Custom Software Solution for neural networks
At PNN Soft, we possess modern and leading-edge technologies and are ready to implement non-standard and customised complex technological projects using machine learning, computer vision, and artificial intelligence technologies. Our team has successfully launched a custom visual recognition solution that utilize real-time neural network models.
The purpose of the project was to design a solution for manufacturing enterprises to optimise the production of defect-free products. The solution focuses on tracking and recognising objects in conveyor production for the purpose of product quality control and production process optimisation. When building the architecture for a high-performance software solution, our specialists implemented the solution with custom trained CNN (Convolutional Neural Network) model.
Advantages of the solution for tracking and recognising objects on a conveyor belt:
❖ Improved product quality – fewer defects thanks to automatic control.
❖ Optimised production processes – reduced time spent on manual inspection and rework.
❖ Quick response to problems on the production line.
❖ Real-time data collection for analysis and management decision-making.
❖ Flexibility and adaptability of the software solution to updates.
❖ Increased productivity and reduced production costs.
Our software is based on custom trained Yolo (You Only Look Once) model. Using this model, the team implemented tasks aimed at real-time object and defects detection systems based on CNN.
The creation of neural network architecture requires developers with the appropriate qualifications in leading open source technologies and high-level programming languages. We engaged Python and C++ specialists to implement the project. We built optimised neural network models, ensuring flexibility and high performance.
| Computer Vision: | OpenCV, Ultralitics, NCNN |
| Languages: | C++, Python |
| Other: | Sensors and cameras |
A team of development and testing specialists was involved in the development process. We conducted a fundamental analysis of the company’s hardware and production processes.
The developers used effective tools and libraries to create a reliable software solution. Our team paid special attention to the security and safety aspects of the project.
Thanks to the joint efforts of the development and QA teams, we thoroughly tested the system’s performance under various conditions and loads. As a result, we achieved high performance in tracking and object recognition by the programme in conveyor production.
PNN Soft has been providing software services for over 20 years. We have experience working with large international companies and have created our own proprietary projects. Our approach combines deep technical knowledge with innovative development methods and reliable approaches to collaboration. PNN Soft’s qualified specialists have the necessary experience and knowledge to implement complex technical solutions in the field of neural learning and computer system training.
