Averroes: Automated Visual Inspection Software
Averroes helps manufacturers in sectors like semiconductors and electronics automate defect review. It is designed for teams looking to support inspection accuracy without investing in new hardware.
At a glance
- Category
- Operations
- Best for
- High-precision manufacturing plants, Quality assurance managers, Operations leads in electronics and semiconductor firms, Companies using existing AOI equipment
- Pricing
- Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
- Key use cases
- Semiconductor Wafer Inspection, Quality Assurance Automation, Virtual Metrology, Anomaly Detection
- Integrations
- KLA Tencor, AOI devices, Onto devices
- Official website
- averroes.ai
Averroes is an automated visual inspection platform designed for high-precision manufacturing. It uses deep learning to identify, categorize, and segment defects in production lines, which may help reduce the need for manual review and subjective judgment.
The software is designed for operations managers and quality assurance teams in industries such as semiconductors, solar, pharma, and electronics. As a no-code platform, it supports the training of custom AI models using a small set of images without requiring programming expertise.
Buyers can choose between on-premise deployment for privacy and speed, or cloud-based deployment for scalability. The system is designed to work with existing equipment, which may reduce the need for additional hardware investments.
Before choosing this tool, buyers should confirm how the software's data labeling and segmentation features align with their specific defect types and verify the integration process with their current image publishers.
Key Features
Supports training and deploying custom AI inspection models without programming skills.
Uses deep learning to detect and categorize defects, including masking defect areas for analysis.
The AI model uses active learning to help improve accuracy over time as it processes new data.
Supports both on-premise installation and cloud deployment.
Designed to detect unknown anomalies that may not have been pre-configured in the system.
Provides tools for image annotation and smart segmentation to support dataset preparation.
Use Cases
Detecting and classifying submicron defects in semiconductor wafers to support yield improvement.
Using automated AI judgment for defect review to help reduce subjectivity.
Analyzing images during film deposition to assess film thickness and uniformity in manufacturing.
Using the WatchDog feature to identify unexpected defects in the production process.
Best For
Integrations
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
FAQ
No, it is designed to integrate with existing visual inspection equipment, such as KLA Tencor, AOI, and Onto devices, without requiring new hardware.
The platform is designed to generate visual assessments using approximately 20 to 40 images per defect class.
Yes, the software offers an on-premise deployment option for users who prioritize privacy, speed, and security.
Source category: Operations
Source subcategory: Computer Vision
