Industrial Automation & Workplace Safety with IoT, Machine Learning and Computer Vision

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IoT has amalgamated hardware and software with the internet to create a more technically-driven environment. Gartner predicts that by the year 2020, there will be 20.4 Billion IoT devices. Implementation of IoT in healthcare, smart cities and manufacturing industries have formulated innovative ways to assist in the integration of these devices.

IoT is profitable in the fields where both faster development, as well as the quality of products, are the critical factors for a higher Return on Investment (ROI). Some of these fields are the manufacturing industry and Industrial Internet of Things (IIoT) who have transformed their industry with things like big data, artificial intelligence (AI) and machine learning.

The following info will help shed some light on the applications of IoT in manufacturing plants which improves upon workplace safety, production efficiency, reduction of redundancies, plus more:

Digital Twins

Shortcomings and faults in the final production of a product in the manufacturing industry increases expenditures and overburdens employees. A good solution is to install digital twins that replicate the development of a product in a digital form. Whereas, by retrofitting sensors, industries gather data about their product’s entire working mechanism and the output expected from each module. The collected data from the digital replica enables managers to analyze the effectiveness, efficiency and accuracy of the system. They can also identify potential bottlenecks in their product that helps them to create a better version of their product. Lastly, digital Twins streamline operations like asset management and failure management. It supports industries in forecasting the completeness of their baseline and successfully manages increasing throughput thus improving on product deadlines

Supply chain management

IoT devices can assist to track and trace inventory systems on a global scale. Industries can monitor their supply chain by getting meaningful estimates on available resources. It includes information regarding the undergoing work, equipment collection and the estimated delivery date of required materials. IoT devices also eliminate the need for manual documentation for operations and introduces Enterprise resource program’s (ERP’s). They avail the facility of having cross-channel visibility into managerial departments and help the stakeholders in examining the ongoing progress. This helps reduce expenditures resulting from mismanagement and lack of analysis in these organizations.

Self-dependent systems

Production issues and equipment failures are inevitable in a manufacturing environment. However, resolving them is expensive as well as time-consuming. The consolidation of IoT and machine learning enables machines to detect issues and fix them on their own. This creates self-healing automated systems that intelligently regains control when downtime occurs. The embedded sensors notify the production team about the underlying issues hence the automated and independent systems reduce manual efforts and boost the development process. This provides freedom to the production unit to concentrate on other critical issues and increase their productivity. Self-dependent systems provide resilience to industries and help them to achieve an enhanced time to market.

Safety measures with computer vision and AI powered cameras

As more and more industries start using IoT enabled machines and devices at their workplace, the need for workplace safety comes at utmost priority. Be it a construction site where employees are scattered across multiple floors, or a manufacturing plant where specialized equipment is available only on demand, the use of AI powered cameras and machine learning can help achieve the same greater productivity through automated scheduling and intelligence. Here is an example at one of the Demo’s from Microsoft’s Build Conference held last year:

Imagine the possibilities of using different sensors in power plants, water treatment tanks, chemical processing units, etc. The sensors can record and send data to a central system which can have trained machine learning algorithms to identify and resolve discrepancies. This gives industries higher odds of productivity enhancements resulting in higher profits.

If you would like to comment or want one of our IoT consultant to help you with your workplace automation needs, bring it on! Our team will be more than happy to layout blueprint for any of your automation needs!!

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Author: SimNation

We are SimNation - Simulation through technology. We build usable software products that help businesses run better and ensure optimum ROI.

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