The document describes a project in which an IoT-based monitoring system is developed to track fish behavior in an aquarium, utilizing Kafka for data processing. It includes the use of an ESP-Eye v2.1 hardware for monitoring and a YOLOv5s model for fish identification, hosted on Roboflow. The author, a software engineer, shares details about their background and the technology stack involved in the project.

1. Fish Plays Pokemon
Using IoT and Kafka to Monitor an
Aquarium Environment and Gamify Fish Behaviour
Shritesh Jamulkar
Software Engineer @THG

2. What We built...
IoT based monitoring
Cloud Processing - identify fish
and monitor
Alerts owner
Fish positioning used to play
game

3. YouTube: https://www.youtube.com/watch?v=48-qOC4fCdk

4. Architecture

5. Hardware
ESP-EYE v2.1
ESP32
Power mb
2 kits
9V Battery
Power mb v2

6. Frames Processing:
Yolov5s model used.
Trained on several hundred images -
bounding boxes.
Created Weights file.
Hosted on Roboflow
Roboflow API called
ROBOFLOW
Lambda function triggered
1
2
3
AWS CLOUD

11. About me...
Software Engineer @Thehutgroup, Manchester UK 🇬🇧
Master's in Computer Science - Future Networked Systems from
Trinity College, Dublin, Ireland 🇮🇪.
Previously, Software Engineer @Samsung Research, Banglore,
India 🇮🇳
Hyperledger Mentorship Program 2021 - Mentee, Open-Source 🌐
Bachelor's in Computer Science from NIT Raipur, India 🇮🇳

12. THANK YOU