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DeutschWe implement projects to integrate vision systems for quality control
Vision systems are used for qualitative and quantitative inspections of manufactured products. Thanks to them, we can constantly monitor the process and make appropriate corrections. Such solutions allow us to reduce the risk of passing a defective product and being exposed to customer complaints.
We also use these systems as eyes for robots. Thanks to this, we add flexibility to robotic applications in determining the trajectory to reach the detail by determining its exact position.
We will select the appropriate configuration of the vision system for you. We implement projects related to the selection of machine vision solutions, programming and their integration.
100% of the machine vision applications we have implemented meet the design assumptions.
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using machinery vision
systems
*Depending on the complexity of the application
Sample problems for machine vision
- Detection of defects, inclusions, scratches, damage and burns on materials
- Recognition of assembly errors
- Detection of incorrect material application
- 360° inspection of cylindrical objects
- Verification of correct printing and label application
- Detection and recognition of tags, alphanumeric characters and barcodes
- Segmentation, detection, classification and counting of objects
- Measurement of thickness, width, height
- Control of shape, spacing, surface angle and differences in levels
- Calculation of internal and external diameters of cylindrical objects
- Checking shifts, deviations and bends in the detail
- Verification of overlapping layers
- Inspection of surface curvature and unevenness
- Material vibration detection
Improve quality
Do you receive numerous complaints related to product defects? Do you want to eliminate damaged items from your series? Or maybe you want to check for component deficiencies? You can achieve this and much more using optical measurement systems and image processing technologies. Add "eyes" to your process, control the product and react to production errors. Control your metrics with clear presentation of inspection results. This will reduce the costs associated with handling complaints and ensure the image of a reliable supplier.
Test before you implement!
You don't believe in the correct operation of vision systems? Have you had bad experiences with such systems? Therefore, we believe that application tests are required before each implementation of the design of such systems. Machine vision is one of the most difficult areas to automate due to its susceptibility to external factors. We perform tests in the target working environment, in accordance with the set parameters. Thanks to such tests, you will receive a guarantee from us that specific boundary requirements will be met.
Quality control automation
Reduce quality control bottlenecks. Test and verify every detail. Machine vision works in a continuous cycle together with the machine. A well-implemented vision system application can detect up to 99.9% of product defects for which it was configured. The vision system operates with consistent efficiency and provides objective quality indicators. Thanks to this, you can maintain the appropriate standard of workmanship of your product. Your QA department will receive an additional control tool. Any defects will be detected on an ongoing basis, so you will be able to take corrective actions immediately, and customers will appreciate the repeatability of the delivered products.
Profitability
Does your QA department need additional final verification tools? Wherever processes require quality control to verify the workmanship of a detail, you can use machine vision. By using vision systems for automatic product inspection, it is possible to minimize costs related to production errors. Reduce the costs associated with time-consuming organoleptic verification, and engage the freed resources in processes that provide added value. The machine vision will also allow you to reduce the costs associated with handling complaints and free up additional resources as there is no need to repeat closed orders.
Eyes for a robot
Do you need to position the robot to pick up irregular details? Downloadable details not pre-arranged? In the case of robots, a very important aspect is the location and gripping of elements whose location is not fully known. Use machine vision to determine the robot's trajectory. Vision systems help detect the location of the details to be picked, thanks to which the robot control algorithm can make appropriate corrections to the trajectory. Thanks to this, we give robots the flexibility to use it in determining the trajectory to reach the detail by determining its exact position.