ISM reports show mixed manufacturing numbers

GARETH SLEGER| January 07, 2019
ISM REPORTS SHOW MIXED MANUFACTURING NUMBERS
When the Institute for Supply Management (ISM) released its monthly Report on Business last week, the manufacturing industry got a bit of a jolt when December’s Manufacturing Purchasing Managers Index (PMI) plummeted more than 5 percent from the previous month. The drop to 54.1 percent is a 25-month low for the PMI, which usually saw a slight fluctuation of less than a percentage point during that period.

Spotlight

Amphenol PCD

Amphenol Pcd, a subsidiary of Amphenol Corporation, is one of the world’s leading suppliers of interconnect products for Military, Commercial Aerospace and Industrial applications. Located north of Boston in Beverly, Massachusetts, the company designs and manufactures a wide range of products - System Attachments, Junction Modules, Relay Sockets, Terminal Blocks, Rectangular & Circular connectors, and Cable Assemblies, to name a few.

OTHER ARTICLES

How Collaborative Robots Are Revolutionizing the Manufacturing Industry

Article | December 10, 2021

A new form of robot is entering manufacturing plants all around the globe. Instead of being locked away in their own work cell, collaborative robots work side by side with their human counterparts. Together, they form the manufacturing crew of the future. Collaborative robots, or cobots, are more flexible, easy to use, and safer than industrial robots. Instead of ending up abandoned in a corner, they are proving to be serious expansions of production capacity leading to better ways of creating superior quality products. 1.1 A New Breed of Bot Cobots are a new type of automation product with their own ISO standards for safety and usability. For a robot to qualify as a cobot, it has to be used for tasks of a collaborative nature while sharing all or part of its reach space with human operators. So it is not the product alone that classifies it as a cobot. Industrial robots must be expertly programmed for one specific job along the production line. This requires hard line coding and endless tweaking and testing, which together with other factors make for a sizable upfront investment. Not so with collaborative robots. Cobots may look similar to traditional robots in some ways, but they are much easier to install and program. This foregoes the need to cooperate with a robotic integration service. Their lightweight and friendly form factor lets manufacturers conveniently relocate them on the shopfloor from one project to another. This renders the robotics technology perfect for a data-driven, Industry 4.0 work environment. Cobots can side with traditional machinery and additive manufacturing equipment, aided by artificial intelligence and cloud connectivity while embedded in a networked environment rich with smart sensors and mixed reality interfaces. 1.2 A Unique Blend of Benefits Because it is fairly straightforward to reprogram a cobot to various tasks, they are perfect for high-mix, low-volume work to meet the rising demand for ultra-customized products. They can also do multiple tasks in unison, such as alternatingly loading a machine and finishing parts from the previous cycle. Here are some other advantages in addition to flexibility: • Low investment. Cobots typically cost a fraction of the price of an industrial robot, but they offer much lower payload and reach. ROI is typically one to two years. • Safety. With rounded surfaces, force-limited joints, and advanced vision systems, cobots are exceptionally safe. This reduces the risk of injury due to impact, crushing, and pinching. Driverless transport systems are wheeled mobile robots that immediately halt when their lasers detect the presence of a nearby human being. • Accuracy. Cobots score well on accuracy with 0.1mm precision or well below that. While they do typically sacrifice speed, dual-mode cobots can be converted to fully-fledged tools of mass production that run at full speed in their own safeguarded space. • Easy to program. Many brands offer user-friendly programming interfaces from beginner to expert level. This reduces the need for continuous availability of expensive and scarce expertise while giving current employees an incentive to upskill. And because they can be deployed within hours, cobots can be leased for temporary projects. • Research. Small processing plants, agile start-ups, and schools can invest in cobots to experiment with ways to automate processes before committing to full automation. 1.3 Cobot Activity Repertoire Cobots are perfect candidates for taking over strenuous, dirty, difficult, or dull jobs previously handled by human workers. This relieves their human co-workers from risk of repetitive strain injury, muscle fatigue, and back problems. They can also increase job satisfaction and ultimately a better retirement. The cobot’s program of responsibilities includes: • Production tasks such as lathing, wire EDM, and sheet stamping. • Welding, brazing, and soldering. • Precision mounting of components and fasteners, and applying adhesive in various stages of general assembly. • Part post-finishing such as hole drilling, deburring, edge trimming, deflashing, sanding, and polishing. • Loading and unloading traditional equipment such as CNC and injection molding machines, and operating it using a control panel to drastically reduce cycle times. • Post-inspection such as damage detection, electronic circuit board testing, and checking for circularity or planarity tolerances. • Box-packing, wrapping, and palletizing. • Automated guided vehicles (AGVs) and autonomous mobile robots (AMRs) assist with internal transport and inventory management. 