DESIGN AND IMPLEMENTATION OF A DEEP LEARNING- BASED DEVICE FOR DETECTING FISH FEEDING DESIRE AND TESTING OF THE DEVICE
This final project book contains the design and implementation of filters for accelerometers and testing of a deep learning-based fish appetite detector. The device is made up of motion sensors and a camera sensor. The motion sensor uses an accelerometer to detect changes in the water surface to det...
Saved in:
Main Author: | S D Ervandame Tarigan, Alsandi |
---|---|
Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/75257 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
DESIGN AND IMPLEMENTATION OF SOFTWARE AND ELECTRICAL HARDWARE ON DEEP-LEARNING BASED FISH APPETITE DETECTION SYSTEM
by: D'sky, Agape -
Enhancing semiconductor device characterization with deep learning-based keypoint detection
by: Elysia
Published: (2023) -
DESIGN AND IMPLEMENTATION OF MECHANICAL, INTERFACE, AND COMMUNICATION FOR SMARTFISHSENSE: A DEEP-LEARNING BASED FISH APPETITE DETECTION SYSTEM
by: Putra Masyiakh, Oktavian -
DESIGN AND IMPLEMENTATION OF IOT-BASED CONTROLLER AND USER INTERFACE FOR AMMONIA MONITORING DEVICE IN FISH POND
by: Yuliarni, Adelia -
RADAR-BASED HUMAN ACTIVITY RECOGNITION USING DEEP LEARNING AND ITS IMPLEMENTATION ON EDGE DEVICES
by: Restu Triani, Listi