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AI Vision

AI Vision

 

As the core optical component of AI vision system, industrial lens provides reliable input for deep learning algorithm through high-precision imaging in intelligent manufacturing. The specific application scenarios and technical solutions are as follows:

1. High-precision quality inspection and defect identification

 

‌-Micron-level defect detection‌

 

The microscope lens (10:1 magnification) is paired with a 5μm pixel camera to identify chip solder joints and 0.005mm-level defects of electronic components, and the AI ​​model detection rate is >99.9%.

 

Surface crack detection of steel: The AI ​​system identifies 0.02mm cracks within 0.1 seconds, replacing manual quality inspection.

 

-‌Adaptability to complex materials‌

 

‌Anti-glare coated lens‌: Combined with a 70° annular optical path design, it suppresses welding spark interference and maintains positioning accuracy of ±0.2mm.

 

‌Infrared optimized lens‌ (8–14μm band): Penetrates the oil layer for imaging, and the metal substrate defect detection rate is >92%.

 

2. Robot intelligent operation guidance

 

‌-Submillimeter-level grasping and positioning‌

 

The dual telecentric lens (distortion <0.05%) eliminates perspective errors, and with a 5-megapixel camera, the robotic arm grasping position deviation is ≤±0.01mm.

 

The AI ​​algorithm analyzes images in real time, dynamically plans trajectories, and adapts to the grabbing of disordered stacked workpieces (such as logistics sorting efficiency of 8,000 pieces/hour).

 

-‌Inner cavity and curved surface operation‌

 

The 360° panoramic lens uses the prism optical path to achieve blind-angle imaging of bottle caps and bearings, and supports AI multi-angle feature recognition.

 

The endoscope lens guides the robot arm to complete the inner wall operation of cavity workpieces such as battery disassembly

3. Dynamic scene perception and optimization

 

‌-Real-time environment modeling‌

 

The fisheye lens (viewing angle > 180°) is combined with the SLAM algorithm to build a mobile robot map, and the obstacle recognition response is < 100ms.

 

The M12 micro lens (diameter ≤ 12mm) is embedded in the AGV chassis, and the anti-vibration design ensures the stability of ground feature tracking.

 

-‌Production process optimization‌

 

The AI ​​visual box analyzes the material flow of the assembly line, identifies the equipment waiting or failure links, and proposes efficiency improvement plans

4.Special scene applications
5.Key factors for selection

 

‌-Optical-algorithm matching‌

 

‌Resolution‌: Positioning accuracy of 0.1mm requires lens resolution ≥120 lp/mm (matching 5-megapixel camera).

 

‌Focal length calculation‌: Focal length = (working distance × sensor height) / target height (e.g., 44mm focal length is required to detect a 100mm target at a distance of 500mm).

 

-Environmental robustness‌

 

IP54 protective lenses are selected for dust scenes, and 150℃ resistant coated models are used for high temperature areas.

 

The flange distance tolerance of the C/CS interface must be <±0.03mm to prevent vibration and defocusing.

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