Development Of A Fish Species Automated Detection System - 2021 Final Year Project Research Topics And Materials

Development of a Fish species automated detection system

3,000.003,100.00 (-3%)

In stock

Spread the love
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
2 / 100

Abstract The fish species automatic detection system is a system that can detect, at the same time distinguishes the various species of fishes using images. The system offers a comprehensive knowledge in detecting, recognizing and distinguishing the species of fish by first storing the images of fishes in the database, make the system to have a compatibility of receiving the image from your computer and then compare it with the existing images in the database, if match appear with the one of the images in the database, the system will also provide a sub-menu to the user to add the fish with its descriptions. Method used are primary and secondary method. The result/findings of this research work says that the fish species detection system was presented to different users with the intent of finding errors and observing weather it behaves as expected. The system was also tested to see whether it was capturing invalid data, this was done by putting wrong  data and then the system responded by alert message displaying the type of error. Testing and validation was done successfully. The system also has a room to make some modifications or corrections in the database, in terms of the data, the images of the fishes, to delete the database of specific fish or the entire database in general. This program is been developed using MYSQL and Java programming language for it user friendly. 

Our Score
Click to rate this post!
[Total: 0 Average: 0]
0/5 (0 Reviews)
Be the first to review “Development of a Fish species automated detection system”

Reviews

There are no reviews yet.

Main Menu

Development of a Fish species automated detection system

3,000.003,100.00 (-3%)

Add to Cart
[]
{"cart_token":"","hash":"","cart_data":""}