3D Vision Guidance System Based on Deep Learning
With the continuous increase of labor costs, the manufacturing industry is in urgent need of completing the transformation and upgrading of automation and intelligence. How to efficiently and high-quality complete the loading and unloading of workpieces, solve the difficulties in the loading and unloading scenario, adopt more advanced, flexible and intelligent assembly technology to improve production efficiency, improve product quality and product competitiveness, and meet the needs of emerging markets is an urgent problem for manufacturing enterprises. 
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Case Overview

Fuwei Intelligent uses 3D vision to guide the robot to automatically load and unload materials, guide the industrial robot to accurately identify the workpieces in the turnover box, give feedback in time, and guide the robot to grab in disorder and correctly place them on the automatic conveyor belt. The whole process realizes the automation of the whole set of loading and unloading operations at the speed of 8s per piece;

Project pain points
视觉引导高精度3D工件无序抓取|某大型汽车零配件厂视觉引导高精度3D工件无序抓取|某大型汽车零配件厂视觉引导高精度3D工件无序抓取|某大型汽车零配件厂
High labor costPoor stabilityInefficient production


Programme Value
Project achievements:
Project achievements:

The teaching platform integrates multiple application scenarios such as disordered feeding, carton unstacking, high-precision positioning, etc. Users can easily deploy multiple typical applications of intelligent robots; The system contains rich visual algorithm modules (such as 3D general processing algorithm, 3D feature processing, 3D model creation and matching, depth learning, 2D general processing algorithm, 2D feature processing, 2D matching, pose adjustment, trajectory class, measurement class and other special algorithms), which can be applied to many typical actual scenes.


Project advantages:
Project advantages:

It has complete functions, optional configurations, a wide range of supporting algorithms, and perfect teaching courses and practice cases.


LastVisual guidance of disordered grabbing and loading of deep frame of auto parts | A large auto parts NextNo Data

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