
Eyve: AI-powered AOI inspection for any defect
Characteristics:
- Integrated Artificial Intelligence: Eyve uses advanced computer vision and AI algorithms to detect faults and anomalies with high accuracy.
- Local Self-Training (Simple): The system is capable of learning from its own inspections and continuously improving without the need for constant intervention, and easy local training without the need for an internet connection (Data Privacy Always Under Your Control).
- Applicable to Multiple Industries: From electronics and automotive to manufacturing and food, Eyve is a versatile solution that adapts to any environment, any industry, and any defect.
- Low Processing Requirements: Eyve is compatible with mid-range processing equipment, allowing for deployment in a wide variety of environments and easy implementation for demanding environments, improving hardware.
- Adaptability and Scalability: Eyve can be configured for multiple tests and jobs, ensuring it is a long-term investment.
- Open Platform (AOI): Using YOLO + Python can be configured by your own team for improvements, additional inspections, new detections, or counting on SBC support for the initial setup of your inspection.
Advantages
Take a Look
Check out Eyve in action in our demo video at SMTA Expo Guadalajara, where we showcased its ability to detect, count and sort components in real-time.
Eyve 2.0 (2025)
Review and review the training sequence on-site, using default tags and saving the training steps locally. Currently, 10 samples achieve a detection confidence of 90% (vs. Eyve 1.0, which required 60 samples).
Technical Specifications
- Model: Eyve Base (AOI)
- Processor: Alder Lake N95 16GB Mini PC
- Memory: 16 GB
- Camera: *USB C920
- Training: 3 SKUs
- Compatibility: Any light system, UV, UR, etc.
- Export Data: JSON, CSV, Text, Excel or Client encoding
- Processing Time: *19 - 293 ms
- GPU: Not required (Recommended in intensive processing environments)
- Training: Based on OK Samples and Non-OK conditions
* You can use any camera/lens, even analog ones, via video capture.

Common Applications
- Inspection of Electronic Components: Ideal for counting, checking orientation and detecting defects in components in JEDEC trays or other types of carriers, assemblies.
- Quality Control in Production: Performs automatic real-time inspections on production lines, detecting defects before they become major problems.
- Customization by Industry: Eyve can be adapted to any manufacturing process, adjusting to the specific needs of each industry.
- Inspection of Steps During Assembly: Review a correct assembly sequence in real time, including assembly parts, defects, tools, and left- and right-hand separation.

Request your free technical demo!
Contact us and request your demo!
If you want to know more about how Eyve can transform your inspection and quality control process, please feel free to contact us. Our team of experts is ready to answer your questions and help you integrate Eyve into your production line. The smart choice for high-precision inspections and quality control in industrial environments. Take your production to the next level with our AI inspection system, designed for any defect, in any industry!
Why Choose Automatic Inspection Systems? - AOI
Automatic inspection systems offer a modern and effective solution to ensure quality at every stage of production. Through advanced technologies such as artificial intelligence and computer vision, these systems are able to detect defects with unmatched accuracy, significantly reducing human errors and increasing consistency in product quality.
In addition, they enable real-time inspections, optimizing operational efficiency and allowing for rapid detection of problems that could lead to additional costs or delays. With the ability to adapt to various industries and self-improve over time, automatic inspection systems are a strategic investment for any company looking to improve its quality control and maintain high production standards in an increasingly competitive market.
Where does automatic inspection fit in?
AI inspection detects the defect, but the value lies in what is done afterward. In our own lines of taping of components and microphone programming Inspection is part of the process, not a separate step. The rest of the equipment catalog is in teams.