Tire Character OCR Detection

Purpose and Industry Challenges:

In tire manufacturing, warehousing, and logistics, accurate product identification and quality control are essential for traceability and safety. Manufacturers need to reliably read tire sidewall characters (OCR) while also measuring tread depth to ensure each product meets specification.

However, this process is technically challenging. Tire surfaces are curved, which often causes defocus in traditional 2D imaging systems. Deep tread patterns create shadows and distortions, making measurement and character recognition less reliable. In addition, black rubber materials absorb light, resulting in low contrast for standard vision systems. These issues are further compounded by high-speed production lines, where inspection must be completed quickly without sacrificing accuracy.

Detection Targets:

• Tire sidewall characters (OCR)

• Tread depth and surface profile

Image: Tire Character OCR Detection

Solution: SRI7400R 3D Laser Profiler

1. SinceVision SRI7400R uses rotational 3D scanning to capture the full tire surface with high accuracy.

2. Rotational scanning eliminates blind spots on curved surfaces

3. Single-pass horizontal scanning based on tire diameter

4. Maintains focus across uneven tread and sidewall surfaces

5. Completes full inspection within 2 seconds

Key Technical Features:

1. 650 nm red laser optimized for low-reflective black rubber

2. Up to 720 mm ultra-fast scanning range

3. High-speed acquisition: approximately 0.48 seconds for a 19-inch tire

4. High-resolution 3D data for OCR and depth measurement

Advantages:

• One-time imaging with full surface coverage

• Accurate OCR recognition on curved tire sidewalls

• Stable tread depth measurement under high-speed conditions

• Built-in rotation calibration for accurate image reconstruction and alignment

• Suitable for automated production lines and logistics systems