product presentation

In industrial vision inspection, traditional monocular laser 3D scanning systems frequently encounter occlusion challenges when workpiece surfaces exhibit undulations or complex geometries. This issue becomes particularly pronounced in high-order aberration and highly reflective materials like Pin needles, where point cloud noise rates may exceed 30% accompanied by significant data loss, directly compromising positioning and inspection accuracy.

To address this, Next Vision Tech introduced the 3400DL binocular single-laser camera, specifically designed to resolve occlusion blind spots. Through binocular collaborative acquisition and intelligent data fusion, it achieves complete reconstruction of occluded areas with noise suppression, thereby redefining the reliability boundaries of high-precision 3D vision.

Product features:

Integrated and easy to deploy

The dual-sensor highly integrated design eliminates the need for traditional 'head-to-head' camera stitching and complex on-site calibration, significantly simplifying installation and debugging procedures.

Intelligent Outline Extraction Algorithm

The system is equipped with an intelligent laser line extraction algorithm, which enables precise surface positioning in high-reflectance and complex-shaped scenes, ensuring the accuracy of contour data.

Intelligent complementary algorithm with a restoration rate exceeding 95%

Powered by Yishi's proprietary data intelligence complementation algorithm, this system can accurately reconstruct point clouds in over 95% of occluded areas, effectively addressing workpiece detection challenges with severe concavities or obstructions. It is ideal for high-precision 3D acquisition in dynamic environments such as 3C electronics and automotive manufacturing.

1.product features

Blind spot elimination:

Redundant denoising:

Reduce costs and improve efficiency, adapt across industries

By eliminating occlusions and intelligently fusing binocular data, the system autonomously performs high-precision 3D reconstruction, significantly reducing overall project costs and implementation complexity while enhancing detection efficiency and accuracy.