App098 en image-processing-system-detection-markings
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This document summarizes an image processing software called ICONNECT that is used to reliably detect line markings on tires in an automated vehicle assembly process. The software analyzes camera images and uses adjustable parameters to identify markings that may differ in position, size, shape, brightness, and orientation. It displays detection results and error status on a monitor and transfers information to a PLC. The system is suitable for different rim types and sizes and can detect markings even with varying lighting conditions. ICONNECT was selected for this application due to its graphical interface that allows flexible software adaptations without direct programming.
App098 en image-processing-system-detection-markings
- 1. A98_e Modular image processing software ICONNECT Image processing system for the detection of markings In order to increase the process reliability in the final Scores are identified on the monitor differently assembly of cars it is necessary make a reliable depending on the number of fulfilled parameters differentiation between the wheel and spare wheel on (see Fig. 2). Four different markings in the output different types of vehicle once the tire has been fitted image are used for this. The result of the analysis is to the rim. For this purpose line markings are applied displayed on the PC monitor. The detection and error to the sides of the tire. They must be reliably and fully status is transferred via solid-state relay from the PC automatically detected when all components (tire, to the PLC. rim, transport belt) are optically similar (matt black) (see Fig. 1). System requirements: - Camera resolution: 768 x 567 pixel Since the line markings may differ with regard to - Detection time: >0.5 s position, size, shape, brightness, etc. within certain - Max. transport speed: 0.3 m/s tolerances, the ICONNECT software must offer these - Markings at any angular orientation factors as adjustable parameters. For the - Illumination only by incident light optimization process during setting up and for later - Different types, widths and diameters of the rims. adaptations it is also practicable if the operator is - Matchpoint and balance weight present. informed of the degree of detection through labeling - Input for trigger signal "Tire present" (light barrier). the objects found (Fig. 2). - Lighting: High frequency switched-mode fluorescent lamps. Fig. 1: Typical raw image Fig. 2: Two detected markings
- 2. Application System components: - Industrial camera EHD KamPro 02 b/w - Objective lens Cosmicar Pentax HS316A. - PC Pentium 400 MHz. - Frame grabber Hauppauge WinTV PCI. - Digital I/O Plug-In DIO24 (8255). - SSR-Rack Prime SSR-24. - Windows 95, 98 or NT4.0 operating system. - ICONNECT (graphical development system). Reasons for selecting ICONNECT: - Fastest possible realization of the software concept with high flexibility. - Software adaptations possible without problem due to the graphical user interface of ICONNECT which is simple to operate. - Parameterization without direct access to the signal graph possible (user management). Ambient conditions: Fig. 4: Dialogue box for parameterization. Temperature: 18 °C to 40 °C Strip separation (min) Strip separation (max) Line distance to center point Angle to (max) center point (max) s radiu al s diu ern Int l ra Length/width ratio (min). na ter Area (min) Ex Area (max) Brightness (min) Fig. 3: Gray scale separation against background (min). Operating principle of the detection system. Parameters of the find Marks module. MICRO-EPSILON A member of micro-epsilon group. Koenigbacher Str. 15 Tel.: 0 85 42/1 68-0 info@micro-epsilon.com Certified DIN EN ISO 9001 : 2000 94496 Ortenburg / Germany Fax: 0 85 42/1 68 90 www.micro-epsilon.com Modifications reserved Y9781098