Manufacturing

Improve, automate and control manufacturing processes with computer vision applications

Computer Vision in Manufacturing

Computer Vision is advancing the manufacturing industry with growing adoption of applications like defect detection, process monitoring and accident prevention. SUPA enables ML teams to get labeled data fast, accelerating model building and driving business value.

What our clients say

“What surprised me is the amount of insight I could gather with smaller batches of data - not only did I discover more edge cases, I could also quickly change up my instructions and launch a revised batch within hours. I was also able to view the labels as they were being generated, which gave me quick feedback about the label quality, rather than waiting for the whole batch.”

Sravan Bhagavatula
Director of Computer Vision

“Our team members were able to smash our goals quicker than we did before”

Annabelle Porter,
Customer Service Officer

“Our team members were able to smash our goals quicker than we did before”

Annabelle Porter,
Customer Service Officer

Manufacturing use cases

Supply chain optimization

  • Detect and act on inconsistent supplier quality levels
  • Forecast the demand of parts to prevent stock outs
  • Ensure consistent lead times for orders

Anomaly detection

  • Filter and find rare occurrences in a data pipeline
  • Common domains include financial fraud, irregularities in time series analysis, fault detection and system health monitoring in sensor networks

Safety detection

  • Track the progress of the assembly line
  • Analyse and prevent workplace accidents in real time with vision-guided robots
  • Detect safety violations

Supply chain optimization

  • Detect and act on inconsistent supplier quality levels
  • Forecast the demand of parts to prevent stock outs
  • Ensure consistent lead times for orders

Anomaly detection

  • Filter and find rare occurrences in a data pipeline
  • Common domains include financial fraud, irregularities in time series analysis, fault detection and system health monitoring in sensor networks

Other manufacturing use cases

Product quality inspection

Automate the detection of defects on the assembly line. Machines help to assess complex surfaces and detecting cosmetic defects, reducing the chances of human error in QC.

Predictive maintenance

Using computer vision to notify your maintenance team of the stress on specific machinery. Predictive analytics will flag issues so you can avoid production downtime.

Thermal imaging

Recognize material types through temperature patterns, enhanced security surveillance and automatic electrical inspection of manufacturing lines.  Detect overheating and overloading.