A data-centric AI approach provides a systematic method for improving data, reaching a consensus on the data, and cleaning up inconsistent data. With such an approach, teams can work in parallel and directly influence the data used for the AI system. By removing unnecessary back and forth among groups and looping in human input at the point where it’s needed most, the result is reduced development time. Lanner works with Landing AI to bring the deep learning-based visual inspection to all industries. Pre-validated with LandingLens, the world's leading Industrial AI Vision Inspection Platform, Lanner’s Edge AI appliances can enable end-to-end, data-centric visual inspection with small dataset, changing environments and requirements. LandingLens makes deep learning deployment easier, faster, and more effective, helping to increase throughput, maintain product quality, and drive revenue. |
LandingLensLandingLens, an industry-first, data-centric, deep learning inspection platform, helps improve accuracy and reduce false accepts and false rejects in critical quality tasks like defect or feature analysis and classification, and anomaly detection. The end-to-end platform standardizes deep learning implementations to reduce development time and scale projects easily to multiple facilities across the globe.
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Ready to Deploy? |
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