Superb AI's industrial AI solution is a vision AI solution purpose-built for manufacturing. It analyzes camera footage from production environments with ZERO, Superb AI's industry-focused Vision Foundation Model, to improve quality and productivity. One platform covers visual defect detection, material and inventory counting, and production bottleneck identification.
To reduce various defects occurring in manufacturing processes, we leveraged Superb Platform to develop optimized models that can be deployed directly on-site
"We developed an AI model for automatic classification of pipe welding defects in collaboration with Superb AI and achieved an average accuracy of 90% within the production schedule. We are highly satisfied with both the automation and retraining capabilities."
Power Plant EPC Solution Provider “D”Superb AI customers are achieving significant results by leveraging our solutions across their production systems
Data quality
Reduced customer return rates
Automated visual inspection detects visual defects such as scratches, foreign substances, and deformation on product surfaces using camera imagery. ZERO's zero-shot detection lets you start a PoC with around 10 images, while hard-to-acquire defect data can be supplemented with synthetic data generation. In one case, automated classification of pipe weld defect types achieved 90% average accuracy within the project timeline.
For practical examples, see our case study on an electronic components manufacturer's transition to AI-powered visual inspection, along with four manufacturing vision AI use cases.
"In manufacturing sites, it’s difficult to collect defective data samples, making it challenging to train AI models for defect detection with high accuracy."
By generating synthetic data, we can add insufficient defect samples, enhancing AI model performance for more accurate defect detection.
"In a 24/7 production line, distinguishing defects and keeping an accurate count of each product is a demanding task that cannot be managed by on-site workers alone."
We leveraged a 5G-specialized network to process large-scale video data on our AI-powered cloud platform and generate real-time statistics. To ensure uninterrupted operations even during emergencies like power or communication outages, we deployed AI servers directly within production lines.
Analyze shapes and defects of raw materials and components in real time to enhance procurement efficiency and quality management.
Capture sensor-based images during production to analyze and improve per-day and per-week unit production efficiency.
Detect defects quickly without relying on visual inspection, ensuring high quality and adherence to specifications.
Monitor equipment wear and symptoms of damage, detect abnormal patterns, and minimize production downtime.
Enhance inventory management through barcode scanning and storage optimization, preventing stock shortages.
Automate packaging inspection and pallet tracking to optimize the supply chain and improve visibility across operations.
Pre-configured devices for immediate deployment and compatibility with existing on-site hardware
No internet access required
Convenient deployment using existing cloud infrastructure or hosted APIs
What types of manufacturing defects can visual inspection AI detect?
It detects surface scratches, foreign substances, deformation, misassembly, missing components, and other visual defects. Site-specific defect types can be addressed with zero-shot detection and a small number of additional images.
Can we adopt AI even with limited defect data?
Yes. When real defects are rare and training data is difficult to collect, synthetic data generation can supplement defect images to achieve target model performance. A PoC can also start with around 10 available images.
What processes can AI be applied to beyond visual inspection?
It can be applied to incoming material inspection, production process optimization, material and inventory management, and minimizing equipment downtime. Because all of these use the same camera-based visual analysis, you can start with visual inspection and expand the scope step by step.
Can it run on production lines?
Yes. On-premises and edge deployment allow it to run within the production line without an internet connection. Cloud-based configurations are also supported.
How can we help
We’ll show you how Superb AI can help :
Curate effective datasets to improve model accuracy by >15%
Build more accurate computer vision datasets 10x faster
Train, diagnose, deploy AI models with just a few clicks
The world’s leading AI teams trust us
"Superb Platform has been extremely useful and the AI-driven data curation makes it even more ideal. The ability to curate datasets and curate mislabels allows us to quickly and effortlessly build high-quality datasets."
Blaine Bateman, Chief Data Scientist