AI. Customer cases are simulated scenarios based on real product capabilities and figures are illustrative; see product pages for official benchmarks.
FAQ
Manual inspection missed up to 3% of defects with an 8% false-positive rate, and fine cracks or deformation easily slip through in volume production.
Vision foundation model zero-code auto-programming, with APDT positive-sample learning supporting 3D reconstruction and semantic false-positive filtering.
In real production deployments, Detection rate reaches 98%, Missed detection rate reaches <2%, and False positive rate reaches -65% (case studies are simulated scenarios based on real product capabilities; see product pages for official benchmarks).
Battery Post / Top-Cap Appearance Inspection pricing depends on production-line scale, number of inspection points, and deployment mode (cloud/edge/on-premise); configurations vary significantly by customer, so we don't publish a fixed price list. Book a demo for a quote and implementation timeline tailored to your setup.