Bringing Computer Vision AI Solutions Across All Industries
LandingLens provides roadmap to improve quality, efficiency, and and productivity across AI industries. See AI use cases by industry below.
AI/Deep Learning vision solutions are solving automated inspection challenges previously thought impossible, such as quality assurance of large assemblies with dozens of regions of interest and hundreds to thousands of acceptable variations with weld and paint analysis, and many other complex inspection applications. Landing AI’s AI/Deep Learning workflow simplifies the development of automated machine solutions that identify, classify, and categorize defects, while improving production yield plant-wide, or around the world.
Automotive AI/DL Use Cases:
Weld inspections, including EV batteries
Whether it is wafer critical dimensions, lead frame, solder reflow, or large PCB/SMT inspection, AI/deep learning vision solutions offer the power to inspect complex products with the most challenging stacked tolerances. When combined with the Landing Lens AI/DL vision solution development and deployment workflow, electronics manufacturers can solve quality assurance applications previously thought impossible, easily add new products to existing AI/DL models, and leverage the workflow’s advanced process monitoring, feedback, and management functionality to achieve new levels of productivity.
Electronics AI/DL Use Cases:
Wafer and Die Inspection
Solder quality/SMT inspection
PCB build validation
A microparticle in a syringe can mean the difference between life and death. High volume fluid test machines require dynamic measurement of relative volumes for accurate diagnostics to save millions of lives from early disease detection. Landing AI’s visual inspection workflow empowers teams and inspectors to build reliable AI models that solve problems previously considered impossible to automate for biotech companies.
Biotech AI/DL Use Cases:
Tracking, CFR 2.11 validation
AI/deep learning computer vision systems have helped package and distribute food for decades, but today vision is moving out of the processing plant and closer to the field. Vision systems are helping harvesters to optimize yields, minimize chemical applications for greatest return and sustainability; and take over dirty, dangerous, and difficult jobs such as weeding and picking. Today, Landing AI is partnering with farmers, aiding them with AI visual inspection tools that maximize crop yield and take pressure off the operator, all while improving revenue and return.
Agriculture AI/DL Use Cases:
Plant disease classification remediation
Every scratch, incomplete assembly, or defective part matters to the OEM’s bottom line. Identifying defects correctly and consistently is critical to production success. Landing AI’s LandingLens™ provides an AI/Deep Learning visual inspection development and deployment platform that helps OEMs, system integrators, and distributors to easily evaluate AI/Deep Learning model efficacy for a single application, or as part of a hybrid solution combined with traditional 2D/3D machine vision and robotic control solutions.
AI/DL Use Cases in Manufacturing:
Complex defect detection and classification
Process monitoring and yield improvement
Easily expand, modify, deploy AI/deep learning solutions
Root cause analysis