Computer Vision for Quality Control
Logistics company
AGV development
The challenge!
It is crucial to detect quality defects! It is often crucial to preventing customer dissatisfaction or even damage to a production line.
To ensure a high-quality standard, constant control is today in place, unfortunately often purely manual.
Therefore, our approach is to use computer vision for quality control inspections to support the operator’s work, both in manual assembly operations as well as in fully automatic mode.
Surface imperfections and foreign bodies
Nowadays, in the production of objects, some irregularities can be tolerated, and others must be detected.
For example, shipping material with surface imperfections will cause customer dissatisfaction. Or, transporting foreign objects to a machine can easily cause serious damage to the machine.
Applications
In conclusion, computer vision is mostly used in the following applications:
- Quality control (detection of material defects, identification of machining defects, measurement of tolerances, weld quality, wire thickness, etc.)
- Identification of components as well as counting and sorting of objects (e.g. number of nuts, screws, cubes, number of pins on the dashboard or microchip)
- Image analysis from camera systems or object detection and anomaly detection
- Control of robotic systems
- Production process monitoring and diagnostics
- Color identification (sort by color, check print quality)
- Reading and verification of codes (QR, EAN …)
- Assembly control
Low cost
The development of inexpensive computer vision solutions, but high performing, for small businesses and light industry, allow for almost unlimited applications.
Less complaints
Customers know exactly what they are buying, thanks to detailed reports.
Higher product quality
Fewer defects equal a superior product, with a consequent advantage over the competition.
In real time
A real-time analysis means faster action when a defect is identified and consequently less product loss.
Lean Manufacturing
The computer vision allows to obtain a lean production, that is to say a production process that eliminates waste without any reduction in productivity.