(Force, AE, A, Multisensing)

Error proof Solution


(Force, AE, A, Multisensing)

Error proof Solution


should we use a
process monitoring monitor?

  • Since it is impossible to check the occurrence of defective products in real time, all LOT is inspected, which takes unnecessary time and money.
  • Defective products are produced because the troubles in the process cannot be grasped in real time, resulting in quality troubles and delays in delivery.
  • Tool breakage can damage the machine, increase the cost of tool, and cause poor quality.
  • It takes a lot of manpower and time and hinders factory automation because one operator has to be dedicated to one machine to monitor the process for any troubles.
MachineView™ is

“ With the introduction of the MV880 that uses artificial intelligence to automatically monitor processes, you can improve your productivity and quality through real-time production data collection and quality inspection, and reduce manufacturing costs. ”


use 3View’s MachineView™
rather than other process monitoring monitors?


The defect detection capability and productivity of a process monitoring monitor are inversely proportional to each other. If the defect detection ability is strengthened, the equipment stops more frequently.
Productivity will drop, and if productivity is emphasized, defect leakage will occur more frequently, increasing quality costs.

However, 3View’s MachineView™ does not detect defective products by simply reducing the range of error that is judged as defective, but AI precisely analyzes the pattern of the signal to analyze changes in the molding process in detail.

대지 1머신뷰

Enhance defect detection
capability with AI

Existing process monitoring monitors were
considered good if the forming force was within tolerance.

However, MV880 can be immediately judged as a defective product
if a forming force pattern different from that of the existing product is detected, even though the Forming force is within the tolerance range through a proprietary pattern analysis algorithm through AI.

* This function is only applicable to the MV880.

Check process state
changes using Machine learning

Self-collecting and learning product molding data, as well as changing the conditions of the machine over long periods of operation.

It provides a range of Forming force that can clearly detect defective products without hindering productivity by learning the conditions of production of goods, and automatically calibrates the real-time monitoring conditions by learning the temperature changes or process characteristics of the machine to prevent unnecessary macine shutdown.

대지 2머신뷰

01 _ AI Teaching to detect precise forming conditions

02 _ Easy-to-use operation

03 _ Barcode scanner, various digital meter connections

04  _ Product management, tool life management

05  _ Supports building up smart factory system
by interface with FactoryView™ package

l  Expectation effectiveness​

Reduce quality costs by early detection
of defective products

Quality improvement through forming force analysis and defect history analysis

Production process management
linked with FactoryView™

Powered by WordPress Inspiro WordPress Theme by WPZOOM