Keye Vision Inspection system
  • Algorithm Upgrade | Expanding New Skills to Empower the Intelligent Journey
    Algorithm Upgrade | Expanding New Skills to Empower the Intelligent Journey Sep 20, 2024
    Technological innovation is a core element in developing new quality productive forces. Continuously strengthening innovation in artificial intelligence technology is essential for achieving high-level technological self-reliance and self-improvement. Labor materials with higher technological content provide a powerful source of motivation for producing new quality productive forces. KeyeTech is deeply engaged in the artificial intelligence sector, continuously exploring and researching algorithms and computing power. In 2023, KeyeTech successfully developed its own AI computing unit, significantly accelerating the progress of visual inspection. In 2024, KeyeTech also achieved significant breakthroughs in algorithm research... "It" the Efficient Assistant for Annotation In the era of big data, data is undoubtedly a valuable resource. However, efficiently and accurately annotating vast amounts of data has become a significant challenge. Traditional manual annotation methods are inefficient and prone to errors. The application of KeyeTech's automatic annotation function is like a timely rain, opening new doors for data annotation. Automatic annotation is based on deep learning and natural language processing technologies, capable of automatically recognizing text and image data. With just a click of the mouse, it can accurately identify and annotate sample defects, greatly improving annotation efficiency and significantly enhancing annotation quality. "It" the Data Screening Steward Compared to traditional training methods, KeyeTech places greater emphasis on meticulous data screening and strict quality control. Only positive samples that meet the requirements are selected for training, avoiding interference from incorrect or unexpected data during model training, thereby improving the accuracy and reliability of the model. The core of positive sample training lies in its ability to learn from good product samples, enabling the machine to accurately identify and output correct training results, significantly enhancing recognition capabilities and data output accuracy. A New Pathway Toward the Intelligent Era With continuous technological innovation and the expansion of application scenarios, artificial intelligence is demonstrating limitless potential. For intelligent enterprises, optimizing upgrades, reforming innovations, and self-research production are crucial for development and progress. Looking to the future, artificial intelligence will widely empower more fields, injecting vitality into the intelligent era. KeyeTech will refine its "skill value," unlock its "future power," and continue to delve into artificial intelligence, embarking on a new pathway toward intelligence and opening a new chapter of wisdom!  
  • Why is Light Source Important in Product Appearance Defect Detection?
    Why is Light Source Important in Product Appearance Defect Detection? Aug 27, 2024
    In recent years, the concept of AI has been widely accepted by the public, and AI visual inspection is gradually being applied in the industrial sector for the detection of product appearance defects. Appearance defects in products can negatively impact aesthetics, comfort, and overall performance. This is why manufacturing companies are keen to detect these flaws promptly, allowing them to control quality and enhance the product's added value. While the importance of algorithms in AI visual inspection is often emphasized, the lighting source directly affects image quality. The primary role of the lighting in AI visual inspection equipment is to overcome the interference from ambient light, ensuring image stability and achieving the highest possible contrast. High-contrast imaging makes it easier to detect product defects. At KeyeTech, our AI image recognition equipment not only employs deep learning-based algorithms but also features our self-developed optical imaging system.   Design of Imaging Angles and Intensity in 3D Space Currently, our AI image recognition devices utilize an optical imaging system where the lighting source configurations are categorized based on illumination methods: bright field and dark field illumination, structured light and strobe light. These methods work in conjunction with both the surface and internal characteristics of the objects being inspected, enabling comprehensive relational analysis. By projecting the light source onto the inspected objects and analyzing the distortions produced, we can demodulate the 3D information of the objects, allowing for precise location of product defects.   Multispectral Imaging from Ultraviolet to Infrared KeyeTech's optical imaging system employs a full spectrum of ultraviolet to infrared, including polarized and fluorescent methods, to achieve comprehensive 360° detection of the objects. Defects invisible to the naked eye can be revealed with complete clarity, ensuring no blind spots or overlooked areas.   Energy-Efficient and Durable Our optical imaging system uses LED lighting, which is compact, energy-efficient, and features fast response times. It also offers excellent monochromaticity, high reliability, and uniform, stable light output, making it easy to integrate for optimal imaging results on products.

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