Computer Vision inManufacturing

For manufacturers, every scratch, incomplete assembly, or defective part matters to the bottom line. Use LandingLens to drive accurate, consistent defect detection – and reap the benefits of improved quality control processes, profitability, and production success.

Applications

LandingLens provides an end-to-end computer vision and deep-learning platform for manufacturers, system integrators, and distributors. The AI-powered LandingLens platform simplifies the process of developing deep-learning models for a single application, or as part of a hybrid solution combined with rule-based 2D/3D machine vision and robotic control solutions..

Assembly Inspection

Manufacturers strive to detect even the most subtle defects during assembly inspections, which occur at different stages of the manufacturing process. With AI-powered computer vision from LandingLens, part orientation, presence detection, part dimensions, and angles of part geometries can all be checked according to exact specifications. LandingLens allows manufacturers to spot incorrect, misplaced, missing, defective, and deformed components with greater ease and reliability, helping to boost production efficiency.

Defect Detection

While human inspectors may struggle to reliably detect small defects in a large number of products, LandingLens automates the process, and catches defects before a product leaves the manufacturing plant. LandingLens’ deep learning enables manufacturers to train models that identify, classify, and precisely locate multiple defect types at speed and at scale. LandingLens can be trained quickly and easily to recognize anomalies from images for any defect type, helping to improve throughput and enhance manufacturing quality.

Predictive Maintenance

Every year, billions of dollars are lost to machine downtime. With LandingLens, production equipment can be inspected and monitored on a continuous basis, in detail, making it possible to discover and resolve maintenance issues before they impact production. Image processing enabled by LandingLens will identify out-of-normal conditions, create alerts, and trigger standard and proactive maintenance. The LandingLens computer vision platform contributes directly to reduced machine downtime, helping to prevent production interruptions, and enhances manufacturing profitability.

LandingLens Benefits for Computer Vision in Manufacturing

AI-powered computer vision from LandingLens helps manufacturers to improve inspection accuracy and reduce false positives. The end-to-end AI-powered LandingLens platform can help to monitor assembly sequences in near real-time, provide feedback to automation systems and operators, increase production line throughput, and cut operating costs. Discover the advantages of computer vision in manufacturing below.

Meet Strict Regulations, Keep

Compliant

  • Particularly for high-precision manufacturing processes that depend on multiple components, increasing production yield is a critical success factor. The LandingLens AI-powered computer vision platform brings a higher level of accuracy to production and quality-control processes
  • LandingLens enables automatic defect inspection, at speed and scale, at multiple production stages. By ensuring very high component quality levels, manufacturers can reduce waste and improve yields, contributing to enhanced profitability and improved product performance.

Achieve Zero

Product Escapes

  • There’s no room for error when it comes to manufacturing environments, and this is especially true for medical and pharmaceutical manufacturing. Companies need machine vision and deep learning software systems to prevent defective products from leaving the factory floor.
  • This is crucial for avoiding corrective actions, increasing productivity, delivering quality products, and maintaining solid customer relationships.

AI Manufacturing Resources

LandingLens Deep-Learning Software Cracks Complex Steel Inspection Code

Guy working with robotic arm

Deep Learning Playbook for
Manufacturing Industries

How Deep Learning and Artificial Intelligence Can Complement Rules-Based Machine Vision