Democratizing Computer Vision Technology
A core Labs project is developing a no-code computer vision capability that can give real-time operator feedback while seamlessly mining data from human processes. We have created several detectors that work with off-the-shelf cameras.
Improving Production with AI Insights and Advanced Analytics
Labs is working on several projects including using artificial intelligence to improve workflows for operations workers and using machine learning. We are also working on process mining with advanced analytics to help process engineers automate processes and gain insights for optimizing operations.
Enhancing Machine Monitoring with AI at the Edge
Labs is working with Tulip’s hardware team to incorporate AI and Machine Learning for anomaly detection at the edge and other potential use cases.
From The Engineering Blog
Bundle Adjustment Optimization for 3D Jigs in Tulip Vision
Tracking jigs movement through the workspace on the shop floor is a boon for process visibility. Learn how Tulip addresses 3D Jigs using Tulip Vision.Read More
Optimizing the Neural Compute Stick for Vision Models Inference on the Edge
See how manufacturers are using vision to monitor safety, manual assembly operations, kitting and picking, and many other applications to increase reliability and lower mistakes.Read More
Digitally transform your operations with Tulip
See how systems of apps enable agile and connected operations.