How motion tracking makes human more productive in factories?

Object detection Let’s take an example of image sequence detected by a motion camera. In the first step, the camera detects the movement of foreground objects with the background. The distribution of typical values can be detected pixel by pixel of the approach used in this model of the project. This uses most frequent pixel models with the central notion which is more likely to respond with the imaginary of the background. With using the parameterized distributions by modeling the pixels, the noise of increased sensor can be captured with the repetitive motion of the background in a compact description.

After estimating the background model, foreground and background of the objects in pixels can be classified with the accumulated model with using the outer detection. By updating the background model frequently in each pixel, the gradual changes can be detected with lighting changes like sunrise or sunset or because of cloud cover changing along with geometrical changes like parking of cars. This method which is used in detecting human motion is known as algorithm. The corresponding pixel labels and the input image can be labeled with the background model. In this way, the object movement can easily be detected by bridging the connections with the foreground areas. However, the additional objects in the foreground can easily be seen and identified. Other immovable things can also be identified with the moving objects with 2D motion tracking.

Object tracking In the next step, the objects sequences can be linked and blobs frames of images with one another and this is also known as blob tracking. Each object blob can be described with an attribute set in order to achieve this aim. In this way, the velocity, position and size can be collectively called the state. The state can be tracked with the exact position of the object by a specific type of filter. From the current object blob, the information can be utilized with the previous state of the object in order to build a certain estimate of the state of object. The current measurements and the object dynamics that are previously calculated are combined to avoid noise from the blob measurements which is more likely to do object tracking. For instance, detecting the last velocity and position of a car can give a rough calculation of its exact position currently. The tracking accuracy can be improved by mixing the available rough estimate with object velocity.

Innovations in technology of motion tracking In this age of more new innovations and highly advanced technology, the question is still alive – Are human labors really important for factories? In reality, humans have notable and different talent that machines couldn’t have. The new tasks and work requirements probably come in the organization and this is extremely adaptive for the manufacturers. Therefore, machines will not become successful to be replaced with human labors. In fact, the future workers can be highly productive by using the new technologies. They will become more efficient problem-solvers and flexible with the changing conditions. The humans only have the capability to be flexible with changing conditions with the sense of cooperation and most factory jobs require problem-solvers of high level. In short, all these features will not let machines to take place of humans.

Planning about the sequence of work in advance is a more robust way to make workers more productive. In this way, they can learn the tasks more easily and quickly. Also, the optimization of time and safety can easily be ensured with the performance of workers. That is why the leading manufacturers in the market are capable to distribute the task among workers in a sequence and profile the tasks accurately with the help of motion tracking. After it, the data collected by the hardware of motion captured is integrated into the human motion software in order to analyze the performance of humans.

Because of so-called logistic challenges and magnetic interferences, the motion capture hardware can’t be used actually on the actual floors of factories which is the major drawback associated with motion capture. In this way, the leading manufacturers make their own motion capture laboratory along with the prototype of cells and factory lines representations. But this idea is not only expensive but this is also challenging and making the exact replica of laboratory environment is almost not possible.

This technology is very innovative and new and this makes the environment more effective with tracking the human and object motions and turning them into pixels. With having the little bit knowledge about the control of the tool, the analytics can easily mark the object’s movement and velocity and then place their movements on the depth area where they can’t appear. This technology is also used in military and film industries. In this way, this technology is said to be very interactive and robust.

Conclusion When it comes to involve the new technology in the processes of organization, this is more meaningful when the right use is made with the problem-solvers in factories. There is a wide area can be covered under the system of motion tracking with having lots of benefits. Many areas are more likely to use motion tracking and lots of problems will be solved very easily with the utilization of more robust software and hardware. There are more uses of motion orientation and tracking likely to be seen very soon. Hence, motion tracking can become more successful technology.

Visit inertiallabs.com to know more about motion tracking.software and hardware.

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