Avocado AI Image Intelligent Analysis Platform

Avocado AI Image Intelligent Analysis PlatformIt is an important product of Xili Technology in the field of artificial intelligence, integrating deep learning, computer vision, and image processing technologies to provide comprehensive and efficient image intelligence solutions for the industrial sector. The core functional modules of this platform include object segmentation, object recognition, 3D point cloud measurement, intelligent data analysis, automated processes, etc. Through advanced deep learning algorithms, the Xili avocado AI image intelligent analysis platform can accurately recognize various microscopic images, including surface morphology, defect detection, size measurement, image segmentation, etc., greatly improving the accuracy and efficiency of detection. In addition, the platform can also perform real-time analysis of detection data, provide visual reports and warning functions, and assist users in reducing costs and increasing efficiency.

Core technology module

Target segmentation: Through deep learning, comprehensively understand the complex content of microscopic images and effectively extract target objects.

Object recognition: Based on deep learning and combined with traditional image processing algorithms, accurate measurement and statistical classification of target objects are achieved.

3D point cloud measurement: effectively detects target size in complex noise backgrounds, achieving high repeatability and stability.

Data analysis: Real time data analysis supports real-time decision-making, closed-loop feedback, and helps users optimize production processes.

Automated process: Supports automated processes from image and 3D point cloud data acquisition to result analysis and statistical reporting, achieving intelligence and efficiency throughout the entire detection process.

Avocado AI Image Intelligent Analysis PlatformApplication field

Semiconductor manufacturing: used for detecting surface defects and measuring dimensions of chips, improving production efficiency and product quality.

New energy vehicle manufacturing: suitable for testing the quality of batteries and other key components.

PCB manufacturing: used to detect defects on circuit boards and ensure that products meet specifications.

Features:

Small sample size and lightweight: Through deep learning, comprehensively understand the complex content of microscopic images and effectively extract target objects.

Easy to use: Based on deep learning and combined with traditional image processing algorithms, it achieves accurate measurement and statistical classification of target objects.

User benefits

Improved efficiency: Production inspection efficiency has been improved through automation and accurate image recognition.

Reduce costs: Automated processes and real-time analysis help to lower production costs.

Improving product quality: Comprehensive image recognition and real-time data analysis can help improve product quality.

Summary:

Overall, the Xili Avocado AI Image Intelligent Analysis Platform is a powerful, comprehensive, and easy-to-use digital intelligent product that provides a comprehensive image intelligent solution for the industrial product inspection field. It is expected to help users achieve the goals of efficiency improvement, cost reduction, and product quality improvement.

After the test is completed, an Excel document report can be generated with one click, containing various contents such as test time, test photos, measurement data, etc; And the table can be imported into the MES system with just one click, making it convenient for customers to monitor product quality in real-time.

Automatic output of measurement report

The client's laboratory originally had about 30 employees responsible for PCB slicing sample preparation, observation, and measurement. By using the avocado AI platform, the number of employees in the laboratory was reduced to less than 10.