1.4 No-Code Programming While an industrial robot requires the attention of a high-paid robotics engineer, anyone with basic programming savviness can install and maintain a collaborative unit. Brands are releasing more and more kits for quick installation and specific use cases. Instead of being all numbers and line-coding, current user interaction is exceptionally people-focused. At the lowest skill level, lead-through programming lets operators physically guide the cobot’s end-of-arm-tool (EOAT) through the desired motion path, after which it will flawlessly replicate the instructed behaviour. It is also possible to enter desired waypoints as coordinates. At the highest level, it is of course still possible to have full scripting control. An intermediate step is visual programming interfaces. These let users create blocks of functionality that they can string together into more advanced action sequences, while entering the appropriate parameters for each function such as gripping strength, screwing tightness, or pressing force. These UIs come in the form of in-browser or mobile apps. Based on a 3D-CAD model of the machine and its industrial environment, a digital twin of the cobot can simulate and optimize its operations, for example to prevent collisions. It also lets operators remotely monitor and adjust the machine while it’s running. All the while, back-end artificial intelligence can do its analyses to find further efficiency improvements. 3D models of the to-be-manufactured product can be imported for edge extraction of complex surfaces. These will then be converted into the cobot’s desired movement trajectories instead of tedious manual programming. This makes them feasible to implement for highly dexterous tasks like welding curved hydroformed metal parts or sanding and polishing the most intricate of 3D printed geometries. Interfacing directly with the robot is becoming increasingly human-centered as well. Future cobots will respond to voice interaction as well as touch input, eradicating the screens-and-buttons paradigm of current devices. Some brands are giving the cobot a face with emotional expressions, hoping to lower the barrier to adoption. The upcoming generation of cobots can even respond to body language, as well as show its intentions by projecting light to where they are about to reach or move next. 1.5 A Human World Ultimately, the objective of any company is to create value for people. It is not an option to completely remove humans from the shop floor in an attempt to stay at the forefront of innovation. Attempting to leap to full automation and the utopian “lights-out factory” does not work anyway, as automotive giants such as Ford, Chrysler, GM, and Tesla can testify. A significant portion of human employees will indeed need to give up their roles. On the other hand, improved productivity levels open up space to retain personnel and uplift them to more creative, managerial, analytical, social, or overall more enjoyable jobs. For certain tasks, humans still need to be kept inside the manufacturing loop. For example: • Complex assembly routines and handling of flexible components. • Large vehicle subassemblies contain many variable components and require more hand-eye coordination than one cobot can handle. Humans are needed to make sure everything lands in the right position while the cobot provides assistive muscle power. • Fashion, footwear, jewellery, art pieces, and other products where creation borders on artistry rather than mechanical assembly require the aesthetic eye of humans. People are also needed to spot aesthetic deficiencies in custom one-offs in order to correspond with customers before finishing the production batch. • While intelligent automation software can spot bottlenecks in efficiency, humans are required for creative problem solving and context-awareness to make decisions. A spirit of flexibility and innovation is just as important as the accuracy of perfect repetitions. 1.6 Mission: Install a Cobot Cobots have numerous advantages over industrial solutions or people-only workspaces. They enable faster, more precise, and more sophisticated operations while reducing downtime and maintaining employee satisfaction. Low-voltage operation and reduced material waste fits with sustainable innovation and corporate social responsibility programs. Many companies are reporting surges in production capacity and staff generally experience the presence of cobots as favorable. For example, industry leviathans like BMW and Mercedes-Benz are reaching the conclusion that in many parts of the production process implementing a cobot has been the right decision. Connecting all parts of the production line with full automation solutions is a pipedream. It works only when all steps are perfectly attuned, and in reality this never happens and one misstep can be catastrophic. Whether to hire a human, a robot, or a co-robot is a complex and ever-more pressing decision. Statistical process control is paramount for large organizations to make unbiased data-driven decisions. Determine the key performance indicators, then find the most critical bottlenecks and major opportunities for leaps in production efficiency, product quality, or staff unburdening. Talk to employees for their insights and probe their level of skill and enthusiasm needed for working with their new artificial assistants. Digital transformation should be an exciting shift in the organization and its people, so apply new technological advancements only where it makes sense. Despite common beliefs about robotization, the cobot is an entirely separate product category that can be a surprisingly plug-and-play solution for simple tasks, with programming apps becoming increasingly intuitive. A cobot’s flexibility makes it perfect to run early experiments to help companies find its best spot on the factory floor. Its unbelievable precision, consistency, and level of control generally can make a strong first impression on customers. Not only can cobots increase production capacity while reducing idle time and cycle time to accelerate manufacturing across many vertical markets, but they also enrich the work environment resulting in happier and more involved employees. For many companies, a cobot can be the next logical step in their digital transformation.

