AI- POWERED BEARING INSPECTION

DeepInspect- Visual Inspection Software for bearing inspection- tapered, ball, roller bearings, etc.

DeepInspect transforms bearing visual quality inspection through advanced machine vision and AI-powered bearing defect detection, enabling real-time identification of critical bearing defects. With precise bearing surface defect detection, it swiftly detects issues like cracks, surface scratches, dents, burrs, and all sort of visual defects. The system’s capabilities extend to dimensional accuracy verification and bearing ball count validation, improving the precision of bearing inspections. DeepInspect’s non-contact bearing inspection method minimizes the risks and errors associated with manual processes, providing a more reliable and efficient alternative. It integrates high-speed imaging and automated visual bearing inspection, enhancing throughput and reducing inspection times. The system also excels in raceway surface inspection, ensuring bearings meet the highest standards of quality. By focusing on minute defects, DeepInspect optimizes bearing durability and performance, offering manufacturers a more robust, accurate, and efficient solution for quality assurance in bearing production.

Deep learning in bearing quality control

APPLICATION

Impact

DeepInspect, bearing quality inspection software significantly improves bearing defect detection by automating the inspection process, ensuring precise identification of issues like surface scratches on bearings, bearing misalignment detection, OCV/OCR and wear analysis. It enhances efficiency, reduces errors, and ensures superior bearing quality control and compliance with industry standards.

Detect all kind of bearing defects with 99.5% Accuracy

Turning Defects

Surface defect detection spftware bearing

Grinding defects

Crack detection in bearings

Assembly Defects

Pitting and corrosion detection bearing

OCV/OCR

Ball count verification in bearing

Interested in Streamlining Bearing Quality Inspection Process?

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    How does DeepInspect improve bearing defect detection?

    DeepInspect automates bearing defect detection, ensuring accurate identification of issues like surface scratches on bearings, bearing misalignment detection, etc. improving overall inspection efficiency and product quality.

     

    What types of bearing defects can DeepInspect identify?

    DeepInspect can detect all kinds of bearing visual  defects such as surface scratches, misalignment, absence/presence, and other critical defects that may affect bearing performance

    What cameras do we support?

    We support Area Scan, Line Scan, and Thermal cameras. Our software is compatible with industry-standard vendors like Basler, Baumer, Allied Vision, FLIR, and others.

    How many images are needed to train DeepInspect's machine vision model?

    DeepInspect requires fewer than 200 good images for model training, significantly reducing setup time for AI defect detection in bearings

    Does DeepInspect need defective (NG) images for AI model training?

    No. DeepInspect uses unsupervised AI, eliminating the need for NG images in training. It streamlines AI in packaging industry setups.

    How long does it take to train a model with DeepInspect?

    Model training is completed in less than 45 minutes, allowing rapid deployment of vision inspection systems for bearing.

    How quickly can a production line demo be done with DeepInspect?

    A line demo for DeepInspect’s bearing inspection system can be conducted within a day, showcasing its fast implementation and ease of use.