Projects

For the high-volume production of touch displays, current trends are clearly pointing in the direction of hybrid bonding. This combines the advantages of solid and liquid bonding to permanently connect glass and display. To ensure that the alignment of the individual components is precise, senswork offers high-precision camera systems for determining the correct position and rotation.

Applications in the semiconductor industry require both high-precision, leading-edge technologies and reliable performance characteristics in cleanroom and control test environments. One of the largest manufacturers of semiconductor device handling systems relies on a specially developed VisionUnit from senswork to ensure chip positioning for very small chip sizes with extremely small dimensions.

Fakra connectors are used in automotive electronics for the transmission of signal data such as GSM, GPS or camera data. In order to meet the high quality requirements even in the fully automated production of high volumes, a leading supplier of these products relies on senswork‘s inspection technologies.

Plug connections are essential in electrical engineering. Whether in the smartphone, in the car or in production facilities, they ensure that data or electricity flow from A to B. For this to work flawlessly, the connector pins must fit perfectly on the circuit board. With the virtual connector gauge from senswork, the smallest deviations can be detected before damage occurs.

When individual components of a multitool cutting tool are fed in, the senswork camera system detects the position and rotation in a flexfeeder feed. Pick candidates are automatically recognized on the Flexfeeder surface on the basis of differently illuminated individual images and the position data is transmitted to the robot. The standard system has been expanded to include additional dark field lighting for reliable detection of the flipped position of all components.

For the automatic joining process of display assemblies with a so-called metal carrier, a total of 6 camera units from senswork support the robot in aligning the components with one another. This is made possible by a unique prism module, which guarantees a precise view in two directions for each camera. This makes it possible to compare the reference point of a display with that of the metal carrier in a camera image.

For a follow-up process in the production of airbag assemblies, it is important to fully automatically recognize bore features on a wide variety of component types and to pass the positions on to a robot. Through an intelligent combination of dark field lighting and senswork circle detection algorithms, this process is 100% supported in production.

A robot performs mechanical post-processing on cast parts fully automatically. To do this, the robot must know the rotational position of the component to within a few tenths of a degree before the machining process. Only through a specially developed dark field lighting with a correspondingly large diameter could the relevant features for detection be reliably mapped. A Cognex In-Sight smart camera system then determines the rotational position using an edge-based pattern search and forwards this to the robot controller.

In this system, Euro pallets are fed via a roller conveyor belt to a robot system, which automatically removes the sack layers and places them on a longitudinal conveyor belt. Using a time of flight camera from senswork, the positions of the plastic bags are recognized fully automatically and transferred to the robot coordinate system. The detection accuracy of the system is ± 10 mm, and thus allows precise pick-up by the suction gripper mounted on the robot.

The supplied parts are removed from the supply line by a Scara robot and placed in a moving tray. Our camera technology controls the rotational position of the parts in the feeder, the position of the tray and the correct placement of the products in the tray.

Chocolate is difficult to describe completely with a rule-based algorithm, since no two chocolates are identical. The individual chocolates have a high natural range of variation.

The individual elements of a first aid kit must be identified through a transparent packaging. Since the packaging reflects light, the individual components of the packaging are difficult to recognize. ViDi Check inspects the complete first aid kit and determines whether all trained features are present.

Badly positioned, incorrect or bent components on a populated circuit board are difficult to detect with conventional image processing. Using Deep learning, classification and defect detection is much more reliable, even with a low even with a small amount of training data.

Before spark plugs are packed, they are inspected for completeness per layer. The space situation only permits the use of wide-angle optics, which leads to a strong distortion of the perspective. In this case, classic pattern searches can already reach their recognition limits. Using Deep Learning, however, the the inspection works very reliably.