Surface Inspection

Use Cases

Detection of Visual Defects

FotoNow inspects parts for visual faults, i.e. scratches, blowholes, color irregularities, etc. Our AI-powered solution detects all faults in the vision field of the camera. Multiple defects can be found and displayed at the same time.

Fault Ispection on Castings

Industry: Industrial control and automation

Problem: The product of our customer contains metal parts. During the solidification of liquid steel for the production of these parts, the formation of blowholes is possible. The existing solutions cannot provide automated detection of blowholes. Therefore, the quality control of the metal parts is executed only after the assembly of the entire product through a functionality test.

Solution: FotoNow was installed on a smartphone and placed into the assembly line. Due to the enhanced image inspection technology, our solution could precisely observe the metal surface despite light reflection. FotoNow was able to accurately detect even tiny blowholes from images taken on the smartphone.

Results: Due to the detection of blowholes at the early stage of production, faulty parts were excluded from the further assembly process. In this way, the defect-free parts’ waste was reduced, and this, in turn, diminished the production costs for the company.

Rework Reduction in Taillight Production

Industry: Automotive

Problem: In the production of taillights, it is necessary to take into account the presence of defects such as cracks and scratches as well as the correct fit. The visual inspection of the manufacturing process in the line of our customer was conducted semi-manually. A digital camera took pictures of the taillights and saved them on an SD card. The images then had to be transferred and reviewed by the employees.

Solution: With our technology installed on a smartphone, the images were taken and uploaded to the cloud fully automatically. At the same time, all images were analyzed. FotoNow could recognize the area of interest and inspect it for defects and placement. The employees received immediate feedback which enabled them to rework the defective parts instantly.

Results: First, the customer saves time and resources for image transfer and storage. Since the images are stored in the cloud and can be reviewed on any device, our solution enhances transparency and traceability of the quality inspection. Real-time error notification ensures that employees can do inline rework immediately, so the vehicles with defective taillights do not have to be steered into the rework department. This saves the customer time and costs of rework.

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