Introduction
AIDI (Artificial Intelligent Defect Inspection) is an industrial vision software platform based on deep learning, which empowers a variety of industrial applications. It is designed for the tasks of location, detection, classification and recognition of complex defects and characters, with strong compatibility. AIDI integrates a variety of application modules, without programming required. It can help users quickly build and iterate models, which can meet the various needs of different application scenarios, and promote the upgrade of intelligent industry.
Downloads
Four Functional Modules + OCR Toolkit
Location
Designed to detect the location of single or multiple objects in an image, it is often used to quickly locate targets in complex applications with diverse targets and poses.
Segmentation
Designed to perform pixel-level inspection of images, it can accurately identify the location and category of defects. It is often used to detect small defects on the surface of products.
Classification
Designed to determine the category of the entire image, it is often used for defect classification and product classification.
Detection
Designed to perform region-level detection on the images to accurately identify objects or defects, it is often used in block surface defect detection, multiple objects detection and other applications.
OCR
Designed for accurate location and efficient recognition of characters in images, it is often used to quickly read the character information of products or components in various complex applications.
Core Advantages
Strong Detection Ability
Complete and Easy to Use
Low Requirements for Hardware
Strong Adaptability
Fast Calculation
High Detection Accuracy
Less Sample Dependence
3D Detection Support
Workflow
Configuration Requirements