Read More

How Intent Data for Manufacturers Can be Beneficial in 2021?

Article | April 6, 2021

As the pandemic upended plans for marketing and sales in 2020, it forced marketers in the manufacturing industry to adopt the tactics of the remote world. Many of them are still wondering how they can focus on driving business growth in 2021. Intent data has undoubtedly added some spice to the season of online marketing. Research conducted by B2BecNews on 110 businesses found that 59.5% of business buyers research two to three websites before buying while 29.7% research up to seven websites. The “How” of Intent Data Intent data allows businesses to channel their expenditure to the leads that matter the most. It boosts sales and encourages marketers to be smarter by doing more in less time. Moreover, b2b buyers now tend to look for an immersive digital experience and are likely to conduct more and more searches before engaging with a brand. Such digital activity will tell you what a visitor’s intentions are called the intent data. To drive your business, here are some tried-and-true and unexpectedly productive ways to scale up your marketing and sales game using intent data. Improve your Sales Pitches/Pipelines When you are expanding or redefining your business because you want to target a new market or audience, third-party intent data is a decent place to start. Through intent data, your sales team can build a year’s pipeline by reaching target audiences. To get the value of your sales, you can use intent data categorizing with a professional group, seniority, functional area, business size, and more for targeted prospects. And if your data provides contact information, your sales team will have an even deeper understanding of the dynamics of prospects’ buying activities. Moreover, learning about the fact if a CEO or a random visitor visits your website creates a difference between a quality lead and a generic one. There are times when organizations don’t vigorously look for a product. But with the right content force, you can direct them towards a purchase decision. This way, you can get a chance to pitch and improve sales. So, how can content pitch sales? The next point explains the importance of nurturing content on your website. Nurture with Personalized Content Once you target new prospects, you can nurture them with excellent and informational marketing content. These can be in various forms like articles, blogs, advertisements, social media, infographics, and more. Personalization results better in the sea of marketing (digitally or manually). Since the pandemic has pushed the digital world extensively, personalization is on a hike. Companies that personalize their marketing strategies to communicate are improved by 86% in customer relations, have higher conversation rates, and observed improvement in businesses. To personalize your content, you have to look at intent data and search for the prospect’s interests. After your research, you can create content for them. Paying attention to contextual information will improve the prospect’s experience, causing them to turn into your client. After you create personalized content, what will happen next? Find out ahead. Generate High-Quality Leads Intent data tells you how far each prospect has progressed. A combination of intent and context data helps with lead scoring, which shows you the quality of leads. For example: A visit to your website by an intern is somewhat different from a CEO’s visit. Consuming content on general industry information differs in value from product-specific content that provides information on websites. When a visitor compares prices, it intends to buy, opposite to a visitor who bookmarks pages. Besides, intent data for manufacturers also tells: Channels to target your prospects actively. Content to encourage Offers to serve The timing of each lead nurturing action Improve Account-Based Marketing Campaigns Account-based marketing and intent data go hand-in-hand. So, it would be best if you worked through every possible path to collect more information about your prospects. This way, it will help you take a focused approach. Once you identify the interested prospects, you can focus your time and energy on those accounts and expand your reach. Intent data helps you to find more in-market customers. They