Robots are not new in the auto-manufacturing industry.The automotive industry has one of the most automated inventory chains across the globe. 

The first vehicle manufacturing company innovated the use of automotive robots in 1961. Since then, adoption of these units has been on the rise over the years.

New and advanced robotic applications in the industry for tasks other than painting and welding are available today. These are encouraging hassle-free interaction between humans, robots, and artificial intelligence.

Automotive robots help human workers accomplish strenuous and labor-intensive tasks with more flexibility and precision. This lowers risks that may occur in the workplace. 

About Industrial Automation

Industrial automation is penetrating many industries today. It is no surprise that a big percentage of industrial robot intellectuals have started considering smart manufacturing, precision agriculture, or even digital medicine.

Advanced technology like machine learning and Artificial Intelligence has been used in these industries for years. Experts say that the leading surges in current robotics and automation are triggering shockwaves across vehicle manufacturing industries. This will bring about a new industrial transformation. 

Are the Current Advancements Advantageous? 

Even though advanced technologies come with various pros, it's critical to compare them against reality. This is important if players in the industry are to prevent any disaster that may occur from the integration of automation on automobiles. Robotic arms, cobots, AI (Artificial Intelligence), and the Internet of Things (IoT) come in handy.

Currently, advanced technologies are generating a big percentage of; power trains, automobile chassis, and other parts in some companies. This allows human workers in the company to focus on more critical matters. 

Automotive robots are today tackling the most intricate manufacturing tasks. Further, they can complete these tasks within a shorter time compared to human workers. Advanced robotics integrated with learning modules and automation technologies are now executing jobs more accurately. They are also increasing productivity to help the companies become more productive.

Machine Vision

The need for reliable, secure, and powerful automobiles to validate price details is forcing vehicle manufacturers to take in machine inspection. Machine vision comes in handy when it comes to accomplishing this need as it offers an internal automated machine inspection method.

The automotive industry was among the first to adopt machine vision for automatic imaging-based inspection and evaluation for; auto-inspection, robot supervision, and process control.

Machine vision is also known as computer vision. It is a principal source of a big number of advanced technologies. Hardware and software products, expertise, and integrated systems. This technology inspects the automotive production procedure through imaging processes such as: 

  • Hyperspectral imaging
  • Conventional imaging
  • Line scan imaging
  • X-ray imaging
  • Infrared imaging, and
  • 3D imaging of surfaces

Smart sensors or smart cameras with frame grabbers are used together with interfaces to capture or record images of the inspection area. Some companies use digital cameras that can connect directly to a computer through Gigabit Ethernet, USB, or FireWire interfaces. These cameras record images on the surface of the vehicle parts that need to be evaluated.

The images are then evaluated and processed by specific analysis software. Machine Vision helps vehicle manufacturers validate price points, save money, and stay ahead of their competitors. 

Cognitive Computing in IoT Linked Vehicles

Cognitive computing is a technology platform that relies on signal processing and artificial intelligence. These platforms involve the use of machine learning, human language processing, reasoning, human-computer interaction, object and speech, narrative generation, and dialog.

Some connected vehicles are cars that rely on the internet to integrate and communicate together to develop an easy, secure, and non-intermediarytraffic. Some vehicle manufacturing companies are integrating IoT and CC to develop autonomous cars. These are capable of communicating with one another while acknowledging and connecting driving patterns to the human driver's emotional response during different scenarios.  

Vehicle Manufacturing Companies Should Adopt Advanced Technologies

Apart from executing dangerous tasks, automotive robots can help entrepreneurs to increase productivity and profits. The automation technologies we have discussed here are among many that are paving the way with AI and robotics as the foundation. Still, experts reiterate on the importance of heavy regulation and responsibility. These factors will help create a secure and easy future that will be of help to all users.