MACHINE LEARNING BASED FISH MONITORING MACHINE AND METHOD THEREOF

摘要

#$%^&*AU2020102433A420201105.pdf#####ABSTRACT "MACHINE LEARNING BASED FISH MONITORING MACHINE AND METHOD THEREOF" Exemplary aspects of the present disclosure are directed towards the MACHINE LEARNING BASED FISH MONITORING MACHINE AND METHOD THEREOF consisting of ThermalCamera 101 and Camera-module 102 placed in each chute 107, Microcontroller 103, the plurality of RFID reading/writing devices 105 and plurality of RFID tags 106 implanted in fishes. The Microcontroller 103 capable of collecting both thermal and visual images and process them using trained Machine Learning Algorithms 104 to monitor, count and determine health conditions of fishes in a farm pond or cage culture. When fish enter the chute, Microcontroller 103 determines, the fish size, temperature, weight and any anomaly with the help of images and relevant Machine Learning Algorithms and data-set available. If found any abnormality, the fish is trapped in the chute and intimated to the user else updated data along with previous data with timestamp updated in RFID tags 106 and user interface.1/6 103 101 102 105 107 107 109 FIG I THERMAL IMAGING BASED FISH MONITORING MACHINE