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Robotic parts sorting with machine vision

Robotic parts sorting with machine vision
利用机器视觉进行机器人零件分类
批准号:
568684-2021
负责人:
Larsen, Paul
金额:
$1.79万
依托单位:
依托单位国家:
加拿大
项目类别:
Applied Research and Development Grants - Level 1
财政年份:
2021
资助国家:
加拿大
项目状态:
已结题
起止时间:
2021-01-01 至 2022-12-31

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中文摘要
翻译
雷克托机器起作用了。是一家现代化的机械和制造车间,生产锚板、精密钢材、耗材等先进技术钢材生产。随着加拿大最近致力于钢铁工业的现代化,Rector Machine Works希望通过继续发展和扩大其制造能力和自动化来保持竞争力。虽然Rector Machine Works使用精密自动化加工站,但解开粗切钢锚毛坯是一个生产瓶颈。目前,沉重而粗糙的锚坯是用手解开的,这是一个缓慢而困难的过程。由于锚板技术复杂,最具成本效益的解决方案是使用工业机器人。与苏尔学院的合作项目将涉及使用视觉摄像头和定制软件来捕捉机器人旁边托盘上纠缠的锚坯的位置。然后,视觉摄像头会将钢制零件的横向和旋转偏移量传输给机器人。然后,机器人将应用这些偏移量,这将导致每个互锁部件的小心释放,不需要人工干预。这将导致整个过程的更快吞吐量。索尔学院的机器人实验室是这个项目的理想之选。该学院拥有一个足够大的工业机器人,可以为概念验证项目抬起沉重的锚。
英文摘要
Rector Machine Works. is a modernized machine and fabrication shop, and the manufacturer of anchor plates, precision steel consumables used in advanced technology steel production. With Canada's recent commitment to modernizing the steel industry, Rector Machine Works would like to stay competitive by continuing to develop and expand its manufacturing capacity and automation. While Rector Machine Works uses precision automated machining stations, untangling rough-cut steel anchor blanks is a production bottleneck. Currently the heavy, rough anchor blanks are untangled by hand, a slow, difficult process. Since anchor plates are technically complex, it is fitting that the most cost-effective solution is employing an industrial robot. The collaborative project with Sault College will involve using a vision camera and custom software to capture the position of the tangled anchor blanks on a pallet adjacent to the robot. The vision camera will then transfer the lateral and rotational offsets of the steel parts to the robot. The robot will then apply these offsets which will result in the careful freeing of each interlocked part, requiring no manual intervention. This will result in faster throughput of the entire process. Sault College's robot lab is ideal for this project. The college has an industrial robot large enough to lift the heavy anchor for the proof-of-concept project.
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Automated log tracking and sorting for sawmill conveyor
  • 批准号:
    CCARD-2022-00558
  • 项目类别:
    CCI Applied Research and Development Grants
  • 资助金额:
    $1.31万
  • 财政年份:
    2022
  • 负责人:
    Larsen, Paul
  • 依托单位:
海外基金