can score leads with better precision and re-shape your marketing campaigns by showing up with the right message at the right time. Include Marketing Automation Operations Implementing marketing automation technologies with intent data will save your team's time. As they usually spent analyzing data entry by automatically setting alerts when buyers intend to show their interest. Why is Intent Data for Manufacturing Becoming Crucial for Future? With marketers, or say, manufacturing marketers, it's always vital to drive revenue for business and get ahead with trending marketing paths. For this, knowing intent of prospects is a must to gain success. Knowing a prospector’s behavior can help your marketing team target a specific profile and create personalized content on demand to increase their purchase decision. After all the information is collected, prospects become more knowledgeable and informed of the decision they make. More information attracts more potential buyers when they are informed conveniently at the right time and manner. In this entire process, you gain an increased ROI. These aspects are incomplete without intent data for manufacturers, which targets numerous data and creates an easy baseline so that marketers can learn precisely about potential prospects’ behaviors. Intent data can be used for the future through a particular pattern. Generic marketing campaigns delivered to a random audience will simply shut down your business. Because now, the users expect to see content that’s valuable to them. Therefore, intent data for manufacturers is the key to providing better answers and solutions and allowing better marketing budgets. Both of these lead to more conversions which results in more revenue. Frequently Asked Questions How is intent data collected? The collection of intent data is not new to marketers. It has gained prominence only after the pandemic. The data is gathered through the website. Its analysis is done by tracking visitors to the website, clicks, chatbots, duration of stay, and information search. How can manufacturers leverage intent data? The steps to leverage are: 1. identify the prospect and what it wants to search or trying to search. It could be keywords, trending words or phrases, and more. 2. Create quality yet informational content following the prospects’ interest. 3. Now, it’s time to promote content with the right on different channels to attract prospects. What are the intent data tools for manufacturers? Some good intent data tools manufacturers can use are: Leadfeeder ZoomInfo KickFire DemandJump What is buyer intent data for manufacturers? Through buyer intent data, your sales team easily reaches out and gets engaged with the right prospect at the right time. Manufacturing marketers use it to plan can create effective campaigns to target potential ones and convince them to buy. { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "HOW IS INTENT DATA COLLECTED?", "acceptedAnswer": { "@type": "Answer", "text": "The collection of intent data is not new to marketers. It has gained prominence only after the pandemic. The data is gathered through the website. Its analysis is done by tracking visitors to the website, clicks, chatbots, duration of stay, and information search." } },{ "@type": "Question", "name": "HOW CAN MANUFACTURERS LEVERAGE INTENT DATA?", "acceptedAnswer": { "@type": "Answer", "text": "The steps to leverage are: 1. identify the prospect and what it wants to search or trying to search. It could be keywords, trending words or phrases, and more. 2. Create quality yet informational content following the prospects’ interest. 3. Now, it’s time to promote content with the right on different channels to attract prospects." } },{ "@type": "Question", "name": "WHAT ARE THE INTENT DATA TOOLS FOR MANUFACTURERS?", "acceptedAnswer": { "@type": "Answer", "text": "Some good intent data tools manufacturers can use are: Leadfeeder ZoomInfo KickFire DemandJump" } },{ "@type": "Question", "name": "WHAT IS BUYER INTENT DATA FOR MANUFACTURERS?", "acceptedAnswer": { "@type": "Answer", "text": "Through buyer intent data, your sales team easily reaches out and gets engaged with the right prospect at the right time. Manufacturing marketers use it to plan can create effective campaigns to target potential ones and convince them to buy." } }] }

