Computer vision in new battery factories


Have you ever asked yourself if is it possible to reduce the risk and improve the quality in the batteries production? The answer is yes, it is possible thanks to the computer vision in new battery factories that we are going to see in this blog.

What does the computer vision that is used in the new battery factories consist of?

Computer  vision is a field within Industry 4.0 which allows machines to perceive and understand the world around them through images. It is based on the use of cameras and algorithms to interpret visual information.

In the industry, computer vision systems are used in a broad range of applications, such as quality inspection, control processes and robotics. These systems are made up of a set of components, like cameras, sensors and software, that work together to perform complicated tasks.

For the correct performance of an computer vision system, be it for the new battery factories or other industries, a series of conditions and requirements must be met:

  • Lightning: The light must be constant so the light changes captured by the computer vision system come from changes in the inspection objects and not from changes in the light source.
  • Cameras: They must be special cameras since it is necessary to have squared physical pixels to have more exact measures, as well as advanced shutters.
  • Image Processor: It is possible to it from a computer connected to the camera or from the camera itself if it is a smart model capable of analysing the images and providing a result by itself.
  • Stating: It is a mechanic process that consists of placing the object to be examined in front of the camera. In this process, it is possible to have other types of sensors that indicate if the object is wrongly situated.

Which is the utility of the computer vision systems in the new battery factories

Currently, computer vision systems are very versatile and they can be applied in multiple industries and processes. As could be the case of the packaging industry to carry out labelling processes, part placement, and verification impression…; in the logistics industry these vision systems will be useful for dangerous materials detection, robotized pick and pack, character recognition…; and in the healthcare sector the vision systems help to do a better lecture and verification of the packings, needles, syringes, x-rays…

In the automation sector, the use of computer vision systems is more and more important to the control of the batteries of the vehicles. Nowadays, it is increasing the production of electric vehicles therefore it will be necessary to increase the number of manufactured batteries. This element makes possible the movement of the vehicle therefore it will be necessary to carry out good handling of them throughout the assembly process.

Batteries are sensitive elements that require big precision when handling them to proceed with their placement in the vehicle. Therefore, a computer vision system will be used that allows detection of which position the battery is in and so be able to send to the robot the exact position of the battery, these systems also will be useful to be able to view possible errors that the batteries could present, such as their connections or possible cracks or other elements that are not correct.

Benefits of the use of computer vision in the new battery factories

The use of artificial vision in battery factories presents a series of benefits, we show you some of them next:

  • Quality improvement: Ccomputer vision can help to guarantee that batteries meet quality standards, which can reduce considerably the number of defective batteries
  • Greater efficiency: computer vision systems can help to improve the efficiency of production, which would lead to cost reduction and increased productivity.
  • Risk reduction: by using these systems it is possible to reduce the security risks in battery factories, improving the security of the workers.

Applications of computer vision in the new battery factories

Artificial vision can be used in battery factories for multiple tasks, among which are the following:

  • Quality inspection: used to find defects, as they can be damaged, leaks or impurities. This guarantees that batteries meet quality standards.
  • Process control: computer vision is used to control the processes of battery manufacturing, such as ingredients mixing, training and packing. As a result, it is achieved to improve the efficiency and the consistency of the production.
  • Optimization of the production: computer vision can be used to optimize battery production, such as production planning and resource allocation. As a consequence, there are cost reductions and a productivity improvement.

The use of computer vision in battery factories is an increasing tendency. Artificial intelligence offers a series of benefits that can help companies improve the quality, efficiency and security of battery production.



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