Reducing assembly line defects

AI-powered production offers a new approach to defect reduction.

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Today’s constraint: Too many quality issues, too few engineers.

For any given defect or deviation, engineers have to follow intense root cause analysis and resolution processes. It’s an exhausting procedure that takes hours or days to complete.

Your engineers can keep up with the most frequent defects, but the long tail keeps extending faster than they can keep pace.

How can you get ahead of your quality problems?

AI-Powered Production helps you do more

Drishti installed in HELLA factory

With AI-Powered Production, cameras continuously monitor the process for continuous measurement and complete video traceability.

This video and data can be used to rapidly understand the root cause of any given defect, so you can quickly solve them.

Quality reporting methodologies are simplified when you can include video clips. If a picture is worth 1,000 words, a video is worth a million.

Plus, the videos and data can be used to design and iterate on countermeasures, as well as to coach operators on the line.

Users include:

  • Quality engineers for dramatically accelerating root cause analysis and increasing their capacity to solve quality-related issues
  • Operations and engineering teams to turn video of assignable root cause into process improvements
  • Supervisors and trainers to help operators learn from videos of defects, much in the way athletes use instant replay

One Drishti customer has around ten lines producing similar goods. Drishti was initially installed on just one of those lines, where the customer used it for rapid root cause analysis on defects or abnormalities. This let them quickly correct the process or improve operator performance.

In the six months prior to installing Drishti, this customer had 26 in-process defects on this line. In the six months following Drishti’s installation, the number of defects was just 13 for this line. Meanwhile, the lines without Drishti showed no such improvement.

Just some of the things you can do with video traceability

Root cause analysis
Faster reporting
Operator training and performance improvement
Countermeasure design
Product design improvement
Digital collaboration

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See Drishti’s AI and video traceability technology in action.