Build and Deploy Your Computer Vision Project Seamlessly

Optimizing processes and ensuring high standards are top priorities for today’s manufacturers. Tulip and Landing AI provide a clear roadmap to help you streamline quality control with a Human-Centric Approach to AI — without needing expertise in computer vision and AI.

Tulip and Landing AI facilitates the development of solutions across various 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 Landing AI blog post, we explored how the kitting process can be automated with the help of Landing AI and Tulip. These solutions not only minimize errors but also enhance product quality. The remarkable outcome is a quick return on investment, which can be seen within weeks.

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

1. 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.

2. You go through the labeling process. This can be done easily in Landing AI’s platform with their labeling tools or through Tulip’s Landing AI widget.

3. 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.

4. Once the model is ready for production, it’s time to deploy it. This process also necessitates technical knowledge and skills.

As depicted in the graphic 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 undergoing months of development.

What makes Landing AI and Tulip’s solution unique? Four key factors separate this joint solution from traditional computer vision solutions:

1. 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.

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

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

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

Through Tulip and Landing AI’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 Landing AI’s computer vision models is as simple as trying out our free trial.