Read More

Computer Aided Manufacturing (CAM): Major Challenges and Their Solutions

Article | December 16, 2021

Computer-aided manufacturing (CAM) is a technology that revolutionized the manufacturing business. Pierre Bézier, a Renault engineer, produced the world's first real 3D CAD/CAM application, UNISURF CAD. His game-changing program redefined the product design process and profoundly altered the design and manufacturing industries. So, what is CAM in its most basic definition? Computer-aided manufacturing (CAM) is the application of computer systems to the planning, control, and administration of manufacturing operations. This is accomplished by using either direct or indirect links between the computer and the manufacturing processes. In a nutshell, CAM provides greater manufacturing efficiency, accuracy, and consistency. As technology takes over and enhances many of the processes we used to handle with manual labor, we are freed up to use our minds creatively, which leads to bigger and better leaps in innovation and productivity.” – Matt Mong, VP Market Innovation and Project Business Evangelist at Adeaca In light of the numerous advantages and uses of computer-aided manufacturing, manufacturers have opted to use it extensively. The future of computer-aided manufacturing is brightening due to the rapid and rising adoption of CAM. According to Allied Market Research, the global computer-aided manufacturing market was worth $2,689 million in 2020 and is expected to reach $5,477 million by 2028, rising at an 8.4% compound annual growth rate between 2021 and 2028. Despite all this, each new development has benefits and challenges of its own. In this article, we'll discuss the benefits of CAM, the challenges that come with it, and how to deal with them. Let's start with the advantages of computer-aided manufacturing. Benefits of Computer Aided Manufacturing (CAM) There are significant benefits of using computer-aided manufacturing (CAM). CAM typically provides the following benefits: Increased component production speed Maximizes the utilization of a wide variety of manufacturing equipment Allows for the rapid and waste-free creation of prototypes Assists in optimizing NC programs for maximum productivity during machining Creates performance reports automatically As part of the manufacturing process, it integrates multiple systems and procedures. The advancement of CAD and CAM software provides visual representation and integration of modeling and testing applications. Greater precision and consistency, with similar components and products Less downtime due to computer-controlled devices High superiority in following intricate patterns like circuit board tracks Three Challenges in CAM and Their Solutions We have focused on the three primary challenges and their solutions that we have observed. Receiving Incomplete CAD Updates Receiving insufficient CAD updates is one of the challenges. If, for example, the part update from a CAD engineer does not include the pockets that are required in the assembly, to the CAM engineer. SOLUTION: A modeler that enables developers of a CAM programs to create intuitive processes for features such as feature extraction and duplication across CAD version updates. A modeler is capable of recognizing and extracting the pocket's architecture and the parameters that define it. Additionally, the CAM application can enable the engineer to reproduce the pocket in a few simple steps by exploiting the modeler's editing features such as scaling, filling, extruding, symmetrical patterning, and removing. Last Minute Design Updates The second major challenge is last-minute design changes may impact manufacturers as a result of simulation. SOLUTION: With 3D software components, you may create applications in which many simulation engineers can work together to make design modifications to the CAD at the same time, with the changes being automatically merged at the end. Challenging Human-driven CAM Manufacturing The third major challenge we have included is that CAM engineers must perform manual steps in human-driven CAM programming, which takes time and requires expert CAM software developers. Furthermore, when the structure of the target components grows more complicated, the associated costs and possibility of human failure rise. SOLUTION: Self-driving CAM is the best solution for this challenge. Machine-driven CAM programming, also known as self-driving CAM, provides an opportunity to improve this approach with a more automated solution. Preparing for CAM is simple with the self-driving CAM approach, and it can be done by untrained operators regardless of part complexity. The technology handles all of the necessary decisions for CAM programming operations automatically. In conclusion, self-driving CAM allows for efficient fabrication of bespoke parts, which can provide substantial value and potential for job shops and machine tool builders. Computer Aided Manufacturing Examples CAM is widely utilized in various sectors and has emerged as a dominant technology in the manufacturing and design industries. Here are two examples of sectors where CAM is employed efficiently and drives solutions to many challenges in the specific business. Textiles Virtual 3D prototype systems, such as Modaris 3D fit and Marvellous Designer, are already used by designers and manufacturers to visualize 2D blueprints into 3D virtual prototyping. Many other programs, such as Accumark V-stitcher and Optitex 3D runway, show the user a 3D simulation to show how a garment fits and how the cloth drapes to educate the customer better. Aerospace and Astronomy The James Webb Space Telescope's 18 hexagonal beryllium segments require the utmost level of precision, and CAM is providing it. Its primary mirror is 1.3 meters wide and 250 kilograms heavy, but machining and etching will reduce the weight by 92% to just 21 kilograms. FAQ What is the best software for CAM? Mastercam has been the most extensively utilized CAM software for 26 years in a row, according to CIMdata, an independent NC research business. How CAD-CAM helps manufacturers? Customers can send CAD files to manufacturers via CAD-CAM software. They can then build up the machining tool path and run simulations to calculate the machining cycle times. What is the difference between CAD and CAM? Computer-aided design (CAD) is the process of developing a design (drafting). CAM is the use of computers and software to guide machines to build something, usually a mass-produced part.

