Visual AI in
Manufacturing
Automation requires reliable execution, even within challenging environments. Developers of cutting-edge machine vision systems turn to FiftyOne to build high-quality datasets and high-performing models.
Benefits
FiftyOne is transforming factory floors
Visual AI opens ups endless possibilities for automation. But to truly unlock its potential requires top-notch data and robust models. That’s why visual AI builders in manufacturing turn to FiftyOne.
Increase quality
Improve model accuracy with comprehensive visibility into dataset quality and model performance.
Boost production
Build AI solutions that are efficient, reliable, and safe so you can keep production lines running smoothly.
Increase efficiency
Eliminate repetitive AI/ML data work, freeing up valuable engineering resources and time.
Use cases
Manufacturing AI use cases powered by FiftyOne
Computer vision plays a critical role in a wide variety of manufacturing use cases. That’s why leaders and innovators building AI/ML solutions for manufacturing rely on FiftyOne.
Defect detection
Ensure quality control in industrial processes using computer vision to rapidly detect and identify defects.
Predictive maintenance
Save on maintenance costs by using computer vision and predictive analytics to find and fix potential issues before they result in failures.
Bin picking
Make automatic bin picking solutions robust and reliable by using computer vision to map the environment and guide robotic arms.
Machine tending
Bring high precision to the loading and preparation of raw materials processed by machines.
Palletizing and depalletizing
Enable and enhance palletizing and depalletizing by building and training object detection models to provide very high accuracy.
Safety monitoring
Revolutionize real-time hazard detection and safety compliance monitoring across manufacturing sites, enhancing worker protection and reducing accidents.
Features
How visual AI can help you
Efficiently organize and analyze datasets of any size
Your business relies on the data, metadata, and models that matter the most to you. FiftyOne’s flexible metadata structure makes it easy to manage visual datasets of any size—thousands, millions, or billions of samples—for any model you’re working with.
Easily reconstruct scenes with grouped datasets
360-degree imaging allows machines to capture detailed views from all angles. FiftyOne allows you to easily group samples together to quickly visualize a reconstruction of the scene.
Seamlessly manage real and synthetic data workflows
FiftyOne offers a full suite of capabilities to analyze synthetic and real data and check for balance, quality, and accuracy. Plus, its powerful embeddings capabilities help you compare the distributions of synthetic vs real data.
Effortlessly evaluate your models
Use FiftyOne to evaluate your models hands-on. Whether you’re trying to understand current failure modes and how to fix them, uncover errors in ground truth annotations, or compare the performance of different models to find the best one, FiftyOne is here to help.
“We use FiftyOne Teams during model training to prep and select the data, then inspect the model’s performance on that data. On the other side, we take the inference results from our production models and test data to visualize and evaluate them in FiftyOne Teams. Doing this means we have an end-to-end process that closes the entire loop for us on model analysis.”
Shubham Kanitkar
Sr. Robotics ML Engineer, RIOS Intelligent Machines
“Everything we do from the MLOps side interacts with FiftyOne Teams. It’s becoming the hub where all the spokes are connected. It’s like GitHub for code, but for our datasets.”
Matt Shaffer
VP of AI & Co-founder, RIOS Intelligent Machines
Data eats models for lunch
Talk to our computer vision experts to start building better datasets and models.
