Web Development Labs (WDL) is planning its next foray into the troika of Augmented Reality, Artificial Intelligence and Internet of Things. The whole purpose is to provide the industries with the process automation solutions. This article analyzes what benefits does this trio of AI, AR and IoT could do to the organizations in this regard.
In the past few decades, manufacturing industry has drastically grown both locally and globally. This growth is the result of the huge increment in the supply and demand of various products that have gained immense popularity amongst consumers. Ranging from a simple home appliance like a toaster to a space shuttle, the contribution of the manufacturing industry scales largely and has revolutionized into a need rather just a requirement.
Various manufacturing industries revolve around different products, hundreds of processes, and product manufacturing cycles. Each stage of these cycles need to be effectively measured and monitored to produce a fault free product. Increasing demand from consumers for lower costs, higher quality products, and quick support has forced the manufacturing industries to strategically incorporate modern technology that can monitor, streamline and automate the processes of the various manufacturing environments. Companies are investing large amounts for employing the best possible solutions that involve the most rapidly evolving troika of IoT, AI and AR. With the inclusion of this technology, companies can streamline their operating procedures, provide quicker and cost-effective support to their customers, and closely monitor their manufacturing processes to avoid defects and damages.
Augmented Reality, when combined with Artificial Intelligence and Internet of Things, do wonders in the field of troubleshooting and maintenance. Critical situations, where the machine must be put live for fixing, requires exceptional skill and care. In scenarios like this the entire manufacturing vault is interconnected via Internet of Things, which is being constantly monitored and analyzed by the Artificial Intelligence installed within. Engineer, having the AR facility, will instantly be notified of the unseen damage incurred inside the machinery with the help of AI and IoT combined. AI keeps track of any data generated from the IoT installations, and if it does AI monitors it, analyses its nature and other stats, and decides who is the right person to notify this change, which is in this case our troubleshooting engineer. The AR facility has direct and constant access to the databases of IoT data, engineers are instantly notified about any ripple-effects created from their troubleshooting tasks.
Many companies have now started to implement the trio (AI, AR and IoT) to streamline their critical maintenance cycles. While running maintenance checks, instead of field workers confirming a maintenance target using a maintenance manual, workers will be equipped with an Augmented Reality facility, which can then guide them through a step-by-step wizard, notifying things on the screen overlaid on the real-world objects. Everything is done right on the maintenance site and worker is fully engaged with the core task of maintenance instead of reading the manuals. While IoT and AI empowering the Augmented Reality, workers will also be able to instantly spot the defects in the machinery that neither human-eye can perceive nor can be detected until that area is properly tested.
Industries with the trio implemented are handling mechanical support like a breeze. The support providers are viewing the work from the perspective of the working engineers. This is possible only because of the seamless amalgamation of the three technologies that work in sync with each other to provide this interactive experience. The engineers wear the AR facility, get to the machine, and start operating it. In the mean time, the supervisor or support executive connects to those group of engineers and starts viewing what the engineers are looking at. The supervisor then selects one of the connected engineers and provide instructions. The connected engineer is receiving live instructions that are displayed on their screen on run-time. In this way, their AR facility is working as an instructional overlay to the real-world.
One of the many use cases of this trio implementation is the quick access to appropriate data, hence encouraging in house maintenance capabilities. Engineers can easily get live access to live video feeds, graphics, images and use it to repair machines. In case, they require training material resided in their internal data sources, they can simply scan the QR codes and enjoy the experience. This is exceptionally time and cost-effective mechanism where their machines are getting fixed without the need of highly expert troubleshooting engineers. Factories can manage these tough jobs internally. Augmented Reality coupled with Artificial Intelligence and IoT enable the factory managers and workers to hurriedly identify flaw visually and prevent the downtime from even sprouting.
In manufacturing industry train-before-getting-live is a common practice for the workers. There are some sensitive machinery that require the workers to be trained for weeks and months even before starting their work on it. The training time is extended to ensure error-free working experience due to the apprehension of damage or loss of life. In many manufacturing industries, this apprehensive training can be turned into an interactive live training where the workers will test the machine on live environment while wearing the AR facility. The power of AI, AR and IoT can take this learning experience to the next level where the system would be able to intelligently re-arrange the training material based on the stress levels of the trainee. Data required for this re-arrangement will be gathered from multiple sources like cameras that are installed in the AR facility would deliver the data of trainee’s facial expressions, the smartwatch of the trainee would provide impulse rate and body temperature, the machine data would keep the training system informed about its critical status.
