Industry

• Manufacturing (C category)
• Plastic products manufacturing industry (22Medium category)

Industrial Pain Points

• High labor costs and deficiencies: Oil seal component refurbishment usually requires a large amount of labor, including disassembly, cleaning, inspection, repair, etc., resulting in high labor costs and possible labor shortages.
• Low production efficiency: The oil seal component refurbishment process can be tedious and time-consuming, and may require multiple steps and manual operations, making the refurbishment process inefficient and potentially limiting production capacity.
• Quality control is difficult: The quality of oil seal components is crucial to their performance and life. During the refurbishment process, there may be human factors and inconsistencies, leading to quality control challenges.
• Difficulties in data management and tracking: Effective data management and tracking are required for the process (providing traceability and quality assurance) and results of oil seal component refurbishment, and a complete system is required to confirm the accuracy and reliability of the data. Traceability.

Import AI benefits

• Improve detection efficiency and product quality: The automatic truing machine combined with artificial intelligence can quickly and accurately detect defects in oil seal components (including size discrepancies, surface defects, etc.) without the need for manual inspection one by one, greatly improving the efficiency of detection. And reduce the production of defective products, thereby reducing the cost of after-sales repairs and returns.
• Reduce labor costs: The automated defect determination process reduces the need for manual participation, and companies can use valuable human resources for other more valuable tasks.
• Optimize the production process: Artificial intelligence can analyze the data in the production process and find potential improvement points to optimize the production process.
• Improve customer satisfaction: Artificial intelligence can improve detection efficiency and product quality, enhance customer confidence in products, and enhance customer satisfaction and loyalty.
• Improving technological innovation capabilities: Using artificial intelligence in the refurbishment process of oil seal components can continuously improve and optimize technology and improve the competitiveness and market position of products.

Common AI technologies or applications

• Support vector machine: Using artificial intelligence such as support vector machine algorithms, extract and select the most representative features that can distinguish normal and defective oil seals.
• Convolutional neural network: Use artificial intelligence such as convolutional neural network algorithm to automatically learn features from pictures of oil seal components and perform defect detection and classification.

「Translated content is generated by ChatGPT and is for reference only. Translation date：2024-05-19」