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Process Inspection

Solution brief

Currently, some processes in the manufacturing industry cannot be automated and need to be done manually. Manual operation has such problems as efficiency, large 

differences in operating results, operating errors, etc., affecting quality, resulting in after-sales complaints, rework and a series of problems. Therefore, engineers and 

enterprises hope to have a set of tools or systems to achieve real-time monitoring of production conditions and assembly actions, monitoring errors, eliminating 

unnecessary wasteful actions, obtaining data and analyses to improve production efficiency, and real-time mastery of production conditions.


Dihuge process monitoring solution is mainly used to detect the real-time operation process of the workers at the workstation, monitor the operation errors, count the 

average time of each process, provide data basis for the improvement of the quality and efficiency of the workstation, and verify the improvement efficiency, which is an

 integrated system of quality control and overall labour productivity (OLE).


Solution function

The manual process is monitored in real time, core data is collected and statistically analysed and pushed synchronously.

Bright spot

Deep learning technology, image processing technology and other technologies are introduced into the industrial process to improve detection efficiency, save manpower, improve the collection of data, and complete the statistical analysis based on the data.
  • Contactless vision acquisition of data eliminates the need for line modifications and worker changes to adapt to the system.
  • Detect real-time job sequences, missed/wrong materials or steps, and push alerts and messages for bad jobs.

Application scenario