Read More

Top 5 Manufacturing Applications of Machine Vision

Article | October 20, 2021

Machine vision is becoming increasingly prevalent in manufacturing daily across industries. The machine vision manufacturing practice provides image-based automated inspection and analysis for various applications, including automatic inspection, process control, and robot guiding, often found in the manufacturing business. This breakthrough in manufacturing technology enables producers to be more innovative and productive to meet customer expectations and deliver the best products on the market. A renowned industry leader Mr. Matt Mongonce conveyed in an interview with Media7, As technology takes over and enhances many of the processes we used to handle with manual labor, we are freed up to use our minds creatively, which leads to bigger and better leaps in innovation and productivity -Matt Mong, VP Market Innovation and Project Business Evangelist at Adeaca. Why is Machine Vision so Critical? The machine vision manufacturing process is entirely automated, with no human intervention on the shop floor. Thus, in a manufacturing process, machine vision adds significant safety and operational benefits. Additionally, it eliminates human contamination in production operations where cleanliness is critical. For instance, the healthcare business cannot afford human contamination in some circumstances to ensure the safety of medicines. Second, the chemical business is prohibited from allowing individuals to come into touch with chemicals for the sake of worker safety. Thus, machine vision is vital in these instances, so it is critical to integrate machine vision systems into your production process. Machine Vision Application Examples To better understand how businesses are utilizing machine vision in production, we will look at five cases. Predictive Upkeep Even a few seconds of production line downtime might result in a significant financial loss in the manufacturing industry. Machine vision systems are used in industrial processes to assist manufacturers in predicting flaws or problems in the production line before the system failure. This machine vision capability enables manufacturing processes to avoid breakdowns or failures in the middle of the manufacturing process. How is FANUC America Corporation Avoiding the Production Line Downtime with ROBOGUIDE and ZDT? FANUC is a United States-based firm that is a market leader in robotics and ROBOMACHINE technology, with over 25 million units deployed worldwide. In addition, the company's professionals have created two products that are pretty popular in the manufacturing industry: ROBOGUIDE and ZDT (Zero Down Time). These two standout products assist manufacturers in developing, monitoring, and managing production line automation. As a result, producers can enhance production, improve quality, and maximize profitability while remaining competitive. Inspection of Packages To ensure the greatest possible quality of products for their target consumer groups, manufacturers must have a method in place that enables them to inspect each corner of their product. Machine vision improves the manufacturing process and inspects each product in detail using an automated procedure. This technology has been used in many industries, including healthcare, automation, and electronics. Manufacturers can detect faults, cracks, or any other defect in the product that is not visible to the naked eye using machine vision systems. The machine vision system detects these faults in the products and transmits the information to the computer, notifying the appropriate person during the manufacturing process. Assembly of Products and Components The application of machine vision to industrial processes involves component assembly to create a complete product from a collection of small components. Automation, electronics manufacturing, healthcare (medicine and medical equipment manufacturing), and others are the