Leveraging AI in Your Manufacturing Processes

Optimizing processes and ensuring high standards are top priorities for most manufacturers. While computer vision and artificial intelligence can be powerful tools to help achieve these goals, building and deploying your own computer vision project can initially seem daunting. While many solutions can require a lot of work and learning to get started, with solutions using Tulip and Landing AI, you'll have a clear roadmap to help streamline quality control using computer vision - without needing expertise in computer vision and AI.

Computer vision has numerous applications in the manufacturing industry, including defect detection, image classification and sorting, assembly verification, and object detection for understanding object location and size. In a recent LandingAI blog post, we explored how the kitting process can be automated using computer vision with the help of Landing AI and Tulip.

Integrating Tulip and LandingAI facilitates the development of solutions that not only minimize errors but also enhance product quality. The remarkable outcome is a quick return on investment, which can be seen within weeks.

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Computer Vision Made Easy

A typical machine vision operations workflow for computer vision involves several steps

  • You collect images for your specific use case. If you're already using Tulip, you may have multiple stations with imaging systems and wonder how to derive value from these image assets.

  • Labeling can be done easily in LandingAI’s platform with their labeling tools or through Tulip’s LandingAI widget.

  • With the annotated images, you can train a model. Typically, technical resources like data scientists or ML engineers with expertise in modern algorithms and architectures are required for coding.

  • Once the model is ready for production, deploying it also necessitates technical knowledge and skills.

As depicted in the graphics below, Landing AI offers a no-code platform, LandingLens, that supports the entire workflow from data ingestion to model training and deployment. LandingLens is designed to democratize computer vision for subject matter experts. Data-centric approaches allow models to be both fast and accurate. LandingLens provides flexible deployment options, including cloud endpoints and edge deployment through either Tulip or our own edge computing software. This ensures unlimited scalability for our customers. Many of our customers can put models into production in a matter of days, rather than months of development.

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Human-Centric Approach to AI in Manufacturing

What sets Landing AI and Tulip’s solution apart from others? Four key factors separate this joint solution from traditional computer vision solutions.

  • We adopt a human-centric and data-driven approach to computer vision, aimed at enhancing manual processes and expediting vision tasks with an added safety layer.

  • We are hardware agnostic, capable of utilizing off-the-shelf cameras and hardware.

  • We offer an edge deployment option to cater to high throughput use cases and handling sensitive data.

  • No data science skills are required as we handle the end-to-end architecture, ensuring infinite scalability.

A Collaborative Way to Bring You AI

Through Tulip and LandingAI’s partnership, you can unlock cross-functional collaboration within your organization. By leveraging Landing AI's user-friendly, end-to-end platform and Tulip’s flexible deployment options, we enable effective collaboration between your IT organization and operations team for frontline digitization, continuous improvement, and quality assurance, ultimately reducing time to value. Seeing the ease of building models with LandingAI’s computer vision models is as simple as trying out our free trial.

Our Partnership with LandingAI

LandingAI is one of our Technology Partners. For more information about using LandingAI's computer vision platform with Tulip to support your automation applications, check out our partner page.

Day in the Life Illustration