La Visió per Computador a la indústria alimentària i del packaging. David Rotger

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1 La Visió per Computador a la indústria alimentària i del packaging David Rotger rotger@cvc.uab.cat

2 What is Computer Vision? Computer vision is the science and technology of machines that see. As a scientific discipline, computer vision is concerned with the theory for building artificial systems that obtain information from images. As a technological discipline, computer vision seeks to apply the theories and models of computer vision to the construction of computer vision systems. Computer Vision is a horizontal technology that can be applied to many areas of human activity. The limit to the open opportunities is only in our imagination.

3 Human Vision vs Computer Vision

4 The Computer Vision Center CVC is a non-profit institution founded in 1995 as a Consortium formed by the Generalitat de Catalunya and the Universitat Autònoma de Barcelona (UAB). 2000m 2 devoted to R&D on Computer Vision. More than 130 researchers and technicians. The most advanced resources in Computer Vision hardware and software. 4

5 The CVC in the UAB Research Park (PRUAB) and the UAB30 initiative CVC

6 Main Activities R&D Lines Advanced Driver Assistance System Medical Imaging Laboratory Visual Object Recognition Document Analysis Image Sequence Evaluation Colour in Context (Texture) Mobile Robot Vision Machine Vision Visualization and modeling Technological Transfer & Consultancy Contracts Spin-offs Education & Training Master Program (UAB & IIIA) PhD Program (UAB) 6

7 Automatic Classification of Products: Fruit Vision system that allows control of fruit quality by analyzing the size, color, distribution, etc. Using a camera system to calculate the extent of each piece of fruit and analyze the color that it presents and how is it distributed. The system automatically classifies the piece of fruit in the most appropriate category. The definition of the categories is done through the presentation of examples to the system

8 Packaging Verification and Inspection Vision system to automatically detect absence or presence of correct, broken or defective packaging. Images are acquired at the entrance of the production chain to prevent the entry of these defective containers, thus avoiding problems of line stoppage.

9 Pick and Place Machines Guidance Vision system to guide pick and place robotic arms taking into account high speed product lines, their random position and their 3D orientation The system computes the position of each element on the conveyor belt leading with touching objects, difficult 3D positions and high speed belts, to guide a robotic arm with high precision and speed to correctly pick the desired object.

10 Contaminant Detection in Closed Packages Vision system to automatically detect contaminants in closed packages using X-Ray systems. Using a computer vision control system provided with X-Ray imaging technology we can detect contaminants inside packages and products.

11 Pallets control Computer Vision System to automatically detect and inventory the content on pallets. With the use of a computer vision system can make a fast detection and inventory of the visible contents of a pallet

12 Quality Control of Transparent Containers Computer Vision System to automatically detect the presence of contaminants in bottles or other transparent containers. Using a computer vision system we can automatically detect the presence of contaminants, like organic material such as cork, glass, hair, insects, etc., inside transparent containers, like glass bottles.

13 Needle and Thread Detection System to detect the presence of material (needle, thread) and to verify its correct position within the package. Group: MV Client: B/Braun

14 Thermoforms Inspection Vision system for 3D shape verification and detection of holes and scratches in the surface of transparent and translucent thermoforms. Group: MV Client: Micro Natural / CDTI

15 Lighter Print Inspection Vision system capable of finding imperfections in the silkscreen printing on lighters. Group: MV Client: Flamagas / CDTI System to find printing imperfections on lighters, e.g. total or partial lack of a color, ink displacement, incorrect color, scratches, etc.

16 Inspection of Pills in Blister Packaging System based on computer vision for inspection and automatic detection of the absence and misplacement of pills in blisters in the pharmaceutical industry. Group: OR Client: Lilly Absence Misplaced

17 Study: Quality Control System for Fruit Vision system that allows control of fruit quality by analyzing the size, color, distribution, etc. Group: MV Client: Caustier-Fruita 100 mm 100 mm 100 mm 100 mm 100 mm 100 mm Speed of the conveyor belt: 1,5 m/s Vision area: 600 x 400 mm

18 Dr. David Rotger Responsable de Transferència de Tecnologia i Valorització rotger@cvc.uab.cat Edifici O, Campus UAB Bellaterra (Barcelona)