What Is 3D Embedded Vision?
3D embedded vision is a different level of computer vision that allows for systems to “see” the environment around them and calculate the location of an object and its orientation. This kind of “embedded vision” involves multi-camera setups and sensors.
3D embedded vision allows for a much clearer “eye” on the production process, and it can help streamline automotive production in various ways.
Automotive Production Processes Before Embedded Vision
Many automotive companies are busy trying to improve the way they produce vehicles. The process is quite complicated, but it has several major phases. Obviously, cars are created by both humans and machines playing a critical role in automotive production.
First, the car’s raw materials are gathered. The car is then built “from the frame up.” Second, the many different car parts are assembled together. Lastly, the paint is applied, and the car is then mounted before being finally assembled.
The car engine is started, and the car is inspected. While technology has improved the way companies create cars - this is the general automotive production process.
How Is 3D Embedded Vision Enhancing Processes?
The automotive industry was one of the earliest adopters of 3D embedded vision technology. Here are some of the ways that it enhances the automotive production process.
One of the major ways that 3D embedded vision improves automotive production is fairly simple: it helps speed up the production process significantly. The beauty of 3D embedded vision is that it can detect and process images within milliseconds.
A 3D vision system can inspect parts in real-time, which is an incredible resource in terms of quality assurance. The vision system can be “trained” to assemble cars correctly and fix cars that seem to have an assembly issue.
3D vision analyzes both human and robot interaction, which allows companies to leverage robotic technology more efficiently. Sensors could “sense” a human being entering a particular space, for example, and stop robots that may be in the human’s path.
Possibilities for the Future
There is no doubt that 3D vision will be used to automate more processes, and it will likely help accelerate and optimize automotive supply chains. Robots will take on more complicated and “agile” tasks, which will increase both efficiency and accuracy.
It can be challenging to predict how technologies can disrupt entire industries, and there is a chance that the role of 3D embedded vision may evolve. However, the technology will undoubtedly help the automotive industry scale and innovate over the next several decades.
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