It is no secret that today industries like banking, retail, and gaming rely highly on artificial intelligence. Now the race is being joined by manufacturing as well. With this, industrial automation is becoming more and more of a possibility today.
The introduction of industrial automation in manufacturing is bound to help on many grounds. Enhanced efficiency, better production and more opportunities are to name a few.
By bringing automation to the world of manufacturing, the way you interact with machines would be revolutionized. Simply put, how you interact with machines, how you respond to each other and how you collaborate with each other would be changed.
Below are the 7 ways in which artificial intelligence (AI) would transform manufacturing:
Process automation is simply the automation of complex business tasks. The introduction of AI and robots would revolutionize how you manufacture products and services. With machines taking control of how complex, recurring tasks take place in your factories, your efficiency and productivity is bound to get better. Automated manufacturing would also enable your company to remove human errors and hence provide better quality products.
With automated quality inspection, you can detect defects and anomalies in the processing and final products. There are lot of softwares available to detect and classifiy defects in objects in a manufacturing line. In addition to this, some software also generate visualizations and analytics to optimize your manufacturing process and the quality of your product(s).
Businesses today are focused on analyzing bigger data-sets that enable better prediction. Now, if you are wondering how better predictions are actually better for your business, the answer is simple: It helps in optimization of actions. And optimized actions are bound to give you improved results. This optimization could be operational, financial or in terms of how you utilize resources. In short, AI helps you better utilize your resources, both financial and non-financial.
Automated sorting is another one of AI's applications that ease the manufacturing process. For example, OCR (Optical Character Recognition) by Silversparro is a software that helps you in the quick classification of elements that have already been entered in the system. Such software saves your time and increases efficiency.
As explained in one of our previous blogs about Sparrosense by Silversparro, which enables you to extract required videos or frames from NVR at high speed and with high precision. The use of an AI-enabled supervisor like that by Silversparro, helps you manage video processing and also keep a check on your CCTVs and NVRs. This software also gives direction to the system to raise alerts, hence making it a better choice.
Predictive maintenance is another application of AI that collects data from various sources like historical maintenance records, sensor data from machines, and weather data and determines when your machine(s) will need to be serviced. The losses because of machine downtime are high: according to the International Society of Automation, $647 billion is lost globally each year. To save your business from such losses, predictive maintenance has become a tool you cannot say no to.
People who use AI to design, AI designers, work with engineers who build tools for data collection and annotation, and design platforms that enable this process. Once a basic design has been entered into the system, the software allows the AI designer to choose among a variety of designs for the final presentation.
With the above mentioned 7 ways and many more, it is obvious that the world of manufacturing is increasingly getting changed and challenged by artificial intelligence and its applications.
Laeba Haider is an adept content developer with a history of working with various technology companies. She is also a digital marketing enthusiast and an avid technology buff.