A CMOS Fish Spoilage Detector for IoT Applications of Fish Markets.(Trans Jan 2018)
To design a Quality measurement system to predict the spoilage of Fishes in the wholesale market for Exporting. .
In the existing system, proposes a novel CMOS-based fish spoilage detector for IoT applications in fish markets. The existing analog processing circuits were successfully applied to determine the freshness of swordfish. The proposed method is a low-cost and easy-to-use alternative for housewives or IoT devices for fish markets. On the basis of 0.35-µm 2P4M CMOS technology with device parameters such as a 3.3-V power supply, all the functions and performance levels of the proposed CMOS fish spoilage detector were successfully tested and validated through measurements.
In the proposed System, MATLAB based image processing is involved, neural network is used here to analyze the data for better export quality maintenance. We also plan for a embedded based mechatronics setup in which the good quality fish and Bad quality fish is separated in a conveyor..