SolVisionCase Study

Automotive | Petrochemicals, Plastics, and Rubber

DOT Tire Identification Number Inspection Using AI

Case

Tire Inspection for Safety and Performance

Inner wheels are essential components of tire assemblies, marked with unique Tire Identification Numbers (TINs). These identifiers are crucial for matching model specifications and tire sizes. Accurate inspection of these serial numbers ensures that inflated inner wheels maintain proper pressure and prevent deformation during operation. Properly matching inner wheels with suitable outer tires is vital for extending the service life of tires and enhancing overall reliability and performance. Mismatched tires can lead to safety hazards, making the inspection process an integral part of tire production.

SolVision's AI detects DOT Tire Identification Numbers on a tire during inspection using OCR technology

Challenge

Challenges in Inspecting Tire Identification Numbers

During tire production, tires are subjected to high pressure, load, and temperature processes. These conditions, combined with dust from machinery and environmental factors, often result in serial numbers that are blurry or uneven in color. Such defective Tire Identification Numbers pose significant challenges during inspection. Manually inspecting these numbers is difficult, and traditional rule-based systems, which lack advanced capabilities like optical character recognition (OCR) and AI, struggle with efficiency and accuracy in recognizing these vital identifiers.

Solution

AI-Driven Optical Character Recognition with SolVision

SolVision harnesses advanced AI technology to optimize the inspection of Tire Identification Numbers. It trains its models on a comprehensive dataset of sample images to perform optical character recognition, enabling accurate analysis of text and numbers. This system effectively identifies and reads serial numbers, even under challenging conditions like ambiguous printing or uneven colors. Enhancing the inspection process, SolVision boosts efficiency and reliability in tire production, helping manufacturers reduce manual errors and uphold quality standards.