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The Benefits of Visual Inspection AI

The implementation of an artificial intelligence-based visual inspection solution such as Visual Inspection AI can lead to a number of benefits for manufacturing companies, greatly improving the supply chain of quality control. Among the main advantages introduced by this solution, the following are worth mentioning:

  • Very low response latency for checking possible defects in a product;
  • operator independence, in terms of cost, possibility of human error, centralization and subjectivity of knowledge;
  • Digitization of know-how and possibility of continuous evolution of evaluation performance;
  • Historicization of quality control data and their completeness, which can be consulted and measured at any time;
  • possibility of simple and integrated extension to new products and/or new production lines.

Visual Inspection AI can thus extend the benefits of digital transformation to quality control on products, introducing some specific benefits and others that are already known, for example,automation of low-value-added processes and the ability to collect key historical data for future analysis.

Some examples of the use of Visual Inspection tools

Visual Inspection AI can be used in a wide range of applications in manufacturing production. For example, it can be used for  detect cosmetic defects in automobiles, food products, electronic products, and aircraft components. In addition, it can be used to  inspection of the assembly, to detect defects such as missing or damaged components.

Data Integration for Greater Efficiency

In addition to automating the inspection process, Visual Inspection AI can help companies optimize their processes and prevent production defects in the future. By integrating supply chain data, companies can analyze the cause/effect relationship between process parameters and the presence of defects. In addition, using this data in a  business intelligence, companies can optimize their margins by cross-referencing information on costs, sales prices and production volumes with data on scrap and product quality.

Revolutionizing the production chain with Visual Inspection AI

Companies that are looking to improve product quality and increase company margins will find Google’s AI Visual Inspection solution a possible solution. This tool allows production defects to be identified and corrected quickly and efficiently, historicizing the data for future process improvement and, consequently, product and revenue.

Not only that, the use of Visual Inspection AI makes it possible to reduce the costs associated with manual defect inspection by digitizing the knowledge held by those performing the inspections and making it replicable across multiple production lines by containing staff training time.

Learn how Google’s Visual Inspection AI solution can help your business by improving efficiency, product quality and business margins.