Mechatronics Canada

May 18, 2022

 

MC Banners New Miniature Q2X Sensor 1 400

Banner’s new Q2X sensors feature miniaturized enclosures, which allow them to be fit into a wide variety of confined industrial spaces and equipment. Despite their compact size, these sensors deliver reliable, competitive performance, with robust excess gain and sensing precision to detect challenging targets. The next-generation Q2X series complements the available Q12 series of miniature sensors by providing a more expansive range of performance modes. The series includes a new standard adjustable-field background-suppression model with either a visible red photoelectric LED or a Class 1 laser emitter, a cost-effective polarized retro-reflective model, and an easy-to-align opposed-mode sensor pair.

The Q2X is the next generation of miniature photoelectric sensors. With its compact size and rugged design, the Q2X is ideal for installation in very precise machinery and tight industrial spaces.

  • •Miniature sensor for installation in the smallest of spaces
  • •Precise and reliable position detection of small components
  • •Machine design flexibility with proven mounting and connection options
  • •Small high-visibility red LED or Class 1 laser emitter
  • •Enhanced immunity to energy-efficient lights
  • •Crosstalk immunity algorithm allows two sensors to be used in close proximity

 

MC Banners New Miniature Q2X Sensor 2 400

 

 

 

 

 

To learn more about Banner’s new Q2X sensors, visit the Product Page by clicking here 

 

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MC Omron Tradtional Factories have Data Needs Too 1 400

The right tools and tech can enable advanced predictive maintenance, bottleneck prevention and optimization. Find out how digitalization is bridging the gap between legacy systems and Industry 4.0.
 
Without a doubt, digitalization is setting high standards for efficiency and throughput in production. Today, as manufacturers move ever closer to Industry 4.0, the question has increasingly shifted from ‘if’ to ‘when’ production companies will be able to make use of the data being generated with every piece that comes off the line. How do traditional companies take the first steps to digitalization and put that data to work? How do they make the move to unlocking the potential in every production system to improve and optimise their output? And what is the simplest way to harness the power of cloud computing and artificial intelligence at the edge?
 
As we know, not every modern factory is a greenfield high-tech showroom with pristine workers in lab smocks. In fact, many of them may not even be all that modern, but that doesn’t mean they shouldn’t benefit from the modern tools, processes and best practices that are the hallmarks of a productive and successful factory. In this journey to modernity, digitalization has become a vital bridge, enabling owners and production directors to begin harvesting the data that can provide vital clues to enhancing production.
 
Start with Sensors
As new standards of efficiency and quality become the norm, those seeking a competitive edge are turning increasingly to digitalization. Sensors (from very simple to highly complex) can be incorporated into all types of production lines, to measure everything from unit temperature and speed to output shape and size, weight and hardness and most everything in between. Sensors can form part of a wireless network, sending signals remotely, or can be connected directly into an existing production system, depending on the needs of the factory.
 
From Raw Data to Vital Information
 
The resulting output from these sensors is the raw data that can be transformed into information and insights to streamline efficiency, remove bottlenecks, reduce downtime and optimize production cycles—when used correctly. Before any data can be analysed, it has to be stored, either on an in-house server or using a cloud-based service for greater scope for expansion and off-site processing. Exactly how much storage is needed depends on the application, level of digitalization, output form and required analysis. For comparison, a production line with simple sensors attached to monitor throughput will generate significantly less data than one with quality-control cameras monitoring multiple types of product forms.

 

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