2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS)最新文献_第3页

Visual Detection of Waste using YOLOv8 基于YOLOv8的垃圾视觉检测

2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS) Pub Date : 2023-06-14 DOI: 10.1109/ICSCSS57650.2023.10169688

Ram Bawankule, Vaishnavi Gaikwad, Indrayani Kulkarni, Shivam Kulkarni, Archana Jadhav, Nihar M. Ranjan

{"title":"Visual Detection of Waste using YOLOv8","authors":"Ram Bawankule, Vaishnavi Gaikwad, Indrayani Kulkarni, Shivam Kulkarni, Archana Jadhav, Nihar M. Ranjan","doi":"10.1109/ICSCSS57650.2023.10169688","DOIUrl":"https://doi.org/10.1109/ICSCSS57650.2023.10169688","url":null,"abstract":"With the increasing focus on environmental conservation, efficient and accurate waste classification has become a crucial task in the face of increasing urbanisation and industrialization. The challenges faced by waste management systems include pollution of water and air, the spread of diseases, inadequate infrastructure and resources, and the need for efficient waste segregation. Recent techniques proposed to address these challenges include imaging techniques, thermal analysis, and machine learning algorithms. However, these techniques have their limitations, such as specialized equipment and expertise to operate effectively, labour-intensive, posing risks to workers, and resulting in inadequate waste segregation. The proposed objective of this article is to evaluate the effectiveness of YOLOv8, the latest version of the YOLO series of object detection models, for automated waste sorting. The aim is to increase efficiency and safety in waste treatment processes by using YOLOv8 for automated waste sorting. The results demonstrate that YOLOv8 surpasses its state of art algorithms in detecting and classifying waste, making it a valuable tool for improving waste management practices.","PeriodicalId":217957,"journal":{"name":"2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132386284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

IoT based Smart Management of Bird Farm 基于物联网的鸟场智能管理

2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS) Pub Date : 2023-06-14 DOI: 10.1109/ICSCSS57650.2023.10169683

B. Gobiga, J. Jabez, R. Mary Nancy

{"title":"IoT based Smart Management of Bird Farm","authors":"B. Gobiga, J. Jabez, R. Mary Nancy","doi":"10.1109/ICSCSS57650.2023.10169683","DOIUrl":"https://doi.org/10.1109/ICSCSS57650.2023.10169683","url":null,"abstract":"Birds enrich our lives with color, song, and joy. It calms down stressed individuals of all ages. Farmers now have the profitable business option of raising birds. In India, there are about 30 million farmers raising birds. In Tamil Nadu, there are about 300,000 bird farms with approximately 2000 different species of birds. Climate change, habitat destruction, and a declining food supply are some of the factors that have an impact on bird farms. The labor-intensive upkeep of the conventional farm poses a number of difficulties connected to improper bird feed, water, bird health, and safety concerns. It takes a lot of daily, routine effort to sustain a bird farm, like constant bird watching, health monitoring, feeding, maintaining local hygiene, and other duties. Unhygienic maintenance makes birds ill, and can even lead to fatal. There can be substantial losses if a disease from one bird infects the entire farm. This scenario could cause a huge loss to the business. Therefore, it is essential to ensure the safety of birds. This can be achieved by automating the farm in response to environmental factors such as humidity, temperature, the amount of water, water quality, etc. Traditional bird farm practices in maintaining the birds’ farms are outdated and time-consuming. There are several techniques for managing individual chicken farms, each with certain drawbacks, but none have been suggested for the entire flock of birds. As a result, a method is suggested in this paper that can be used in this research to evaluate the factors that have an impact on bird health, make the necessary adjustments to keep it at its best, automate labor-intensive tasks, and reduce electricity waste, and keep the farm’s owner updated in real-time from any location.","PeriodicalId":217957,"journal":{"name":"2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128878980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Filtration and Deposition Rate of Viscose Fiber in Textile Industry 纺织工业中粘胶纤维的过滤和沉积速率

2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS) Pub Date : 2023-06-14 DOI: 10.1109/ICSCSS57650.2023.10169312

