Machine Vision & Machine Vision Manufacturers
Machine vision is the industrial application of computer vision systems created by engineers to mimic human vision for the inspection, recognition and evaluation of parts in production. More than this, the capabilities of vision systems allow for the performance of a number of specific tasks such as bar code scanning, defect recognition, sorting, guiding and more all performed without destruction of product and to a high degree of precision and accuracy.
Machine vision processes can be undertaken by modular devices such as smart cameras or fully integrated machine vision systems such as those that might be present in robotic vision applications involving AGV. Though they perform many other tasks, quality control is one of the largest embodiments of machine vision as optical inspection systems, vision inspection systems and even laser inspection allow manufactures to assess products at higher-speed, consistency, repeatability and magnification, far exceeding the work period and capabilities of a human workforce. Vision sensors in conjunction with vision software emulate human sight by capturing images and then interpreting the collected data. With these interpretations optical sorting systems aid in the continued flow of production as products can be quickly sorted based on shape, size, material or any other pre-determined aspect. Though highly sophisticated, some limitations do exist as machine vision is not adaptable to the same degree as human processing. machine vision products nevertheless continue to grow in popularity and functionality as they consistently improve the productivity, reliability and quality of manufacturing across the industrial sector.
Some Leading Manufacturers
Natick, MA | 508-650-3000
Cognex Corporation is a global leader in vision systems, software, and sensors, helping customers increase efficiency, reduce costs, ensure quality, and control processes. If you’ve done business with Cognex, you know that our team of professionals is totally committed to making your job easier. If you’re new to Cognex, please experience our extraordinary customized solutions and outstanding service.
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Westerville, OH | 614-891-6111
MJ Engineering is a full-service manufacturer of custom automation machines and systems. We design custom vision inspection systems for many industries, including the automotive industry. We engineer 2D and 3D vision inspection systems as well as laser inspection systems, which all provide accurate and reliable performance. To integrate a state-of-the-art inspection system into your process, connect with MJ Engineering!
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Shelbyville, IN | 888-900-8245
Capital Industries is a company committed to providing customers with solutions to complex manufacturing challenges. We have decades of experience working with automation, vision, robotics, and control systems, so we are confident that we can create a machine vision system to fit your needs. Please call us today and find out about the Capital Industries difference.
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Delevan, WI | 888-269-5522
Here at Better By Design, we provide a huge variety of standard and custom inspection, verification, guidance, and control systems. Our machine vision products are designed to help enhance your processes and improve efficiency. From high speed vision inspection systems to vision directed assembly systems, we can create a vision system for your applications. Learn more about our design and manufacturing capabilities by visiting us online or giving us a call!
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Willoughby, OH | 800-626-9501
We offer uncompromising quality when it comes to our machine vision systems. We have a long history of successful manufacturing dating back 1933. Our experts are highly trained in providing with you exceptional value and we will work with you every step of the way to ensure your maximum satisfaction. If you have any special requests then please give one of our representatives a call today!
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As aforementioned, machine vision systems can perform a large number of variable tasks and as such are incorporated in an equally extensive array of industries. Automotive and electronic fields are among the most visible applications as AGV equipment is commonly employed in the inspection and construction of components. This and other industries use machine vision to inspect not only the final product, but the components used to build them as well. Tool and die, casting and molding components are frequently inspected under high magnification to reduce the risk of running full production with inaccurate parts. Often multiple aspects of machine vision are employed as with pharmaceutical packaging where both counting and inspection is performed to ensure the proper filling of vital prescription medications. Human safety is one of the leading reasons for employing machine vision. In addition to medical applications, recycling and waste management facilities frequently employ machine vision technology to promote workforce safety when potentially dangerous or contaminated materials need sorting. The sensors are often required in the performance of tasks as well. Labeling machines, for example, commonly use smart vision technology to determine when a product is in proper position for application. Food processing, counterfeit identification, textile, pulp and paper and airport baggage sorting list just a handful of the many additional industrial applications for machine vision systems. Not all smart cameras or vision software are applied to industry, however, as one of the most common applications, for example is the facial recognition feature available in many handheld digital cameras.
The many industrial applications for machine vision coupled with the use of this technology in both commercial and residential sectors inherently necessitates a broad range of devices available for matrix matching, feature extraction or general purpose visibility applications. While machine vision products vary considerably, vision systems often employ the same basic components. These include vision sensors, digital camera or image capture device, lighting, computer processor and special image processing software. Often placed at a given point along a conveyor belt, machine vision begins with sensors that detect when a product or component is in position. This triggers the camera or imaging device and lighting which are often synchronized to produce a digital image which highlights features of interest. A digitizing device known as a frame grabber then converts the camera output and enters the data into the memory of the computer system. Vision software processes the image using several steps such as the removal of static within the image and mathematical algorithms to count, measure, identify or inspect the object. The interpretation of the given data is compared to predetermined criteria programmed by the developer. A simplified user interface then allows workers to view the progress and success rate of production.
With this basic order of events and necessary components in mind, engineers often develop application specific custom machine vision systems and products for industrial, commercial and residential applications. In addition to the specific system configuration, there are several operational specifications that should be considered in order to ensure the optimal use of machine vision in a given application. Inspection rate and product speed are both important factors and should be compatible to ensure that every part or object undergoes standard evaluation. The number of cameras and processor speed as well as data storage capacities are also variable and should be considered with a specific use in mind. Test samples or vision calibration targets are commonly used in order achieve the proper parameters for pre-programmed machine vision systems and smart cameras in order to avoid the possibility of distortion. Using such a prototype is especially useful in inspection systems as it can create the computerized model with exact surface and material features. Despite the many advantages apparent over human vision, machine vision is inherently limited. Even with nearly continual advancements of both hardware and software pertaining to this highly skilled field, computer vision programs lack the ability to adapt beyond pre-determined algorithms as human vision so aptly does. Machine vision works best when performing narrowly defined tasks, though continued advancements continually improve the performance possibilities of this technology