On a regular basis we organize practical workshops in the Food Pilot about novelties in food processing. For this event, we chose for a webinar about SENSORS, DATA and DATA PROCESSING. We will discuss the principles, the results of our trials and the pros and cons. We will evaluate how they can offer added value for optimizing production. It includes five lectures and three filmed demos which will be commented and discussed live with you. (In English)
We will highlight challenges in food production including hygiene, food safety and contactless quality monitoring. This involves all food sectors.
This webinar is for free. When registered you will receive a link to join the webinar.
Webinar (FREE) 23rd of June 2020 - Register here now
9:30 Welcome
9:45 Part 1. HYGIENE and STERILISATION
10:35 Coffee break
10:45 Part 2. Spectral & Machine vision technology
11:30 End
Detailed Program
9:30 Welcome by Karen Verstraete.
PART 1: HYGIENE and STERILIZATION
9:45 Detection of microbial contamination and targeted cleaning and disinfection. Koen De Reu.
Hygienic practices before and during production are important to ensure shelf life and to produce safe food. Thorough evaluations of the cleaning and disinfection and tracing of contamination sources and routes are essential.
10:00 Rapid E. coli detection: a bio-sensor in development. Marc Heyndrickx.
A new biomimetic sensor has been developed that allows a sensitive, fast and specific quantitative detection (LOD 100 cfu/ml) of E. coli in a wide range of concentrations, in both buffer and food (e.g. apple juice).
10:15 DEMO Optimizing sterilization: F0 value for translation from pilot to production. Estelle De Paepe.
The Food Pilot expanded its UHT pilot machine with intensive temperature measurement and real-life data processing. This makes it possible to determine the F0 value more accurately online, and this over the entire course of heating, holding and cooling.
10:35 - 10:45 Coffee break
PART 2: SPECTRAL (VISION)TECHNOLOGY
10:45 DEMO New sensor techniques for determining the quality of meat. Simon Cool.
Results of a small-scale measurement campaign for fast inspection of pork meat quality are shown. Correlations are studied between reference parameters (drip, intra-muscular fat, color, pH, cooking loss), NIR spectrometer data, and hyperspectral images. Live demo of a NIR sensor with meat probe (ASD Labspec 4; Inventech) and a hyperspectral camera (Specim FX10e; Spectrapartners). Study in cooperation with Ghent University (Project Vlevavlees).
11:05 DEMO Feasibility of vision inspection systems: Which camera offers a solution to my challenge? Simon Cool.
We start from a problem or question. “Can a camera be able to distinguish class X from Y? Which quality parameters can be estimated?”. For this we work step by step. We screen the visual and near infrared spectrum with hyperspectral cameras, looking for wavelengths with useful information. Based on this, commercially available cameras suitable for the application are advised. In the demo we show various cameras, the principles of data processing, and a pilot set-up of conveyor belt with camera for inline sorting.
11:30 End
Organised by
Food Pilot, ILVO, Flanders' FOOD
Supported by
VLAIO Living Lab Agrifood 4.0
Contact
karen.verstraete@ilvo.vlaanderen.be
Wanneer
Waar
Webinar
Brusselsesteenweg 370
België
Organisator