AI

AI has the potential to transform the manufacturing industry. It can make changes in various fields, but VRNJ focuses on changes in the industrial sector.

AI robots can increase productivity and reduce costs by automating repetitive tasks. Increase opportunity costs through more accurate demand forecasting and optimal supply chain management.

Predictive maintenance can help you reduce regular maintenance costs and prevent equipment downtime to maximize productivity.

What is important in quality inspection is to maintain consistency in inspection criteria.
Depending on the inspector, you can prevent human errors and regularly inspect the quality of the product based on data that is sometimes unrecognizable to humans, such as humans.

Vision

Smart camera vision technology can check tracking and collect data at all stages of the production process.

The vision system is also accurate in conveyor belts that are faster than the human eye can see. Immediately improve quality and efficiency to help eliminate process defects.

The vision system allows you to perform 100% inspection of the process. Indeed, reduced errors lower production costs while increasing customer satisfaction.

Reference
We classify and detect various types of defects such as missing, incorrect mounting, flipping, and positional separation of all elements in the PCB.
Solution to analyze worker behavior patterns to inspect missing work processes
It determines and recognizes the quality of the process without a separate shield or vision booth to detect and inform users of defects in real time
It detects real-time process defects that cannot be distinguished by human eyes using IR cameras and AI.

Time series data

Time series data is data that represents the temporal sequence of data measured at regular time intervals.

This data represents information generated at successive time intervals and contains a history of the finished product, which can guide how it can be improved at some point during the manufacturing process, for some reason.

Time series data collect and analyze various data occurring in the field to predict various defects and variables.

Reference
Detection of leak defects of various sizes inside the battery cell through technology characterizing changes in appearance expansion as the outside pressure changes.
Real-time monitoring of prediction/sensing conditions expressed by graphically visualizing pressure change patterns and judgment grounds.

Predictive Maintenance

Predictive maintenance utilizes a variety of technologies, including Internet of Things (IoT), predictive analysis, and artificial intelligence (AI)

Each data collected is analyzed by an artificial intelligence algorithm to match the characteristics of the data, and the user is informed by predicting the failure of the facility or by judging the condition.

Reference
Analyze all operational conditions of the equipment using sound data alone.
Informs users to detect failures and performproactive maintenance
A vibration sensor analyzes the condition of power equipment such as motors in real time. In the event of a defect, it tells you what type of defect it is and how to deal with it.
Ensure that defect occurrence can be predicted in advance, minimizing DOWN time by maintenance.