Figure 1
From: Deep learning for the quality control of thermoforming food packages
A schema of the main components of the proposed computer vision system (highlighted in bold) with some views of the real scenario. The cameras are placed between the tray sealer and cutting machinery; a servo and an encoder, connected to a Programmable Logic Controller (PLC), control the speed of food packages movement, the position of the products, and when the reject system has to act. Monochrome line scan Camera 1 and Camera 2 are triggered with different exposure times to acquire images for the sealing test. Camera 3 acquires images for the serigraphy and traceability tests. Then, the acquired images are processed to determine how the reject system has to proceed.
