• Defect Detection :

  Visual AI analyzes images of products during the manufacturing process to identify and isolate defective parts.
  This is used to quickly detect and reject faulty products.

• Automatic Assembly and Inspection :

  Visual AI works in conjunction with robots or automation systems to support the assembly process of products or inspect the quality of products after assembly.

• Production Monitoring :

  It monitors metrics like product quantity, speed, and quality on the production line, recording data to optimize the production process.

• Resource Management :

  By monitoring factors such as energy consumption and material usage, it efficiently utilizes resources, leading to cost savings in production.

• Predictive Maintenance :

  It assigns identifiers to manufactured products, allowing for the tracking of the production process or recognizing unique products.

• Product Tracking and Identification :

  It assigns identifiers to manufactured products, allowing for the tracking of the production process or recognizing unique products.

• Worker Safety and Training :

  It monitors the safety of workers, detects hazardous situations to protect workers, and provides safety training.

In this manner, Visual AI enhances the manufacturing process, contributing to increased productivity and improved product quality.