Project Recognizing Industrial Smoke Emissions
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Updated
Jul 1, 2022
Project Recognizing Industrial Smoke Emissions
A comparative analysis of traditional classification models (specifically Logistic Regression, K-Nearest Neighbours, Support Vector Classifier, Naïve-Bayes, eXtreme Gradient Boosting and Random Forest) for Smoke Detection dataset.
Modelling code for my Smoke Detection project.
IoT-based system for real-time monitoring of temperature, air humidity, and pressure with the support of smoke detection
FANS (Fire Alarm Notification System) is a distributed fire detection and emergency notification system built for the SYSC3010 Computer Systems Development project course.
smoke and fire detector 🔥🚨
Hello everyone , the name of this mini project is "SMOKE DETECTION USING ARDUINO" which comes under IOT(Internet of Things).
Arduino-based smart home automation system or smart industry system that used a smoke sensor that can sense gas hazard gas and send feedback to the user or control room also adds a fire sensor that can sense fire in the home or industry and send message to the fire service department and save the home or office
Smoke Detection using Arduino UNO, MQ-2 sensor and Pico Buzzer.
A superset of various wildfire smoke datasets.
🎥🌲🔥 Improving wildfire smoke detection models by creating virtual fine-tuning data in Unreal Engine.
A descriptive and inferential statistical analysis from the Kaggle database on the data collected by an IoT smoke detection device. Machine learning techniques were also used to help build this smart device, increasing its accuracy.
In this project, we will develop a system that monitors the temperature, humidity, smoke leakage, current voltage, and vibration of the server room via an Arduino IoT dashboard. In addition to attempting to detect and alert for Power Failure, Fire, Smoke, etc., this system will also integrate automation at the edge level for temperature control.
Pipeline to train a multi-label smoke detection network. Code submission for the ProjectX 2020 machine learning competition.
Research Internship project under Assistant Prof. Manish Bhatt of IIT, Guwahati
Deep Learning-Based Fire Vehicle Detection and Real-Time Warning System 基於深度學習的火災車輛偵測及即時預警系統
Machine Learning in Python to assess fire risk in satellite imagery and environmental conditions.
Fire and smoke detection using spatial and temporal patterns.
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