当前位置:网站首页>Schnuka: visual positioning system working principle of visual positioning system
Schnuka: visual positioning system working principle of visual positioning system
2022-07-06 03:26:00 【Schnuka machine vision】
Robot vision and positioning are widely used in the field of industrial guidance . For industrial robots working on automated production lines , The most completed operations are ” Grab — place “ action , In order to do this , It is necessary to obtain the positioning information of the operated object , First, the robot must know the position of the object before it is operated , The second is to know the target position after the object is operated , To ensure that the robot can complete the task accurately .
In most industrial robot applications , Robots only operate according to fixed procedures , The initial position and end position of the object are predetermined , For high quality work , The production line is required to be relatively fixed , High positioning accuracy , As a result, production flexibility is reduced , The cost increases greatly , At this time, the flexibility of the production line and product quality are contradictory .
In the project of manipulator application , The core is the visual guidance and positioning system , It mainly includes dynamic and general positioning 、 Precise positioning and assembly 、 Precise position adjustment and other technologies , With the development of economy and the improvement of people's living standards , The logistics industry has made great progress, and there is an urgent demand for automation application .
Schnuka (SCHNOKA) Founded on 2010 year , Successively in Shanghai , Suzhou and Wuhan have set up branches . National high tech enterprise , Committed to building a high-tech company with the strongest brain control for intelligent production lines and smart factories . The company revolves around perception & Identify core technologies to build intelligent equipment , Based on robot vision algorithm and single robot workstation 、 Multi robot group integration 、 Industry customized application . Build product systems , For intelligent production line 、 Smart logistics and other scenarios realize software defined intelligence .
SCHNOKA ( Schnuka ) stay 3D Machine vision algorithm 、 Robot flexible control 、 Hand eye collaborative fusion 、 Production line level robot collaboration 、 Plant level intelligent planning and scheduling are applied by leading technologies and industries , In the automotive industry, intelligent sorting production line 、 Large size and high precision three-dimensional measurement 、 He has rich project experience in intelligent sorting of large scene logistics handling robots .
SCHNOKA( Schnuka ) A number of core products of the automotive industry benchmarking production line 、 Lithium new energy lighthouse factory 、 Smart factory of construction machinery 、 Smart logistics and other fields are applied in multiple scenarios . Has cooperated with Baiya international 、 Sound health care 、 Middon group 、 Vida paper 、 faw-vw 、 Shanghai Volkswagen 、 Volvo cars 、 Chery Jaguar Land Rover 、 Geely 、 Changan automobile 、 SAIC GM Wuling 、 Great Wall honeycomb new energy 、 Sany heavy industry 、 AVIC Shenfei 、 China Tunnel Group 、 Siemens high voltage switch 、 China medium car 、ABB( China ) And other well-known enterprises at home and abroad have established good partnership , Won wide praise from head customers .
边栏推荐
- 1.16 - 校验码
- OCR文字識別方法綜述
- Brush questions in summer -day3
- Crazy, thousands of netizens are exploding the company's salary
- SD卡報錯“error -110 whilst initialising SD card
- Quartz misfire missed and compensated execution
- jsscript
- 数据分析——seaborn可视化(笔记自用)
- 1003 emergency (25 points), "DIJ deformation"
- three. JS page background animation liquid JS special effect
猜你喜欢
Pytorch load data
Research on cooperative control of industrial robots
Four logs of MySQL server layer
svg拖动点裁剪图片js特效
真机无法访问虚拟机的靶场,真机无法ping通虚拟机
OCR文字識別方法綜述
[concept] Web basic concept cognition
Overview of OCR character recognition methods
[Li Kou] the second set of the 280 Li Kou weekly match
数据分析——seaborn可视化(笔记自用)
随机推荐
Eight super classic pointer interview questions (3000 words in detail)
IPv6 comprehensive experiment
2.1 rtthread pin设备详解
SAP ALV cell level set color
Shell 传递参数
银行核心业务系统性能测试方法
Overview of OCR character recognition methods
电机控制反Park变换和反Clarke变换公式推导
Canvas cut blocks game code
SAP ALV颜色代码对应颜色(整理)
Yyds dry inventory what is test driven development
继承day01
Deep parsing pointer and array written test questions
11. Container with the most water
[slam] lidar camera external parameter calibration (Hong Kong University marslab) does not need a QR code calibration board
Polymorphic day02
Redis cache breakdown, cache penetration, cache avalanche
3.1 rtthread 串口设备(V1)详解
MADDPG的pythorch实现——(1)OpenAI MADDPG环境配置
Advanced learning of MySQL -- Fundamentals -- isolation level of transactions