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.
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.
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.
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.
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.
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.
"name": "What is the difference between computer vision and machine vision?",
"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."
"name": "Where does machine vision come into play?",
"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."
"name": "What are the fundamental components of a machine vision system?",
"text": "A machine vision system's primary components are lighting, a lens, an image sensor, vision processing, and communications."
Article | November 23, 2021
Having recently returned from Uganda, had the pleasure of being introduced by Bernard Munyanziza of Nziza Hospitality to Gilbert Atuhire. He is the Managing Director at Value Addition Microfinance Ltd. which provides micro loans to producers and manufacturers.
Atuhire is an attorney by training, however his ability to articulate the core values of Lean Six Sigma and continuous process improvement were abundantly clear. The Kampala, Uganda offices are located on Parliamentary Avenue and Dewinton Rise. This central location allows direct access to industrial projects.
Article | October 27, 2021
Technologies in the manufacturing industry are upscaling daily. Manufacturers are keen to embrace the latest manufacturing trends to improve their manufacturing process, total production rate, and product quality at their factories. Manufacturing technology advances have also boosted production speed while retaining product quality.
“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.
Apart from manufacturing technology developments, we will look at new manufacturing business trends in this article, which will help you achieve maximum customer engagement and a positive relationship with your target consumer groups.
So, let's see some of the top manufacturing business trends that are assisting the industry in improving its business processes.
Manufacturing Business Trends: 2022
Manufacturers must adopt a business procedure that focuses on the target consumer group. Also, incorporating social responsibility and technology into company procedures would be beneficial.
Here are five ways manufacturing leaders are becoming more communicative and results-oriented in their manufacturing and consumer experience strategies.
Deliver a One-of-a-kind Digital Experience
Every industry's target demographic is now online. Manufacturers must use digitalization to interact with their target consumer group to be noticed and remembered. Maintain an active presence on all popular digital platforms used by your target demographic. Post your new products, business strategy, or get genuine customer feedback on your brand and products. Engage your target audience and keep them informed of your progress in making their lives easier.
“Marketing is VERY important to any company, although I generally see it being justified by the number of web hits or ‘leads’ that come in” – John Hays, Director of Sales at BALYO
Allow your clientele to interact with your products digitally. To be a part of the new digital revolution in any industry, create a new digital business model.
Initiative for Ecosystem Partnership
An ecosystem partnership is a network of enterprises working together to provide a product or service to meet changing market needs. A partner ecosystem can generate customer-ready solutions faster. It also helps firms to co-create value. This value is demonstrated in extraordinary customer and partner experiences. The B2B ecosystem partners work together to bring mutual benefits to their companies.
Revenue Generation via Data Monetization
Data monetization allows industrial CIOs (Chief Information Officers) to monetize their digital products and services. Rapid digitization in manufacturing generates massive data. CIOs may monetize and distribute data across ecosystems. CIOs can leverage information as a resource to generate new services or business models. This ensures revenue even when external reasons like supply chain issues or human resource shortages interrupt the firm.
Using the Equipment as a Service (EaaS) Approach
EaaS, or Pay-Per-Use, is defined as: A business model where equipment is rented rather than sold, with remote diagnostics and predictive maintenance solutions offered by the vendor.
Using Eaas reduces capital expense, improves data reliability, and lowers operating costs. As a result, producers can undertake all production-related tasks with precision.
Bosch RexRoth CytroBox – a Perfect Example of EaaS
The global equipment-as-a-service market is estimated to develop at an 11.5 percent CAGR from 2021-2027. (OpenPR)
The RexRoth Cytrobox from Bosch is an example of EAAS. This hydraulic power unit converts electrical power into hydraulic fluid pressure and flow to move and force a machine. They are widely utilized in presses and tooling equipment.
It can handle up to 33 kW in a small space. Its exceptionally flexible; its unique design allows it to run efficiently and quietly. In addition, modern automation and sensor packages allow easy integration into modern machine designs.
Benefits of Bosch RexRoth CytroBox
It provides data insights during the long lifecycles
Using this hydraulic power unit on a lease can save a lot of money which cost $100.000
It requires heavy maintenance cost as per its type of usage that can be avoided with the EaaS approach
Shifting the Emphasis from B2B to B2C
Many firms are moving their attention from B2B to B2C to understand their target consumer better. This new strategic approach helps producers identify market needs and gain real-time feedback on their products. This method helps producers increase profit margins while also controlling the product's interaction with the intended audience.
The latest manufacturing trends will take you to the cutting edge of manufacturing. The manufacturing developments in 2022 will boost the total manufacturing market in the coming years, allowing manufacturers to generate more business revenue.
What is the manufacturing industry's future?
Industry 4.0 is rapid technological progress in production and is transforming the worldwide manufacturing industry. According to bccresearch's market research, the global manufacturing and process control market is predicted to increase from $86.7 billion in 2020 to $117.7 billion in 2025, a CAGR of 6.3 percent.
What is the industry 4.0 technology in the manufacturing industry?
IoT, industrial internet of things (IIoT), Cyber-physical systems (CPS), cloud computing, artificial intelligence, big data, machine learning, robotics, virtual reality, augmented reality, and additive manufacturing or 3D printing are some technologies that are used in industry 4.0 factories.
What are the current technology trends in the manufacturing industry?
AI, robots, 3D printing, and the like are all the latest manufacturing trends in manufacturing technology. Additionally, enterprise resource planning (ERP), cloud computing, and machine vision all play a significant part in advanced manufacturing.
