Omron
Canvas Category Software : Operational Technology : General
Omron Automation is an industrial automation partner that creates, sells and services fully integrated automation solutions that include sensing, control, safety, vision, motion, robotics and more. Established in 1933 and currently headed by President Yoshihito Yamada, Omron’s 30,000 employees help businesses solve problems with creativity in more than 110 countries. Our business is automation, and we envision a future in which people can do more, try more, and be more. We’re building a world in which anyone can pursue their dreams. For more than 80 years, we’ve been helping manufacturing and infrastructure companies improve their performance, efficiency, and safety to enrich the lives of people around the world. We’re the only global company to successfully integrate input, logic, output, safety, and robotics into a single, streamlined automation platform. Our technology turns workplaces into creative spaces that let people realize their full potential. Our fully integrated solutions empower global sustainability, building an eco-friendly future in which everyone has access to renewable energy whenever and wherever they need it.
Assembly Line
NEURA Robotics and OMRON forge strategic alliance to revolutionize the manufacturing industry with cognitive robots
NEURA Robotics, a global pioneer in cognitive robotics, and Omron Robotics and Safety Technologies Inc., a global leader in industrial robotics and automation, are excited to announce their strategic partnership. This partnership aims to revolutionize the manufacturing industry by introducing cognitive robots into factory automation, leveraging advanced AI capabilities to enhance efficiency, flexibility, and safety.
How Delta Robotics Optimize and Streamline Electronics Manufacturing Processes
Delta robots are relatively small robots employed in handling food items for packaging, pharmaceuticals for casing, and electronics for assembly. The robots’ precision and high speed make them ideally suited to these applications. Their parallel kinematics enables this fast and accurate motion while giving them a spiderlike appearance that’s quite different from that of articulated-arm robots. Delta robots are usually (though not always) ceiling mounted to tend moving assembly and packaging lines from above. They have a much smaller working volume than an articulated arm, and very limited ability to access confined spaces. That said, their stiffness and repeatability are assets in high-precision processing of delicate workpieces — including semiconductors being assembled.
Delta robots provide affordable and flexible automation for electronics manufacturing. They often provide higher speed and more flexibility than other robotics and automated pick-and-place machines.
Plastic Bottles Defect Inspection Using Omron FH Vision System with AI
Electronics manufacturer partners with Omron to improve inspection as business grows
As WAi’s business continues to grow, company leaders expect to incorporate more Omron systems to help keep pace with demand and ensure product quality. They are confident that Omron will be there to make these next projects equally successful, given the continuous and attentive support that Omron has shown. With Omron’s advanced 3D AOI system, WAi is able to deliver zero defect boards to customers faster. In the long term, WAi’s investment into advanced inspection technology will help maintain its competitive edge and have the capabilities necessary to support the ever-growing sophistication and variety of customer products.
Sensor fusion gets robots roving around factories
Adam explained that most manufacturing processes are organized around fixed conveyors and robotic systems. To vary the specifications of the end product, human operators are typically needed to move product pieces from one assembly process to another. ‘Increasing flexibility requires more people to handle the work pieces and push them around, but this human intervention does not add much value,’ he said.
For that reason large manufacturing companies are keen to deploy mobile robots to transport inventory and product pieces around the factory floor. These autonomous mobile robots (AMRs) are designed to move and operate by themselves, which means that they must be able to perceive their surroundings and react to them. Visual information is crucial to aid navigation and avoid collisions, as well as to enable the robot to perform simple functions such as selecting and picking up the objects that need to be moved.
Cable-path optimization method for industrial robot arms
The production line engineer’s task of designing the external path for cables feeding electricity, air, and other resources to robot arms is a labor-intensive one. As the motions of robot arms are complex, the manual task of designing their cable path is a time-consuming and continuous trial-and-error process. Herein, we propose an automatic optimization method for planning the cable paths for industrial robot arms. The proposed method applies current physics simulation techniques for reducing the person–hours involved in cable path design. Our method yields an optimal parameter vector (PV) that specifies the cable length and cable-guide configuration via filtering the candidate PV set through a cable-geometry simulation based on the mass–spring model.
Sensor Fusion: The Swiss Army Knife of Digitalization
With the proper communication protocols and network architecture in place, smart sensor technology and the data it provides can be the bulwark on which digital transformation is built.
If industrial control systems are the brains of a plant, then sensors are its eyes and ears. Simply put, without sensors there would be nothing for SCADA, DCS, or PLCs to respond to. That’s why increasingly intelligent or ‘smart’ sensors packing more onboard processing power, the ability to monitor new variables, and digital communication capabilities are playing such an important role in helping plant operators and enterprise level planners alike to see better and respond to problems with more finesse.
Simplified Factory Energy Management System based on operational condition estimation by sensor data
This paper describes a visualization technique to analyze causalities among the productivity indices and energy for improving energy efficiency of factory equipment. Recently, energy-saving has been important worldwide. Especially, energy-saving for factories is very important in manufacturing. Meanwhile, productivity indices must be kept in manufacturing process. Thus, we realize the improvement of energy efficiency on factory equipment by adding our visualization technique to conventional Factory Energy Management System. Our visualization technique quantifies the operational condition of equipment by the energy consumption and the equipment behavior. As the result of the visualization in our factory, our proposed technique could successfully improve the energy efficiency on a molding machine, a press machine and compressors without a negative effect to the productivity that means production volume and supply pressure.