Vision systems
The industrial vision system includes all applications that use cameras, intelligent sensors and software algorithms to capture real images and process them in order to provide the production line with information needed for automation or quality control. The system ensures the highest production efficiency and quality by being able to make 100% objective and repetitive visual inspection with no error margin
Tekna Automazione e Controllo can design, install and program vision systems suitable for different customer requirements, identifying the best solution between 2D, 3D, monochrome or color vision. 1D and 2D readers, matrix cameras, linear cameras, profilometers and more are the most popular options on the market for developing vision machine applications.
We use in our applications a wide range of cameras (linear, matrix, 3D and smart cameras) with different technical performances and from different manufacturers, which together with lenses, led lighting solutions, illuminators and accessories constitute the primary elements of industrial vision systems.
Vision camera
Profilometry is a technique based on the triangulation between a laser and a matrix camera which continuously acquires the laser line projected onto the surface and allows its three-dimensional reconstruction. This technology can be applied in an industrial environment for reliable detection of single objects against the background, identification by matching with 3D CAD and high-resolution detection of defects present on scanned objects.
Laser profilametry
When there is a need to read the barcode or writing imprinted on the products online, it is necessary to design the vision systems for the area to be framed. This is obtained by using special optics or by installing several vision systems that insist on the same area, coordinated by special software for the aggregation and overall image reconstruction and decoding of 1D, 2D and OCR codes.
Barcode reader and OCR online
The system uses a vision system with matrix cameras and scene backlighting systems to verify that the subassemblies that make up the gear lever are the correct ones and that they are positioned in the right direction.
Check the manual assembly of the car gear lever
Through the use of chambers, the system recognizes the rusks produced and to be discarded that do not fall within the previously set parameters.
Automatic in-line quality control system for rusks
Through a camera system that measures the size of the pre-set hooks, it is possible to verify the alignment and consistency with the desired and pre-set parameters.
Hooks dimensional verification system
Tire defects detection on tire is obtained using laser profilometry for scanning all the surfaces of the tire, inside and outside, special algorithmics to obtain the 3D reconstruction of the surfaces and sophisticated software, that use Artificial Intelligence and Neutral Network, to detect defects.
Tire defects detection inside and outside surfaces of tire
Automatic reading of characters and symbols on the surface of the tires, obtained using laser profilometry for scanning and 3D reconstruction of the surfaces, and deep OCR software for decoding the characters and pattern matching techniques for symbol verification, makes the Lettering machine a very useful tools for tire producer.
Lettering system and OCR decoding of characters and symbols on the surface of tires
Machine for checking the correct Tire and Wheel assembly, suitable for combining the First Set of Tires for car. The scanning of the Tire and the OCR of the DOT code allow to identify the tire, while the acquisition of the image of the Wheel and its classification (shapes, models and foreseen colors) allow to identify the right wheel. Laser 3D profilometry, to scan the tire, and color RGB cameras, to acquire the image of the wheel, are the technologies used on this machine.
Tire DOT code reader and test Tire and Wheel assembly
Band defects control on automatic rubber lines with the use of thickness measurement systems based on laser profilametry. The systems are designed and configured to meet specific customer needs and can be installed and integrated into existing production lines.
Band defects control on automatic rubber lines
In-line lese coupling quality check carried out by continuously acquiring the laser profile projected onto the lese with a high-resolution matrix camera, laser profilametry and measuring the thickness and alignment of the lese after joining.
Check mating quality online
Color code control on tread bands with the use of RGB cameras and management of the automatic positioning of the recipe pens.
Color code check on tread band
Detection of the presence of belts during the pneumatic assembly phase using profilers to measure the thickness and positioning of the belt on the drum.
Belt presence detection during the tire assembly phase
Quality control of the pneumatic bead assembly, carried out by in-line laser profilametry during the assembly phase of the rubber on the metal bead. The check verifies the correct joining of the two ends of the rubber part and the uniform distribution of the rubber on the circumference of the metal bead.
Bead Bundle assembly check
Tire Barcode online reading system, created with Datalogic equipment, for checking the tire loading list on trucks or in the warehouse.
Tire Barcode online reading system
Barcode and IPC Code reading system for car tires installed on belts/roller conveyors to verify the correct typology, quality, loading sequence of tires in the warehouse or on trucks in accordance with the loading list. Interfacing the system to the MES for the acquisition of the loading list and data management.
Barcode and IPC Code reading system for car tyres
The system controls the progress and speed of a welding torch using real-time 3D profile analysis to achieve a precise and robust weld as the position of the objects to be weld changes.
Welding robot guide with laser profiler
The system uses matrix cameras to acquire the subassembly assembled by the operator in each phase and to verify, with pattern matching software, if the assembled part is the correct one, comparing it with pre-stored images.