Augmented Reality in Industry
Augmented reality (ar) is an exciting concept, but implementing it in industry requires expertise in both hardware and software. Converting industrial processes into digital information suitable for AR applications is a challenging task, but once done, it helps improve a company’s overall performance.
Companies can build their own AR capabilities or partner with specialty software and services companies to help them create and deploy this new medium. Which route they take will depend on whether AR is essential to their competitive advantage and how much investment they are willing to make.
Asset identification
Asset identification refers to the process of assigning unique tags and labels to assets in an organisation. These identifiers can be used to track a business’s assets, including their status, location and needs for maintenance.
The right asset identification methods can help you reduce inventory losses, increase productivity and ensure compliance with regulatory requirements. There are many options available for asset tracking, but the most common are barcode and RFID technologies.
Barcodes are used to identify a number of different items, including equipment, tools and supplies. They are often paired with asset tracking software, which provides information on the status of a given asset.
Optical markings are another popular asset identification method. These markings are scanned by scanners and can yield important information about the asset’s location.
These identifiers include data metric codes, QR codes and barcodes. Each of these types of markings has a specific pattern that machines and cameras are programmed to recognize.
RFID technology, which uses electromagnetic fields to transfer data from an asset tag to a reader, is a popular option for industrial assets and stock items. It allows for real-time, precise location tracking of an asset.
In the manufacturing industry, asset tracking can be a critical component of cohesive production processes. By ensuring that key equipment and valuable tools are always in the right place at the right time, companies can increase operational efficiency and decrease costs.
Asset tagging can also be used in healthcare to identify medical equipment and save patients from unnecessary delays. In addition to reducing costs, this type of system can also improve patient safety by ensuring that staff have access to the medical equipment they need when they need it.
Moreover, RFID technology can also help you reduce inventory ar in industry by detecting equipment that is in use, and providing insight into the equipment’s utilization rate. This is useful for determining when to replace or purchase more equipment and when to prioritize maintenance schedules.
Sophisticated vision approaches, such as image classification and machine learning, are also being implemented in industries to automate asset identification. In this approach, an algorithm is trained by analyzing a large amount of images to build a model that can accurately recognize managed assets.
Training
Industry is a term that refers to the production of goods and services with the intention of earning profits. This is a broad definition and includes manufacturing, agriculture, and even retail industries.
Training is an important part of any industry and can be used to help employees learn new skills or develop more robust ones. AR and VR technologies can be very effective for this purpose.
The training can be interactive, making it more interesting for trainees. It can also be a scalable and cost-effective way to train people across the globe.
Industrial companies can use AR to help workers learn how to assemble and troubleshoot equipment without having to touch it or take apart a real model. This can reduce errors and improve safety.
Another major benefit of AR for training is that it can be used to teach any specific task. This can be especially beneficial for jobs that require a lot of hand-eye coordination, such as welding or automotive production.
Many industrial firms are already using AR for their training needs, and it has proven to be a valuable addition to the industry’s education and training processes. It can boost employee engagement, drive efficiency and safety, and even connect teams around the world.
The key to successful AR training is choosing the right platform and measuring the right metrics. This can help business owners understand if the tech is working well and how to best improve it in the future.
Businesses should also prepare for a phase-in period, so they can get a feel for how the technology will work in practice. This will help them determine what works and what doesn’t and can also give them a sense of whether or not AR and VR training is a good fit for their organization.
Several different industries have begun to use AR for their training needs, but the most common use cases are medical and manufacturing. Besides these, the aerospace and military sectors are also seeing major advancements in the use of AR for their training needs.
Ultimately, AR is the future of industrial training and can have major benefits for companies in the industry. It can help businesses save money on training costs, improve retention rates and increase overall productivity.
Knowledge transfer
In industry, the skills and knowledge of all employees are crucial to the success of each production chain. Every time an employee resigns or leaves, the organization loses its collective wisdom and expertise.
This is why it’s so important to implement a knowledge transfer process in your business. A robust system will help you capture and communicate important information in a timely and efficient manner, which will benefit your entire team.
When you’re designing your knowledge transfer plan, make sure it’s a comprehensive document that clearly outlines the steps you will take to share and transfer knowledge within your organization. It should also include a clear process for collecting feedback and surveys that can help you track the effectiveness of your knowledge transfer efforts.
A key component of your knowledge transfer strategy should be to train your employees on how best to capture, store, and distribute their information in an effective manner. Depending on your employees’ work styles, you may need to have them create and save documents in a variety of formats.
You should also train employees on how to identify tacit and explicit knowledge in the workplace and how to transfer that information to new hires. Explicit knowledge is what you would list on an employee’s job description, while tacit knowledge refers to the skills and knowledge an employee has that help them do their job better.
If you have a large number of employees, it might be beneficial to conduct regular workshops or training sessions. This will ensure that everyone is on the same page regarding how to use your knowledge management platform and what their responsibilities are in regard to sharing knowledge with colleagues.
Lastly, be sure to conduct regular reviews of your knowledge transfer process and evaluate the results. By doing this, you’ll be able to spot any roadblocks in your knowledge transfer process and fix them before they cause significant damage.
As you can see, knowledge transfer is a critical part of your business and requires a lot of effort to get the most out of it. However, with the right approach and the help of a knowledge management platform, you can successfully implement a strong knowledge transfer process that will help your team become more collaborative and productive.
Collaboration
Collaboration in industry is a crucial part of any company’s success, as it can help solve complex business problems. Moreover, collaboration can also ar in industry bring benefits to the organization as a whole.
ARS scientists are well-placed to collaborate with industry, as they have the technical expertise and work experience that can help their partners achieve breakthroughs. Some scientists are even cross-disciplinary and have experience in both academia and industry.
As a result, collaborating with industry not only helps researchers to learn more about the field but it can also give them the opportunity to share their own research ideas with their industrial counterparts. This can lead to new ways of working and innovative projects that can help both parties gain valuable knowledge and develop a stronger relationship.
The industry-academic collaboration process has to be carefully planned and managed from the start. Managers must understand what they want to achieve from their partnership, and they must be able to determine what the impact will be on the company’s products, processes or people.
Academic researchers and industry partners can collaborate in many different ways, such as through standalone PhD and Postdoctoral research, long-term strategic partnerships or consultancy. These collaborative arrangements are designed to provide mutual benefit for both sides and can include equipment sponsorship, project-specific funding and intellectual property (IP) management.
One of the most common forms of collaboration is through a contract, where both parties agree to a specific set of objectives and expectations for their collaboration. This can be an effective way to ensure that both parties are on the same page, and to prevent confusion in the future if both parties have different views of what they can expect.
Another form of collaborative research is in the laboratory, where a team of researchers works on a joint project together, using their own expertise to create a product or solution that will be used by the industry. This could be as simple as testing a new ingredient for its potential to reduce the risk of an illness, or it could involve developing a prototype that can be scaled up in production to produce large volumes of a product or a process.
