In many real-world applications, strong and dependable detection depends on sensor fusion, as single-sensor sensing may not be sufficient. The individual modality feature extraction module is part of the network design. It is fused using a merging layer and a dense layer to produce a single output for gas identification. Using the fused model, the authors were able to achieve a testing accuracy of 96%, compared to the 82% and 93% accuracy of the individual models, respectively, based on gas sensor data using LSTM and thermal representation data using CNN models. The combined use of numerous sensors and modalities yields better results than using just one sensor. Since most of the gases and their vapors are tasteless, odorless, and colorless, they interfere with our ability to perceive things normally.
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The growing frequency of incidents resulting from gas leaks in coal mines, chemical plants, residential appliances, etc., is one such area of worry. In this work, we provide a unique method that uses multimodal AI fusion approaches to identify and detect gaseous emissions. Since most of the gases and their vapors are tasteless, odorless, and colorless, they interfere with our ability to perceive things normally (Bao, W.; et.al., 2017). In many real-world applications, strong and dependable detection depends on sensor fusion, as single-sensor sensing may not be sufficient. The individual modality feature extraction module is part of the network design. It is fused using a merging layer and a dense layer to produce a single output for gas identification. Using the fused model, we were able to achieve a testing accuracy of 96%, compared to the 82% and 93% accuracy of the individual models, respectively, base on Gas Sensor data using LSTM and thermal representation data using CNN models (Han, L.; et.al, 2019). The combined use of numerous sensors and modalities yields better results than using just one sensor, as the results show.
The application of novel engineering technologies and methodologies to the resolution of social and industrial issues is referred to as engineering innovation (Awang, Z., 2014). The usage of chemicals has increased along with industrialization and the closing of socioeconomic gaps between social classes. The field of technology known as “assistive technology” is made up of devices with hardware, software, or both that are intended to preserve and improve human capacities in circumstances that call for extra care. Assistive technology offers a variety of options, from surveillance applications utilizing unmanned vehicles to healthcare application like as automatic wheelchairs and position estimations (Rumelhart, D.E.; et.al, 1986). In this study, we offer an assistive technology solution for the highly pertinent issue of gas identification and detection in outdoor, indoor, and commercial settings.
Environmental harm from chemicals or radioactivity can result from industrial hazards. Gas leaks are a frequent problem as a result of the industrialization and automated chemical facilities that are developing so quickly (Majeed, A.2019). Among the effects of industrial mishaps include waste emissions, leaks, fires, explosions, and spills. The main causes of fume leaks are reckless trash disposal and domestic cooking, which produce needless fumes. According to a media story, 326,000 of the 645,000 untimely fatalities from open-air air pollution-roughly 50% of all deaths from open-air pollution-were caused by burning wood, biomass, and dung.When handled carelessly or insufficiently, hazardous gases like propane, packed together natural gas (CNG), fluid petroleum gas (LPG), methane, and other flammable and toxic gases can cause mishaps and, in certain situations, disastrous outcomes (Wang, T.; et.al, 2018). Unintentional cracks, holes, or porosities in joints or equipment that prevent the passage of various fluids and gases and permit the flee of a closed medium are known as gas leaks.Before a device is put up in any place in the ground or industrial setup, a gas escape test is a necessary quality control procedure. Gas sensors are installed close to the equipment that is susceptible to leaks as a preventative measure. In a diverse gas surroundings, the sensors cannot identify gas, nevertheless. Additionally, sensors are constrained by and susceptible to their operational parameters.