Why costs of computer vision are lower than ever | Venturus

Why costs of computer vision are lower than ever

You’ve probably heard of Computer Vision, even if you don’t know about it in depth.

Take, for instance, news of autonomous vehicles that roam streets and roads without constant driver supervision. These vehicles use a variety of advanced technologies, such as sensors, cameras and complex software.

At first glance, it seems that all this is for large technology industries only, inaccessible to industry. But, in fact, the costs of using computer vision (as in the example cited) have never been lower.


Understand better:

In the example, Computer Vision is the technology that allows the vehicle to perceive the environment around it and make decisions autonomously, quickly and with a high degree of safety. Currently, there already are vehicles being tested in some countries that can move around the streets and roads without drivers.

Autonomous vehicles use Computer Vision

Driverless cars are almost a reality


Computer Vision Uses in Industry

The use computer vision systems is not new to manufacturing environments. For a long time, industry has been applying this technology in:

  • Quality inspections
  • Tracking
  • Part counting
  • Machinery safety
  • Among many others.

Robots, cameras and artificial intelligence operate with production line workers to increase the efficiency of production processes.

Although the technology is already known in manufacturing environments, the high cost of implementing these systems has always been a factor of great importance as a criterion to greenlight a project. Therefore, very rigorous evaluations have always been required to verify the feasibility of Computer Vision projects.

Computer vision in industry

Computer can help in many industries


With the advancement of technology, the cost of this type of system began to decrease day after day, allowing more uses to have viable implementations. This change of scenario and accessibility to these solutions brings huge gains in efficiency and productivity to industrial areas at an ever lower cost.

Want to learn more about why now is the time to invest in computer vision systems that are more cost-effective for your industry? Read this article to the end!


What is a computer vision solution?

A computer vision solution needs different components and equipment. It is essential:

  • Suitable camera;
  • Intelligent algorithm for Computer Vision, ranging from digital image processing algorithms to models trained by deep learning algorithms;
  • Hardware for image processing and communication with other systems

All of these components must be selected and adapted according to the needs of each project.

Cameras need to be chosen considering different technical aspects —from image capture sensor mode to components such as lenses with the necessary specifications to capture what needs to be verified by the solution.

Computer vision algorithms have training needs for the solution, which always requires customization for its specific purpose.

In addition, the codes need equipment that can perform the processing of images and videos in the appropriate time for each application. While some uses need processing in milliseconds, others tolerate responses in longer time, which can be a few minutes.

All of these needs and specificities for the construction of a computer vision solution were prohibitive factors for the development of these projects. However, technological advances have changed this scenario, making the current moment filled with more accessible opportunities for different industries that want to apply computer vision in their processes.


Why costs are lower

Some factors contribute to computer vision systems becoming more financially viable, including in uses that previously faced difficulties in ROI studies.

The main factors are:


·         Cheaper CMOS sensors

The CCD sensors — Charge-Coupled Devices — capture light from scenes and transform them into color images that are transferred to the camera’s memory system or equipment. They were widely used in vision systems and, for a few years, were the preferred technology — due to factors such as better sensitivity and lower noise level.

However, with advances in CMOS — Complementary Metal-Oxide Semiconductors — sensors manufacturing technology related to the reduction in variability in the manufacturing process, they have become the preferred technology in most applications.

In addition to lower manufacturing costs, the most current versions of CMOS sensors have lower power consumption and greater availability in supply chains, since several manufacturers have migrated to this technology.

CMOS sensors are cheaper than ever

CMOS sensors have evolved a lot in the past years


·         Faster and cheaper processors and GPUs

Over the past 25 years, we have seen a large increase in computing power relative to its cost. The estimate is that, every 4 years, the computing power a dollar can buy increases by 10x.

The advancement of microelectronics, especially in GPU — Graphics Processing Unit — technologies provides the computing market with increasingly powerful and efficient devices, suitable for processing graphics, images and videos.


·         Cloud computing

Cloud computing systems have evolved a lot in recent years. Leading cloud solution providers have hardware solutions and artificial intelligence algorithms in the form of APIs for simplified and secure integration into custom software.

It is possible to begin Computer Vision projects by training artificial intelligence models in the cloud and only pay for the processing time of the models on machines with GPUs. The configuration of the machines is fully customized to the size of the application and complexity of the processing, without the need to spend on unnecessary hardware.

In addition, some APIs already have pre-trained models for a variety of computer vision use cases, reducing neural network development and training time for the application.


·         Open-source libraries

The evolution and popularization of current programming languages have allowed open source libraries to have more contributors in the developer community. Modern high-level programming languages have become more accessible and easier to learn, gaining more developers in computer vision using it for many practical cases.

Library opencv, available in Python and other languages, for example, has over 2.5 thousand algorithms optimized for Computer Vision. Developers can prototype applications faster by creating PoCs (Proof of Concept) and validating the business value of solutions with less effort when compared a few years ago.


Industry on a new level

The industrial market sees Computer Vision as one of the enabling technologies for Industry 4.0, always seeking to improve results. In addition to uses at different times of industrial processes, computer vision is in a moment of interest and intense growth due to the factors listed in this article, such as:

  • Increasing accessibility to this type of solution
  • The growth of the community of developers dedicated to these advances.

Thus, different industries can benefit from the use of this technology. Many partnerships in this regard have already generated quite impactful results. This movement is expected to continue to grow further in the coming years.



Venturus Vision is responsible for the Computer Vision initiatives and projects within Venturus.

Our team of experts in Artificial intelligence and Computer Vision has the experience and academic training necessary to research new technologies and develop customized industrial vision systems for each specific use case.

Uses such as high-precision inspections on parts, color calibration on medical monitors, vision systems for robots and robotic arms, and facial recognition for machine safety are some of the solutions already developed with Venturus Vision.

Contact us to speak with an expert.

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