S. Janarthanan, S. Pavithra Devi, V. Satheesh, P. Ravi Varma, K. N. Baluprithviraj, M. Madhan Mohan

{"title":"Filtration and Deposition Rate of Viscose Fiber in Textile Industry","authors":"S. Janarthanan, S. Pavithra Devi, V. Satheesh, P. Ravi Varma, K. N. Baluprithviraj, M. Madhan Mohan","doi":"10.1109/ICSCSS57650.2023.10169312","DOIUrl":"https://doi.org/10.1109/ICSCSS57650.2023.10169312","url":null,"abstract":"In Textile Industry, Cotton is the essential source of processing. Nowadays, Different types of Cotton are used for clothing like viscose, rayon and so on. During processing, storage and transport of such viscose fibers makes the surrounding environment dirty by floating in air and sticking it on other objects. It majorly affects the body parts like ear, eyes, nose and mouth even though workers are wearing masks. Continuous exposure to cotton breathing could lead to various lung diseases like asthma, byssinosis, chest tightness and further can cause bronchitis. Exhaust fan does not remove the dust effectively and cannot be able to remove as much viscose which is grounded. Also, there is a possibility of increase in wastage of such type of viscose fiber which is expensive in the market. So the above constraints lead us to propose a product which will be able to reduce such viscose fiber waste and it is used to collect the floating viscose fiber by moving and collecting it using a cotton fiber filter. The accumulation of such viscose fiber is determined by either thickness or weight to provide the deposited rate at display and to reduce the wastage. The viscose suction vehicle is movable. Due to that, it can be able to collect viscose fiber more effectively and productively in all perspective environments. It can reduce the majority of the wastage of viscose fiber. The movable fiber vehicle helps to prevent inhaling viscose fiber and by drawing most of the viscose fiber to the fiber filter.","PeriodicalId":217957,"journal":{"name":"2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131680094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Survey and Analysis of Deep Learning Techniques for Bird Species Classification 鸟类物种分类的深度学习技术综述与分析

2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS) Pub Date : 2023-06-14 DOI: 10.1109/ICSCSS57650.2023.10169573

B. Sivaranjani, S. Karpagavalli

{"title":"A Survey and Analysis of Deep Learning Techniques for Bird Species Classification","authors":"B. Sivaranjani, S. Karpagavalli","doi":"10.1109/ICSCSS57650.2023.10169573","DOIUrl":"https://doi.org/10.1109/ICSCSS57650.2023.10169573","url":null,"abstract":"The ability to accurately identify the species of a bird in an image is crucial. A bird’s species identification can be accomplished using images and audios. In earlier periods, the audio of birds are utilized to possibly recognize the different species of birds. But, background noise from things like birds, insects, and the wind makes it difficult for this method to produce a reliable result. Comparatively, observer’s finds images are better than audios. Using images, people are better able to discriminate between birds. However, because of the inexperience of most bird watchers and the similarity of bird forms and backgrounds, identifying birds can be difficult. To address this, Deep Learning (DL) models have been implemented to efficiently extract features from photos collected for recognition. DL models for bird species identification provides more accuracy. The recently proposed transfer learning and spatial pyramid pooling efficiently classify bird spicies. Another recently proposed Mask-CNN based method solved few shot classifcation problem effectively. But, both of these method are suffered to distinguish the subcategory of spicies form main categories. In this article, the of bird species identification techniques are studied in brief to encourage further research in this field. First, the review is planned to investigate the DL algorithms for identifying the different bird species types. Next, the merits and demerits of every algorithms are analyzed based on its performance. Finally, potential improvements are emphasized to achieve greater efficiency in identifying the bird species.","PeriodicalId":217957,"journal":{"name":"2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127412447","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Comprehensive Study on Simultaneous Localization and Mapping (SLAM): Types, Challenges and Applications 同时定位与制图(SLAM)的综合研究:类型、挑战与应用

2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS) Pub Date : 2023-06-14 DOI: 10.1109/ICSCSS57650.2023.10169695

Aneesh Khole, Atharva Thakar, Shreyas R. Shende, Varad Karajkhede

引用次数: 0

Panoramic 3D LiDAR-based Object Detection 基于全景3D激光雷达的目标检测

2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS) Pub Date : 2023-06-14 DOI: 10.1109/ICSCSS57650.2023.10169431

Divya Kadam, Y. Rao, G. Harshitha, S. Reddy, P. R. Varma

{"title":"Panoramic 3D LiDAR-based Object Detection","authors":"Divya Kadam, Y. Rao, G. Harshitha, S. Reddy, P. R. Varma","doi":"10.1109/ICSCSS57650.2023.10169431","DOIUrl":"https://doi.org/10.1109/ICSCSS57650.2023.10169431","url":null,"abstract":"Vehicle detection systems play a crucial role in preventing accidents by providing real-time information about the location and movement of vehicles on the road. Monitoring speed is also essential for safety purposes as it enables the identification of vehicles that are exceeding speed limits or driving recklessly under current road conditions. The emergence of self-driving cars, which use a combination of artificial intelligence, algorithms, and sensors to navigate roads and make decisions without human intervention, is a rapidly advancing technology. Despite its complexity, this technology offers numerous advantages such as increased safety and reduced traffic congestion. One of the most significant benefits of self-driving cars is the potential to reduce accidents caused by human error, which is the leading cause of traffic accidents. By eliminating the need for human drivers, the risk of accidents can be significantly reduced. The frequency of car accidents is alarming, with one occurring every minute according to the National Highway Traffic Safety Administration (NHTSA). Auto insurance industry statistics indicate that every driver is likely to encounter at least four car accidents in their lifetime. Inexperienced drivers, particularly those aged 16 to 20, are at a higher risk of being involved in accidents. Annually, approximately 37,000 people die in car accidents, with one fatal accident occurring every 16 minutes. Among these, nearly 8,000 deaths involve drivers aged between 16 and 20 years old. Shockingly, more than 1,600 children under the age of 15 lose their lives in car accidents each year. To combat this alarming trend, measures are being taken to promote safe driving and reduce the frequency of accidents. Additionally, self-driving cars have the potential to improve traffic flow and minimize travel time as the vehicles can communicate with each other to optimize traffic flow and avoid congestion.","PeriodicalId":217957,"journal":{"name":"2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124352770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Pattern Recognition Algorithm to Detect Suspicious Activities 模式识别算法检测可疑活动