The technology of superimposing data (graphics and text) on the user’s screen has drastically changed the workflow dynamics at manufacturing industry, and everyone is being benefited by the trio of AR, AI and IoT. Executives can visualize the shop floor performance, machinery’s cost on repairing and profit on the go; managers can visualize analytical, performance and operational stats; engineers can instantly get access to production defects, machine health and quality assurance stats. The most beatific aspect of all this technological sorcery is that everything is happening on the fly, on the mere scan of QR code, product ID, product images, and shop floor videos.
Various manufacturing industries revolve around different products, hundreds of processes, and product manufacturing cycles. Each stage of these cycles need to be effectively measured and monitored to produce a fault free product. Increasing demand from consumers for lower costs, higher quality products, and quick support has forced the manufacturing industries to strategically incorporate modern technology that can monitor, streamline and automate the processes of the various manufacturing environments. Companies are investing large amounts for employing the best possible solutions that involve the most rapidly evolving troika of IoT, AI and AR. With the inclusion of this technology, companies can streamline their operating procedures, provide quicker and cost-effective support to their customers, and closely monitor their manufacturing processes to avoid defects and damages.
Augmented Reality, when combined with Artificial Intelligence and Internet of Things, do wonders in the field of troubleshooting and maintenance. Critical situations, where the machine must be put live for fixing, requires exceptional skill and care. In scenarios like this the entire manufacturing vault is interconnected via Internet of Things, which is being constantly monitored and analyzed by the Artificial Intelligence installed within. Engineer, having the AR facility, will instantly be notified of the unseen damage incurred inside the machinery with the help of AI and IoT combined. AI keeps track of any data generated from the IoT installations, and if it does AI monitors it, analyses its nature and other stats, and decides who is the right person to notify this change, which is in this case our troubleshooting engineer. The AR facility has direct and constant access to the databases of IoT data, engineers are instantly notified about any ripple-effects created from their troubleshooting tasks.
Many companies have now started to implement the trio (AI, AR and IoT) to streamline their critical maintenance cycles. While running maintenance checks, instead of field workers confirming a maintenance target using a maintenance manual, workers will be equipped with an Augmented Reality facility, which can then guide them through a step-by-step wizard, notifying things on the screen overlaid on the real-world objects. Everything is done right on the maintenance site and worker is fully engaged with the core task of maintenance instead of reading the manuals. While IoT and AI empowering the Augmented Reality, workers will also be able to instantly spot the defects in the machinery that neither human-eye can perceive nor can be detected until that area is properly tested.
Industries with the trio implemented are handling mechanical support like a breeze. The support providers are viewing the work from the perspective of the working engineers. This is possible only because of the seamless amalgamation of the three technologies that work in sync with each other to provide this interactive experience. The engineers wear the AR facility, get to the machine, and start operating it. In the mean time, the supervisor or support executive connects to those group of engineers and starts viewing what the engineers are looking at. The supervisor then selects one of the connected engineers and provide instructions. The connected engineer is receiving live instructions that are displayed on their screen on run-time. In this way, their AR facility is working as an instructional overlay to the real-world.
One of the many use cases of this trio implementation is the quick access to appropriate data, hence encouraging in house maintenance capabilities. Engineers can easily get live access to live video feeds, graphics, images and use it to repair machines. In case, they require training material resided in their internal data sources, they can simply scan the QR codes and enjoy the experience. This is exceptionally time and cost-effective mechanism where their machines are getting fixed without the need of highly expert troubleshooting engineers. Factories can manage these tough jobs internally. Augmented Reality coupled with Artificial Intelligence and IoT enable the factory managers and workers to hurriedly identify flaw visually and prevent the downtime from even sprouting.
In manufacturing industry train-before-getting-live is a common practice for the workers. There are some sensitive machinery that require the workers to be trained for weeks and months even before starting their work on it. The training time is extended to ensure error-free working experience due to the apprehension of damage or loss of life. In many manufacturing industries, this apprehensive training can be turned into an interactive live training where the workers will test the machine on live environment while wearing the AR facility. The power of AI, AR and IoT can take this learning experience to the next level where the system would be able to intelligently re-arrange the training material based on the stress levels of the trainee. Data required for this re-arrangement will be gathered from multiple sources like cameras that are installed in the AR facility would deliver the data of trainee’s facial expressions, the smartwatch of the trainee would provide impulse rate and body temperature, the machine data would keep the training system informed about its critical status.
The technology of superimposing data (graphics and text) on the user’s screen has drastically changed the workflow dynamics at manufacturing industry, and everyone is being benefited by the trio of AR, AI and IoT. Executives can visualize the shop floor performance, machinery’s cost on repairing and profit on the go; managers can visualize analytical, performance and operational stats; engineers can instantly get access to production defects, machine health and quality assurance stats. The most beatific aspect of all this technological sorcery is that everything is happening on the fly, on the mere scan of QR code, product ID, product images, and shop floor videos.
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