Keye Technology's cloud-enabled core weapon for packaging inspection is unparalleled.

Industrial environments are complex, making it difficult to collect sample data, especially scarce defect samples. Furthermore, new defects are prone to appear in customer products, rendering traditional equipment and algorithms inadequate and causing production delays. To address this, Keye Technology has independently developed the KVIS-AI cloud training platform. Based on its self-developed AI vision algorithm library, it enables one-stop cloud-based construction of industrial AI vision inspection models, simplifying model building and update processes.The KVIS-AI cloud training platform boasts three core advantages: First, it incorporates a massive library of basic models, such as defect models, target models, and classification models. When encountering new product defects, it labels and trains models based on collected samples, enabling model training and deployment within one hour. For rare defects with insufficient sample sizes, it can generate models based on defects and train models on good products, effectively addressing the pain point of sample shortage. Second, it can rapidly respond to production line needs. When new defects appear, only 40-50 new defect images need to be uploaded to the cloud training platform to complete the establishment and deployment of the detection model. Third, the KVIS-AI cloud training platform's algorithms iterate in real-time, continuously updating with the latest technologies to ensure customers always use the most advanced models. Leveraging server resources for training, the KVIS-AI cloud training platform does not occupy on-site equipment resources or disrupt on-site production, placing it far ahead of other visual inspection manufacturers in the packaging industry.