Solution > Applications of LiDAR in Industrial Manufacturing
Applications of LiDAR in Industrial Manufacturing
Applications of LiDAR in Industrial Manufacturing
Non-contact micron-level measurement, multi-sensor collaborative detection, and real-time data traceability and analysis.
Medium distance light pulse series
Solution Consulting
Industry & Project Overview
In modern industrial manufacturing, traditional contact-based measurement methods are insufficient to meet complex production demands. Laser ranging inspection systems acquire workpiece dimensional data in real time through non-contact methods, avoiding errors caused by mechanical wear and effectively reducing product defects. The system employs multi-sensor collaborative operation to comprehensively capture changes in the three-dimensional shape of the workpiece, identify potential deviations in advance, and reduce the generation of defective products. The inspection process requires no manual intervention, and the measurement results are directly transmitted to the control system for coordinated adjustments with production line equipment. The digital management platform integrates all inspection data, enabling full traceability of product quality, providing a basis for process optimization, and reducing resource investment in manual quality inspection.
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Application Scenarios
  • Micrometer-level size measurement enables full inspection to replace random sampling.
  • Real-time monitoring of high-speed production lines ensures processing accuracy.
  • Clearance control in complex assembly processes to prevent product defects
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Technical Solution
  • Measurement accuracy up to ±10μm, meeting the requirements of precision manufacturing.
  • With a response speed of up to 1000Hz, it is suitable for high-speed production line testing.
  • Multi-sensor networking technology enables full coverage in three-dimensional space.
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Customer Value
  • Real-time quality alerts reduce defect rate by over 80%.
  • The entire process from detection to feedback takes less than 5ms, ensuring production line continuity.
  • Data-driven decision-making enables full-process traceability of quality.
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Technical Highlights
  • Supports simultaneous acquisition of up to 16 measurement points, covering complex workpieces.
  • Collision risk prediction accuracy >99%, preventing equipment damage.
  • Test data is uploaded to the cloud in real time, supporting big data analysis of quality.
Application Examples