Machine Learning Smoke Detection in Forests
Budget: ₹1,500 – ₹12,500 INR
I'm seeking a skilled professional to develop an efficient smoke detection system using machine learning. The primary objective of this project is environmental monitoring, specifically for smoke in forested areas. The system should be implemented on real-time edge AI devices such as Raspberry Pi, Jetson Nano, etc.
Key Responsibilities:
- Develop a supervised learning-based smoke detection system.
- Implement the system on edge AI devices for real-time monitoring.
- Ensure the system is efficient for use in forested environments.
Ideal Skills:
- Proficiency in machine learning, particularly supervised learning.
- Experience with edge AI devices (Raspberry Pi, Jetson Nano).
- Background in environmental monitoring systems.
- Strong programming and problem-solving skills.
This project is vital for improving our capabilities in monitoring and detecting smoke in forests, aiding in environmental preservation and safety.
I have used Yolov8 till now for fire detection using a dataset but for smoke my testing is failing
Key Responsibilities:
- Develop a supervised learning-based smoke detection system.
- Implement the system on edge AI devices for real-time monitoring.
- Ensure the system is efficient for use in forested environments.
Ideal Skills:
- Proficiency in machine learning, particularly supervised learning.
- Experience with edge AI devices (Raspberry Pi, Jetson Nano).
- Background in environmental monitoring systems.
- Strong programming and problem-solving skills.
This project is vital for improving our capabilities in monitoring and detecting smoke in forests, aiding in environmental preservation and safety.
I have used Yolov8 till now for fire detection using a dataset but for smoke my testing is failing