SEGMENTATION AND LEARNING
It uses various techniques and approaches based on deep learning to perform this complex segmentation task.
INSTANCE SEGMENTATION MASK
Once trained, the instance segmentation algorithm can be applied to new images, identifying the present objects and providing an accurate segmentation mask for each instance.
SINGLE TRACKING
Segmentation masks are useful for isolating and analyzing each object separately, facilitating recognition, tracking, and analysis of specific object properties.
Applications
The instance segmentation algorithm is an essential tool in artificial intelligence and machine vision, allowing for the identification, separation, and analysis of individual objects within an image. Its ability to provide precise segmentation masks offers high versatility and accuracy in applications where distinguishing and analyzing objects separately is necessary, opening the way to numerous opportunities for image automation and advanced analysis.
MANUFACTURING PRODUCT INSPECTION
The algorithm can be used for product inspection, such as identifying and separating each part or component of a vehicle in an automotive company, allowing detailed inspection of each component instance.
OBJECT CLASSIFICATION
The algorithm can count the number of packaged products on a line or classify objects based on their sizes or shapes.
MATERIAL DEFECT ANALYSIS
The algorithm can analyze defects or imperfections in materials such as metal sheets or electronic components, accurately identifying and outlining areas with surface or internal defects.