Monitor Your Printing Process with Recoatify. Eliminate the inefficiencies of manual image analysis with nebumind’s innovative recoater tool, Recoatify: experience early defect detection, real-time notifications and seamless compatibility with a wide range of powder bed solutions, to ensure superior quality control and streamlined operations.
THE ADVANTAGES AT A GLANCE
99% time savings:
Automate image analysis to reduce your analysis time
Online defect detection:
Detect defects during the printing process to reduce rejects
In-process printer reaction:
Trigger printer reactions to enable direct production control
WHAT’S IT ABOUT
Anomaly detection made easy
Today manual analysis of recoater images eats time
Manual examination of recoater images is labor-intensive, time-consuming, and prone to human error, often requiring highly educated employees to meticulously click through recoater images to detect anomalies. For instance, analyzing 2,500 images with a 3-second analysis time per image amounts to roughly two hours per print job, underscoring the inefficiency of the manual process.
Recoatify automates analysis and makes in-process quality control possible
Recoatify automatically detects anomalies in recoater images, thereby reducing analysis time by up to 99%. The software receives powder bed images from an optical camera before and after recoating and employs advanced image detection algorithms to automatically identify anomalies.
Additionally, it analyses recurring anomalies across multiple layers and their position within the component to minimize false positives, ensuring precise and reliable results.
Moreover, Recoatify reports anomalies online, providing users the option to take countermeasures, such as stopping the machine, applying a new recoater layer, or cancelling parts of the print job at an early stage.
Recoatify also integrates seamlessly into nebumind’s Anomaly Dashboard, allowing for the inclusion of additional process information and further analyses, such as the analysis of the atmosphere (temperature, oxygen, inert gas, humidity) or the meltpool. This comprehensive approach ensures superior quality control and enhances operational efficiency in Additive Manufacturing.
MAIN FUNCTIONS
Automated image analysis
Automatically analyzing recoater images with advanced anomaly detection algorithms.
Automated anomaly classification
Pre-categorizing anomalies for easier and faster analysis.
Anomaly detection through multipel layers
Summarizing all anomalies for manual review and highlighting anomalies that spread through multiple layers.
Online anomaly notification
Providing in-process notifications for immediate evaluation and possible corrective actions.
Intuitive 3D visualisation of anomalies
Visualising anomalies in a 3D component twin to evaluate location, size and magnitude.
Constant detection improvement
Constantly feeding detection algorithm with new data to fine-tune detection.
Customizable printer reaction
Defining printer actions for different anomaly categories, e.g. recoating repetition, printer stop.
Automated quality reports
Generating detailed quality with overview of all critical process parameters for internal and external distribution.
Anomaly dashboard integration
Enabling seamless integration of additional sensors and features such as the analysis of the atmosphere (temperature, oxygen, inert gas, humidity) or the meltpool.
MACHINE CONNECTIVITY
Manufacturer independence
Recoatify integrates with a variety of printers, allowing the monitoring of devices from different manufacturers on a single, unified dashboard. Our tool has been thoroughly tested with leading printer manufacturers EOS, Trumpf, and SLM Solutions, ensuring efficient connectivity and seamless interoperability across their printers.
Project Process
Let’s get started
- Transfer learning – tailoring our algorithms to your requirements
- Pilot phase – connecting Recoatify on your printers
- Production rollout – deploying Recoatify for permanent use
- Continuous updates – constant learning and optimization
