Nowadays mankind is at that stage of evolution when the vital part of people’s work is transferred to machines. Actually, computer vision is a part of Artificial Intelligence (AI) which helps with the process of machine automation.
Computer Vision and Its Options
Computer Vision (CV) is a process of collecting visual data by machines from the physical world. Computer systems are able to receive important information by using visual object recognition techniques. They identify objects in video and images just the same way people can do so by using lots of data and peculiar algorithms.
In simple words, computer vision is an attempt to convey the human’s vision to a machine, and it’s a quite successful attempt. Computer vision functionates due to algorithms and a huge amount of data. Now data is constantly being generated so it improves computer vision approaches, and raises its accuracy for object identification.
Let’s look through the features of computer vision in more detail:
The pattern-matching tools detect the products and check all the products characteristics. It allows us to detect the product position, to inspect, to measure, and to identify.
This process includes ensuring precise assembling, counting, sign presence, quality control, and reductions of errors and defects not just after the production but directly during the process itself.
This step defines an injection of an object, its diameter, checking the part for compliance with the specified characteristics, and determining edge-to-edge measure and object shape correctness.
4. Identification provides reading of printed codes and marks
Among the various industries, manufacturing is one of the first that started to use computer vision in practice. In this article, we will consider intriguing computer vision use cases in manufacturing, describe their benefits, and talk about problems computer vision solves and why you need to think about the implementation of cutting-edge technologies in your business solutions already.
What Problems Can Be Solved with the Help of Computer Vision
Computer vision in manufacturing plays an essential role. Thanks to the development of the latest technologies and their implementation into various areas of life, we can observe a new modern approach, when automation has reached a level where the workflow can be carried out faster and better and also can be regulated without failures.
The progressive approaches in the production industry mean that enterprises encounter a range of tasks to deal with. Computer vision in manufacturing applies for:
- automation of production processes
- brand protection
- increasing the production quality level
- enlarging the productivity
- decreasing the amount of waste
- reducing the operational costs
- inefficient manual labor substitution
- minimizing return risks
CV provides a smart approach to the production process. The task of a “smart machine” is to help people, to make complicated processes easier, and to make the work process more smooth, without loss and halting.
Computer vision in manufacturing is used to optimize and enhance the efficiency of business processes. It uses data from different sources, collects them, evaluates and regulates all the processes of production. Let’s check what problems can be solved with the help of computer vision techniques.
Object and people detection
It is an option that helps to detect objects, humans and count them. It can be used in industrial processes, for example for sorting, packaging, or inventory regulation.
It allows dividing the digital image into segments in order to simplify the analysis of algorithms. Image segmentation helps to reach more accuracy and detect defects. Can be used in the textile industry for the automated fiber placement process.
It is reproduced with the help of algorithms that sort out many objects into the classes. With the help of neural network methods, objects are determined and correlated to a specific class.
This option is practiced among the projects of GBKSOFT. Our software engineers successfully released the image classification option in its IDmypic app. It’s the ultimate information, learning, and online shopping tool that provides information on any given subject, using your photo. IDmypic uses the latest AI technology and CV-powered image recognition. The app works with clothes, shoes, plants, animals, and even housewares. Just take a photo and IDmypic will find it! If you are interested in the development of such a type of app, just let us know and our experts will offer the best solution for you.
It’s a method of identifying a person by his/her face. Face recognition is a kind of biometric security approach and a great way to guarantee protection for corporate businesses.
Tracking moving objects in real time
Object tracking is carried out by 2D (tracking of flat objects) or 3D model (tracking according to its space location). It can be used in manufacturing during the assembly or item packaging.
Optical character recognition
It is the transformation of images containing handwritten or printed text into the code sequence to be used in a text editor. It is used in food and beverage where the manufacturer can track the process from the raw material stage to the packaged product.
This is a method of using neural networks images for recognition. Images are taken, the algorithm defines the pixel values and gives information about the image. It is used for the acceleration of image recognition.
The possibilities of computer vision for businesses are endless. Some industries have been using the privileges of computer vision and others are still waiting for the modernization of the production process. The pandemic period showed us that it’s so relevant to implement this technology into your operation systems now! Optimizing your business seems unclear and complicated but it won’t be so if you trust the knowledgeable experts.
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Computer Vision Use Cases in Manufacturing
Industry 4.0 (the Fourth Industrial Revolution) is a trend now which combines machine learning, automation, data, and digital technologies and is recognized as a smart manufacturing.