industries that utilize the machine vision system in their manufacturing process. Additionally, the machine vision system aids worker safety during the manufacturing process by enhancing existing safety procedures. Defect Elimination Manufacturers are constantly endeavoring to release products that are devoid of flaws or difficulties. However, manually verifying each product is no longer practicable for anybody involved in the manufacturing process, as production counts have risen dramatically in every manufacturing organization. This is where machine vision systems come into play, performing accurate quality inspections and assisting producers in delivering defect-free items to their target clients. Barcode Scanning Earlier in the PCB penalization process, where numerous identical PCBs were made on a single panel, barcodes were used to separate or identify the PCBs manually by humans. This was a time-consuming and error-prone process for the electronics manufacturing industry. This task is subsequently taken over by a machine vision system, in which each circuit is segregated and uniquely identified using a robotics machine or a machine vision system. The high-tech machine vision system "Panel Scan" is one example of a machine vision system that simplifies the PCB tracing procedure. Final Words The use of machine vision in the manufacturing business enables firms to develop more accurate and complete manufacturing processes capable of producing flawless products. Incorporating machine vision into manufacturing becomes a component of advanced manufacturing, which is projected to be the future of manufacturing in 2022. Maintain current production trends and increase your business revenue by offering the highest-quality items using a machine vision system. FAQ What is the difference between computer vision and machine vision? Traditionally, computer vision has been used to automate image processing, but machine vision is applied to real-world interfaces such as a factory line. Where does machine vision come into play? Machine vision is critical in the quality control of any product or manufacturing process. It detects flaws, cracks, or any blemishes in a physical product. Additionally, it can verify the precision and accuracy of any component or part throughout product assembly. What are the fundamental components of a machine vision system? A machine vision system's primary components are lighting, a lens, an image sensor, vision processing, and communications. { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "What is the difference between computer vision and machine vision?", "acceptedAnswer": { "@type": "Answer", "text": "Traditionally, computer vision has been used to automate image processing, but machine vision is applied to real-world interfaces such as a factory line." } },{ "@type": "Question", "name": "Where does machine vision come into play?", "acceptedAnswer": { "@type": "Answer", "text": "Machine vision is critical in the quality control of any product or manufacturing process. It detects flaws, cracks, or any blemishes in a physical product. Additionally, it can verify the precision and accuracy of any component or part throughout product assembly." } },{ "@type": "Question", "name": "What are the fundamental components of a machine vision system?", "acceptedAnswer": { "@type": "Answer", "text": "A machine vision system's primary components are lighting, a lens, an image sensor, vision processing, and communications." } }] }

Read More

Spotlight

Amphenol PCD

Amphenol Pcd, a subsidiary of Amphenol Corporation, is one of the world’s leading suppliers of interconnect products for Military, Commercial Aerospace and Industrial applications. Located north of Boston in Beverly, Massachusetts, the company designs and manufactures a wide range of products - System Attachments, Junction Modules, Relay Sockets, Terminal Blocks, Rectangular & Circular connectors, and Cable Assemblies, to name a few.

Events