Product process optimization by means of a system for visual quality control - VQC Industry.
using good and
up to 7000 checks
The possibility of detecting problems and triggering alarms with no delay.
Production is carried out with surface control, object recognition, component detection, and part identification.
Deep learning with regard to the production line is based on
teaching machines and devices involved to perform an activity people find instinctive – learning by example. Multilevel neural networks let visual solutions emulate human behavior when solving a problem, such as counting elements or verifying component quality. This way the systems become capable of recognizing images, noticing trends, and “understanding” subtle differences between proper and defective objects.
A constantly self-improving system recognizes elements it was taught to perceive as faults and gives a warning in real time. Using cloud technology and Google’s BigQuery data warehouse, it is possible to process huge amounts of various data at once.
Reports and dashboards are generated based on up-to-date data as it is collected in real time. You are given information on all anomalies and unusual behavior the system detects, a perfect solution for management personnel of all large distribution chains or multi-department companies.
We analyse your production process, verify areas to improve or optimise, and estimate potential savings the system implementation will bring.
You receive the project outline drafting the effect of the implementation on your production process.
We build a model of a neural network in accordance with your project’s specifications. We conduct the model’s training based on trial quality tests.
We install an analytics VQC Station and data processing devices. Installation does not interfere with production processes, nor does it impair the interiors’ design.
We support you throughout the solution’s implementation and usage.
The system uses technologies such as visual computing, deep learning, and artificial intelligence. It is highly useful in many fields such as manufacturing, logistics, and distribution.
Dedicated IoT solutions or adaptations for existing systems or projects.
Unlimited scalability, data analysis, and device control.
Smart stock monitoring and management.
Automatic measurement of items.
Detecting trends and signaling predefined occurrences, such as running out of stock or failure to return items.
Monitoring operating parameters of construction machinery (such as analyzing trends, detecting anomalies, indicating sub-optimal usage, and providing the current fuel level).
VQC Industry performs various types of visual quality control.
VQC Industry adapts quality control to production changes.
Artificial intelligence performs much better than people in detecting defects.
Up to 7000 checks every hour – even fast production lines can be controlled constantly.
VQC Industry increases quality, which influences the pricing, as a result improving the market position. The system cooperates with the existing production line and integrates itself with the with the end-to-end quality assurance or Industry 4.0 for clients, to allow the highest possible ROI.
The solution works perfectly with quality control and production management systems used at the site, so there is no need to change them – the system integrates seamlessly with the working environment and can be seen as its upgrade.
Thanks to cloud solutions used within the system, it can be scaled according to actual needs, such as the current number or size of production lines, with no limitations.
The system eliminates the problem of human errors and subjectivity in quality control and verification.
With us, possibilities are unlimited.