DONAA provides a real-time defect detection system for 3D printing using advanced camera technology, enabling users to identify and address printing errors as they occur. This capability reduces material waste and production costs while enhancing the reliability of 3D printed components.
Funding
$30K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
In additive manufacturing, undetected defects during the 3D printing process can lead to material waste, increased production costs, and unreliable final products. Current methods for defect detection often lack real-time capabilities, preventing immediate corrective action and potentially compromising the structural integrity of the printed component.
Solution
DONAA provides a real-time defect detection system for 3D printing, leveraging camera technology and machine learning to identify errors as they occur. The system monitors the printing process and alerts users to anomalies, enabling immediate intervention and correction. By detecting defects in real-time, DONAA minimizes material waste, reduces production costs, and enhances the reliability and repeatability of 3D printed components. The platform offers a software-as-a-service (SaaS) solution that integrates directly into existing 3D printing workflows, providing continuous monitoring and analysis.
Target Audience
The primary target audience includes manufacturers, engineers, and researchers utilizing 3D printing for production, prototyping, and research purposes.
Features
- Real-time defect detection using camera-based monitoring
- Repeatability monitoring to ensure consistent print quality
- Seamless integration with existing 3D printing setups
- Automated alerts for immediate corrective action
- Machine learning algorithms for accurate defect identification