Business insights through AI
Monitoring your assets in real time provides invaluable data that can be disseminated by machine learning systems. Insights such as shifts in production, faults in workflows and predicting equipment failure are some of the applications of AI in manufacturing. But it’s not all faults and failures being predicted and reported on. Through the use of IoT and any data stored from the machines, AI allows us to look at the data that your business is already collecting and analyse it, then present it back in a customised way that you can action within your business. Learnings found through the automatic AI work of your real time data can increase the profitability of your business by discovering new efficiencies, optimising human made product designs and even improve demand forecasting.
Within the manufacturing sector, particularly those businesses using heavy machinery assets and equipment, it may be more profitable for a business to implement automation around their asset’s optimisation and set points, rather than the reliance of highly skilled manual input. However reducing human error is a small area of benefit within asset optimisation. With the increasing levels of compliance and regulations for safety, businesses need to have the ability to make snap changes and alterations within their assets and adjust their manufacturing strategies efficiently. This can be achieved more timely and at a larger scale through AI and automation technologies.
Package identification and inspection
Machine vision is one of the most prevalent applications of AI in today’s modern manufacturing landscape. Speed up your production lines, reduce errors and scale up tasks traditionally done by humans. The inspection of products coming off of production lines is such a task typically completed by humans, but with the increase in AI driven automation in this field – learnings can be designed to both identify defects in the packaging process and minimise potential recalls. Inspection of design, placement of labels and more can be captured and verified against existing data using a comparison of “region of interest” zones. Your business (and consumers!) will enjoy a greater consistency in quality standards, and your business stakeholders can see the opportunities brought on by this scalable inspection method.
How can machine learning work for me?
Whether you are working with large scale assets, production lines, product design or any manufacturing element in between – your profitability, efficiencies and business returns may be positively affected by implementing AI technologies in your existing systems. At Truis we have the industry insight and technical knowledge to build use cases for your business, get in touch with us today, let’s discuss how we can improve your business operations through machine learning.
At Truis we’re passionate about educating our clients on new technologies and helping you reach your business goals, read more about our thoughts on AI in both the Retail and the Media space in our previous articles in this series.