Since the communication module is considered the main consumer of a node’s energy reserves, if the sink moves closer to the event reporting nodes, greater
The automobile industry is currently very concerned about the quality of the vehicles produced. One of the aspects in which significant progress is being made is the analysis of the quality of the car sheets [1,2]. This work is done under a collaboration between Carlos III University and PSA Peugeot and it is under a process of patent. The goal is to build an automatic classification and quantification system to detect the imperfections in sheets of the auto bodywork due to the squeezing process [3,4].Currently, this classification is done by the direct observation of the pieces, and the objective and novelty of this work is to try to do in an automatic and in a deterministic way.
The final goal is to obtain a classification that is as similar as possible to the one obtained by visual inspection.The proposed algorithm uses the gradient information of multiple profiles from a retroreflective image order to characterize the defaults in an automatic way, being the main contribution of this work. The complete system that leads to the imperfection classification from the sheet is shown in Figure 1.Figure 1.Complete process for the detection of the quality index.Image acquisition: to establish the classification, the first step is to extract the geometrical characteristics of the sheet from an image. This image is taken by a system consisting of a motorized table, a light source with an optical fiber guide, a motorized camera, and a screen.
Determination of the parameters: an algorithm has been implemented that allows Cilengitide us to extract from the images the parameters from which the geometrical properties of the sheet are determined. These parameters are related to the quality of the sheet, and the classification can be established from them.Determination of the quality classification: from the geometrical information obtained by the algorithm and the rules provided by the visual experience on the criticity of the imperfections, a criticity index is determined for that imperfection.2.?Description of the Image Acquisition SystemThe system for detecting imperfections in the sheets (Figure 2) consists of seven basic elements:A camera that captures images of the door sheets, which will be later analyzed and evaluated.
A video conversion device that converts the analog image from the camera into a digital format so it can be processed by the PC.A light source: it supports the system with the adequate brightness for taking pictures. The light is guided to the optimum position and orientation through optical fiber.A retroreflective screen that reflects the light to the sheet and to the camera.A motorized table: the sheet to be analyzed is placed over it.A shaft driver that controls the (x, y) position of the table and the z position of the camera.