Computer vision is a technological break-in in the industry world. It appeared as a result of the automation processes, their regulations. It helps to recognize defects in the production, to prevent them and it leads the production to the next level.
So check the list of computer vision use cases in manufacturing:
Real Benefits of Using CV
Due to the multifunctionality of CV, nowadays enterprises are very interested in implementing computer vision techniques. So what attracts investors all around the world to keep an eye on artificial intelligence and computer vision in particular? Let’s get a closer look.
- Human detection and counting. By using well-arranged algorithms, the CV devices detect people and count them as they were detected.
- Immediate notification about any interruption or contravention or any emergency case.
- 24/7 operability. While human resources are limited, computer vision tools can work without stops or failures. It increases the speed and efficiency of work.
- Cost reduction and higher productivity. By reducing the number of manual operations and performing work with the help of CV, productivity grows and the enterprise gets an opportunity to save costs. There is no need for long and routine work. Workers have the opportunity to develop and control the work of computers and robots.
- Reduce the risks or dangerous situations at the working places. Computer vision programs monitor the presence or absence of the employees’ protective equipment and inform about that.
- Social distance. It became relevant in the pandemic period. Companies use distance detectors. CV programs detect a people’s location and the acceptable distance between people.
- Waste management. Up-to-date computer vision technologies allow to solve the global problem of waste. Program monitors objects, recognizes waste and sorts the waste automatically to specific bins and trucks that help to optimize the process of recycling and waste management.
Computer vision integration: tools and libraries
Computer vision tools are the software algorithms, it’s a basic part of any video app or program. With the help of CV tools, objects can be detected, defined, selected, and measured. They analyze a specific set of pixels in a given area, graphically display the analysis process and provide data for making decisions.
Let’s look through the list of libraries and tools which are used for computer vision techniques.
TensorFlow is a Python library for fast numerical coding that can be applied in research, development, and in production systems. It can train and run deep neural networks, image recognition, digit classification, and so on.
PyTorch is an open-source computing tool for Python which is used for Deep Learning applications. It is quite a famous Machine learning platform, used for numerical operations.
Computer vision integration is not a simple process, it’s a quite challenging task. Software developers write a basic software package for machine vision cameras, and then the data is configured during testing at a specific enterprise. If you’d like to perform CV integration, you should hire a team of experienced software developers, who are experts in this technology.
For example, let’s consider the GBKSOFT team who had CV projects on its portfolio and while developing them, mastered all the necessary tools and libraries. At GBKSOFT, our software engineers were involved in the development of several projects including IDmypic (which was described a bit earlier), and Drophook powered by AI technology. Let’s take a closer look at Drophook now.
Drophook became an important app for fishers, providing necessary CV-powered tools for fish measuring. In a few steps, you can take a photo of a fish, fit it with a measuring block and see the approximate length of the fish. The app contains information on the number of fish caught, it displays information on the type of the fish, its weight, date, and time when the catch was logged in. Take a look at a pic:
GBKSOFT software solutions are developed mainly in Python. It’s a basic coding language that by using various frameworks, libraries, and tools, delivers complex algorithms. IT engineers at GBKSOFT can use a wide range of computing platforms in their work:
- OpenCV (NumPy based)
- Jupiter platform
GBKSOFT can become your trusted partner in the process of digitization and automation of your business. Our professional software engineers have experience in developing computer vision software. Providing solutions for commerce, industrial, manufacturing, construction companies, and other businesses, we developed projects related to face and image recognition.
While developing each project, we take special care of the software security. We strictly follow industrial standards and compliances, preserve security controls, and while coding, pay attention to encryption, and perform both kinds of testing – manual and automated.
Our clients are the highest priority for us and we focus on long-term relationships. We always try to give more than expected by:
- full involvement and dedication
- advanced project management
- transparent process of work and regular reports
- free consultation and efficient communication.
We are ready to transform your business and help you optimize processes in your company.
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GBKSOFT can become your reliable partner
Computer vision in manufacturing industry promotes fast and widespread modernization and helps to achieve cost reduction while increasing productivity and accuracy of all systems work. The implementation of CV into your business is determined by the approach and the partner you choose. It is a serious task that requires expertise, dedication, and understanding of all the relevant tech trends.
If you need a reliable technical partner to optimize your business processes, to involve computer vision in manufacturing or any other industry, GBKSOFT can be the right one for you!
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