The automotive industry is introducing several specialised systems, exploring into 3D printing, and implementing other sophisticated innovations. For decades, the Indian car industry has become industrialised. Automotive development is connected to huge, hulking machines fenced off by human employees. Tasks like welding are undertaken inside such fenced off zones.
The business, however, is progressing on the automation front. The use of autonomous machines, known as cobots, continues venturing towards automakers and manufacturers. Such systems are also easier and faster, yet versatile, and can be deployed safely alongside human operators.
1. Data-driven decision automation
Digital technology has brought data and technologies to capture, manipulate, interpret, engage with, and operate on it. Computer science has come a long way from artificial analysis and early analytics applied to orderly knowledge held by companies to include innovations such as big data and predictive analytics, computer and deep learning, processing of natural language and object recognition, and can accommodate completely immense quantities of data from a range of sources and formats and with varying degrees of cleanliness. Subsequently, the way data is being used has witnessed a sea shift, as it is no longer about observing past figures, but about recognising events as they unfold in real time, and anticipating possible events before they occur. Where data in retrospect merely offered a diagnosis, it now produces insights that can be used to make better choices and initiate prompt measures. All of this, without human interference, will operate on its own.
2. Physical automation of tasks and operations
On the car factory floor, robotic automation is indispensable for doing anything from welding to fabrication to painting. The funding and selling of vehicles has also pervaded.The funding and selling of vehicles has also pervaded. Going from traditional machinery to automated bots, taking advantage of the automation of robotic processes is a concept that has been common across the industry managing customer requests in funding corporations, corporate offices, and software robots arranging service appointments, issuing warnings, running diagnostics and even selling vehicles themselves at dealerships.
3. The ecosystem’s intelligent automation
The automobile environment itself will be taken over by robotics at the third and highest level. Technology like the Artificial Intelligence is already propagating the grounds for ecosystem automation since many years. A scenario of that sort might be imagined like; a prospective buyer asks an online chatbot on the website or social messaging app of a car maker about everything he wants to know about a specific product. The bot transmits the data and meaning to the car maker, who may deliver additional related content and promotional deals to the consumer using an integrated marketing network and organise a test drive in a virtual reality environment.
4. Collaborative Robots
In the auto industry, interactive robots are being found. “Speed and cost are two key factors driving the interest of the automotive industry in collaborative robots,” Robots were one of the first manifestations of automation on the automotive industry factory floor.
The early stages of robot adoption were to do risky, recurring work,
Collaborative robotics can be integrated more rapidly and into current development environments. These robotics are also capable of operating with existing development cells and operators, thus eliminating the need for extra structural or infrastructure costs.
5. Machine Vision
In order to justify price points, the need for cleaner, more durable and robust vehicles is forcing manufacturers to implement machine inspection. And by having an automatic internal system inspection process, Machine Vision (MV) helps them satisfy this need.
Using imaging techniques such as traditional imaging, hyperspectral imaging, infrared imaging, line scan imaging, 3D surface imaging, and X-ray imaging, this technology serves as the lens of the automobile development chain.
In addition with interfaces like Camera Link or CoaXPress (or custom interface), a smart camera or smart sensor mostly with frame grabbers is used to monitor or take images of the surface to be examined.
Conclusion:
These days, technology pervades in most sectors. It would not be unexpected if the possibilities of precision food, smart engineering, or digital medicine had already been explored by most of the industrial intelligentsia. And automation technologies such as Artificial Intelligence (AI) or machine learning are not new to these sectors, like the automobile industry. Mikro Innotech. Pvt. Ltd. is a leading company engaged in delivering automation systems in both Indian and foreign markets. For more details, contact our team.