Vision technology is used to detect product defects.

Enhancing quality control through advanced defect detection solutions.

A digital camera is mounted on a tripod, capturing an image of machinery or equipment from a screen. The screen displays a detailed view of the equipment. The setting appears to be industrial with metallic and green components.
A digital camera is mounted on a tripod, capturing an image of machinery or equipment from a screen. The screen displays a detailed view of the equipment. The setting appears to be industrial with metallic and green components.

Data Collection

Gather a diverse dataset of product images, defect annotations, and quality control records from industries such as electronics, automotive, and consumer goods.

A glowing neon sign displaying the letters 'AI' is mounted on a dark, textured wall that resembles a circuit board or technological pattern.
A glowing neon sign displaying the letters 'AI' is mounted on a dark, textured wall that resembles a circuit board or technological pattern.

Model Fine-Tuning

Fine-tune GPT-4 on the visual inspection dataset to optimize its ability to analyze images, detect defects, and classify them into relevant categories.

A detailed view of a robotic device featuring a bright orange casing with multiple cameras or sensors. The design includes perforated sections for ventilation and exposed mechanical parts, indicating advanced technology and engineering.
A detailed view of a robotic device featuring a bright orange casing with multiple cameras or sensors. The design includes perforated sections for ventilation and exposed mechanical parts, indicating advanced technology and engineering.
A person is using a handheld device with a screen, possibly an electronic tool or microscope, to inspect the rear part of a car. The focus is on the equipment and the car’s rear section, which is slightly open, revealing some of the car's interior structure. The person's arm is visible with a tattoo and a watch.
A person is using a handheld device with a screen, possibly an electronic tool or microscope, to inspect the rear part of a car. The focus is on the equipment and the car’s rear section, which is slightly open, revealing some of the car's interior structure. The person's arm is visible with a tattoo and a watch.

System Development

Develop an AI-powered visual inspection system that integrates the fine-tuned model to provide real-time defect detection and quality control recommendations.

Performance Evaluation

Use metrics such as defect detection accuracy, false positive rate, and inspection speed to assess the system’s effectiveness.

Expected Outcomes

This research aims to demonstrate that fine-tuning GPT-4 can significantly enhance its ability to detect product defects and improve quality control processes. The outcomes will contribute to a deeper understanding of how advanced AI models can be adapted for visual inspection applications. Additionally, the study will highlight the societal impact of AI in reducing manufacturing defects, improving product quality, and advancing the field of automated quality control.

Inspection

Optimizing quality control through AI-driven insights.

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