"name": "What is the manufacturing industry's future?",
"text": "Industry 4.0 is rapid technological progress in production and is transforming the worldwide manufacturing industry. According to bccresearch's market research, the global manufacturing and process control market is predicted to increase from $86.7 billion in 2020 to $117.7 billion in 2025, a CAGR of 6.3 percent."
"name": "What is the industry 4.0 technology in the manufacturing industry?",
"text": "IoT, industrial internet of things (IIoT), Cyber-physical systems (CPS), cloud computing, artificial intelligence, big data, machine learning, robotics, virtual reality, augmented reality, and additive manufacturing or 3D printing are some technologies that are used in industry 4.0 factories."
"name": "What are the current technology trends in the manufacturing industry?",
"text": "AI, robots, 3D printing, and the like are all the latest manufacturing trends in manufacturing technology. Additionally, enterprise resource planning (ERP), cloud computing, and machine vision all play a significant part in advanced manufacturing."
Article | March 29, 2022
How to recover from a cyber-attack is critical when we consider integrating industry 4.0 technologies into our traditional manufacturing processes.
Cyber Crime Is the Greatest Threat to Every Company in the World.”
– Ginni Rometty, CEO of IBM
The internet-based nature of industry 4.0 makes it more prone to being targeted by hackers and having its data corrupted or compromised. In 2021, 50% of manufacturing businesses reported having experienced a cyberattack or data breach.
Having a contingency plan in place in the event of a cyberattack is what every organization is looking for these days.
So, in this article, we will explore how to construct the perfect cybersecurity disaster recovery plan and the critical elements to consider as you prepare for your cyber recovery.
Cybersecurity Disaster Recovery Plan
Observe Your Cyber-incident
Develop a clear cyber incident response plan that you can use to expedite the recovery process. The incident response plan should explicitly delegate tasks to teams and individuals and include all the actions necessary for your organization to recover as painlessly as possible.
Plan for Business Continuity
You must have a strategy for resuming operations while your system remains infected or under attack by hackers. Determine alternates for essential processes disrupted by the incident and train personnel on how to adapt to the new working conditions. For instance, you may need to direct your customer service department to contact customers rather than email them, or your employees may be permitted to use personal computers that your cyber recovery department has cleared. In the meantime, work machines return to their working conditions.
Recover from Safe Backups
Having a cyber recovery mechanism in place will make it much easier to locate a secure backup. However, you must wait until your network is entirely restored and clean before fixing your data. For example, a dependable and fast backup strategy is the best approach to recover from ransomware. This procedure requires a recent version of your data and applications that do not contain malware.
Rebuild or Recover Lost Data
Suppose you do not have a cyber recovery system, but you keep backups as part of your cyber security disaster recovery system. In that case, you will only need to recreate the stored data after the most recent clean backup of your system. If the data is irrevocably lost, you will require professional assistance to recover it.
Improve Your Cybersecurity Practices
After a cyber event, the support after attack is essential part. Examine your security loopholes and determine the areas of improving. Enhance your manufacturing security processes, reset all passwords, and educate your workers to do the same. Educating your team is the most effective means of preventing further intrusions into your systems.
5 Pillars to Recover from a Cyber Attack
An Effective Framework
A framework must be adopted, changed, and fine-tuned to an organization's specific requirements and the data that is to be safeguarded. Executives must develop proper governance for the organization's people, procedures, and technology. To develop a cybersecurity risk management program, you must first select and implement an acceptable framework.
A good cybersecurity disaster recovery plan covers all the data in the organization that needs to be secured. The ever-increasing number of networked devices may make it difficult for a company to locate all its data. An organization must also identify all cybersecurity risks, from third-party vendors to work procedures. Therefore, a cybersecurity program's scope must include all the essential parts of the organization's protection.
Extensive Threat Analysis and Modeling
An essential step in prioritizing cybersecurity threats is assessing their likelihood and damage potential. When prioritizing, the cybersecurity team should analyze the organization's data from a hacker's perspective. This perspective will help the team design a strong cybersecurity strategy.
Proactive Incident Response Planning
Many businesses have created incident response strategies to deal with the possibility that any system's security may be hacked at some point. Unfortunately, many of those plans remain unused and outdated, leaving personnel unprepared when needed. Proactive incident response planning entails evaluating the project, identifying ways to improve its efficacy, and training and preparing staff to respond to a security breach and minimize damage.
Dedicated Cybersecurity Resources
Finally, the organization's cybersecurity requires dedicated individuals. To build a successful cybersecurity risk management program, the governance roles and duties must be clearly defined.
Rendering support following a cyber-attack must be well planned and thoroughly tested. The cybersecurity disaster plan recommended in this article can be modified or customized to meet your business's specific needs. If you're serious about modernizing your traditional manufacturing and making it smarter, cyber recovery should be a top priority. That way, your operations and data are protected at all times.
What are the major types of cyber-threats?
App-based (malicious apps), web-based (phishing), network (free Wi-Fi), and physical (no PIN or biometric authentication) are the major types of cyber-threats.
What are the five types of cybersecurity?
Critical infrastructure security, application security, network security, cloud security, and IoT security are the five types of cybersecurity.
Why are manufacturing cyber-attacks rising?
The rise in industrial cybersecurity attacks can be connected to specific changes in the way the industry functions; technological improvements, especially the convergence of IT and OT systems; the sensitivity toward downtime in certain businesses; and the absence of segmentation.