The era of artificial intelligence has arrived, forging the intelligent capabilities of the entire lifecycle of the lithium battery industry has become a new means for enterprises to reduce costs, increase efficiency, and enhance competitiveness.

From the perspective of the production and manufacturing process of lithium batteries, defects such as burrs, scratches, exposed foil, bubbles, wrinkles, dark spots, bright spots, and material dropout generated in various stages such as battery materials, battery cells, and PACK packaging will seriously affect the performance and quality of lithium battery products. Battery companies are more demanding on the accuracy, speed, image transmission, and defect analysis of production line processes.

In the context of large-scale manufacturing in the lithium battery industry, promoting the intelligent iteration of machine vision technology and taking battery quality control to a new level has become an inevitable requirement for lithium battery enterprises to move towards large-scale intelligent manufacturing. It is also an inevitable choice for lithium battery production enterprises to solve quality and efficiency problems and achieve upgrading from ppm to ppb.

Based on this, machine vision enterprises with core competitiveness and the ability to respond to lithium battery intelligent transformation in a one-stop manner will have huge development opportunities.

Following the development trend of the lithium battery industry and through continuous technological innovation and industrial verification, Taisi Precision has officially launched the iSense AI intelligent visual inspection platform.

This platform is an end-to-end full process AI industrial quality inspection platform developed by Taisi Precision based on deep learning systems, focusing on the industrial AI technology capability matrix. Based on the system platform of "1+N+X=∞", the iSense AI intelligent visual inspection platform can provide accurate, efficient, and intelligent inspection services for the entire process of lithium battery production.

By combining multiple modalities and multiple application scenarios, and iterating through the underlying algorithm logic of Huahan Weiye, over 10000 visual system deployment solutions can be formed in different industries, providing deep and customized services for machine vision detection in various enterprises.

By creating a full stack/one-stop intelligent machine vision solution for the production process of lithium batteries, Taisi Precision iSense AI will also greatly improve the production efficiency and quality control capabilities of related enterprises, empowering the intelligent transformation of lithium batteries throughout their lifecycle.