Abstract:
L'invention concerne une machine de mesure et de tri de rivets (9) comprenant: un réservoir (5) d'alimentation des rivets (9) à trier, une pluralité de bacs (11, 21, 31) de réception des rivets triés, un dispositif de convoyage (6, 7) des rivets à trier, des moyens optiques (13, 14, 23, 24, 33, 34, 50) d'acquisition d'images de chaque rivet (9) à trier, une unité (8) de traitement des images configurée pour fournir au moins une mesure d'au moins une caractéristique structurelle de chaque rivet à trier, des moyens de distribution (15, 25, 35) de chaque rivet vers un bac de réception choisi en fonction d'au moins une mesure d'au moins une caractéristique structurelle de cette pièce fournie par ladite unité (8) de traitement, chaque bac de réception étant associé à une gamme prédéterminée de valeurs d'au moins une caractéristique structurelle de tri des rivets.
Abstract:
A method (MC) for classifying buttons (A) comprises an automatic learning phase (B) for the classification of a sample population of buttons (A). The learning (B) comprises: acquiring (AI) an image (I) of each button (A) and defining an area (AR) in each image (I); making a first colorimetric quantification (Ql) of each image (I) and identifying a respective first plurality of colours (CI); determining a first representation (Rl) of each button (A) on the base of the first quantification (Ql); making a second colorimetric quantification (Q2) of a summary representation (Rr) by identifying a second plurality of colours (C2); determining a second representation (R2) of every button (A) on the base of the second quantification (Q2); grouping (C) the buttons (A) on the base of the second representation (R2) to obtain a plurality of models representing (Mr) the sample population of buttons (A).
Abstract:
High-speed, triangulation-based, 3-D method and system for inspecting manufactured parts and sorting the inspection parts are provided. A plurality of angularly-spaced, triangulation-based, sensor heads are located at an imaging station to simultaneously deliver focused lines of radiation onto a plurality of exterior side surfaces of the part during motion of the part relative to the focused lines to obtain corresponding arrays of reflected lines of radiation. The sensor heads simultaneously sense their corresponding arrays of reflected lines to obtain corresponding sets of 2-D profile signals. Each set of profile signals represent a 3-D view of one of the exterior side surfaces and the sets of 2-D profile signals represent a 360 panoramic composite 3-D view of the outer peripheral surface of the part.
Abstract:
Disclosed herein is a metal sorting device including an X-ray tube (15), a dual energy detector array (4), a microprocessor (12), and an air ejector array (5). The device senses the presence of samples in the x-ray sensing regio and initiates identifying and sorting the samples (3). After identifying and classifying the category of a sample, at a speci time, the device activates an array of air ejectors located at specific positions in order to place the sample (3) in the prop collection bin (8 and 10).
Abstract:
Disclosed herein is a metal sorting device including an X-ray tube, a dual energy detector array, a microprocessor, and an air ejector array. The device senses the presence of samples in the X-ray sensing region and initiates identifying and sorting the samples. After identifying and classifying the category of a sample, at a specific time, the device activates an array of air ejectors located at specific positions in order to place the sample in the proper collection bin.