Tyre & Wheel Verification Systems Launched
With mandatory requirements to record tyre information and an every increasing range of wheel styles used in the automotive sector, OST vision systems allow tyre manufacturers, wheel suppliers, automotive manufacturers and logistical support providers, to verify crucial information such as DOT codes and ensure the correct tyre is fitted on the correct style of wheel.
DOT Code Reading
Reading black text on a black background is extremely difficult using conventional imaging systems. To overcome this problem OST has developed a high speed 3D scanning solution.
A radial scan of tyre sidewall is made using a high speed camera and a laser light source, allowing a 3D profile to be constructed. The information is converted into a greyscale image, where the shade of each pixel represents the height of the tyres surface. Filtering allows the natural curve of the tyre to be removed and the text to be easily analysed.
The DOT code, or any other region of interest, is located and the text read.
Wheel Type Verification
A traditional area vision camera, coupled to a suitable illumination system allows the wheel style and size to be verified by automatically identifying the spoke pattern (or other features) and measuring the diameter of the rim
Bar Code Reading
Depending on the specific application, either a greyscale camera or a barcode reader can be included to read suppliers barcodes or matrix codes.
Wheel location
Location of the centre of the wheel and bolt/stud holes is easily achieved by the greyscale camera system allowing fast and accurate location for pick & place or wheel fitting robots
Wheel Manipulation / Handling
OST can provide vision system to be incorporated into existing installations or, working in conjunction with integration partners, complete handling systems.
The results from all the check are sent to a PLC or computer network via Ethernet or a bus network system (Device Net, Profi Bus, etc.)
The technology provides Fast, accurate 100% inspection of safety critical features
November 2007 |