2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS) Pub Date : 2023-06-14 DOI: 10.1109/ICSCSS57650.2023.10169859

V. C. Mahavishnu, S. G. Vikhas, T. Shyamganesh, S. Roopakumar, S. Kavin

{"title":"Pattern Recognition Algorithm to Detect Suspicious Activities","authors":"V. C. Mahavishnu, S. G. Vikhas, T. Shyamganesh, S. Roopakumar, S. Kavin","doi":"10.1109/ICSCSS57650.2023.10169859","DOIUrl":"https://doi.org/10.1109/ICSCSS57650.2023.10169859","url":null,"abstract":"Detecting suspicious activities in public places with higher people gathering and interaction has turned out to be an act with growing interest due to the increasing number of crime scenes and causalities happening in these days. Surveying and tracking of human activities are increasingly difficult owing to the random nature of human movements and actions. The reliability is greatly affected due to this randomness. Also a human operator cannot continuously monitor multiple screens efficiently in a consequent manner so an automated surveillance system deployment becomes a necessity. Currently, tracking individuals may be done remotely, and the analysis of the recorded images can be automated using object detection models, with the help of high resolution cameras and the development of machine learning techniques. This proposed system aims in identifying threats that are probable to occur in a public gathering or space which may be an explosion, accident or possession of armoury, etc. This proposed model takes advantage of the information from the image data to learn complex patterns and develop pattern recognition technique to identify the anomalies using high resolution camera and alert the monitoring authority in order to take the necessary actions. This proposed work compares various object detection techniques of machine learning algorithms and suggests the best model based on its performance metrics.","PeriodicalId":217957,"journal":{"name":"2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124420320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Revamping Urban Parking with IoT and CNN 用物联网和CNN改造城市停车场

2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS) Pub Date : 2023-06-14 DOI: 10.1109/ICSCSS57650.2023.10169858

R. Krishnan, S. Jegadeesan, N. Deepa, K. Manivannan, C. A. V. Kumar, K. Narayanan

引用次数: 0

Artificial Intelligence (AI) based Nutrition Advisorusing an App 使用应用程序的基于人工智能(AI)的营养顾问

2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS) Pub Date : 2023-06-14 DOI: 10.1109/ICSCSS57650.2023.10169703

Akash Digambar Murumkar, Anamika Singh, Bhakti Rohidas Chachar, Prathamesh Dnyaneshwar Bagade, Geeta Zaware

{"title":"Artificial Intelligence (AI) based Nutrition Advisorusing an App","authors":"Akash Digambar Murumkar, Anamika Singh, Bhakti Rohidas Chachar, Prathamesh Dnyaneshwar Bagade, Geeta Zaware","doi":"10.1109/ICSCSS57650.2023.10169703","DOIUrl":"https://doi.org/10.1109/ICSCSS57650.2023.10169703","url":null,"abstract":"There is a growing awareness of a good lifestyle among people today. People tend to follow different diets and exercise. However, consulting a nutritionist is not for everyone. Diet Advisor is an artificial intelligence application about human nutrition. Act as a nutritionist, just like a real nutritionist. This system is very similar to that of a nutritionist. Individuals, due to busy schedules, people in the modern period are unable to focus on their welfare. As a result, a diet should be suggested to manage health. A balanced diet is required to grow. A machine with intelligence who specialises in health is called an AI nutritionist. supplies providing its consumers with a suitable diet plan based on some evaluation parameters. This AI powered technology could really create a nutrition plan that emphasises a balanced, healthy diet. Fruits, vegetables, grains, skim milk and other low-fat dairy products, beans, lean protein sources like chicken and tuna, and lentils are examples of nutritious foods. Mealsthat have been suggested by experts. However, since each user appears to have a distinctive eating intake varying medical problems, a nutritionist generates an eating plan tailored to each individual. The web-based virtual nutritionist is an artificial intelligence-powered human implementation focused on diet. It functions as a nutrition advisor, much like an actual health professional. Participants who want a nutrition plan must give different information, like their height, BMI, and work schedules. The system saves all of the subscriber’s data and uses it to send the nutrition plan to the subscriber. As a result, the subscriber can receive the necessary diet with just one click and avoid having to see a nutritionist, which makes the process quicker.","PeriodicalId":217957,"journal":{"name":"2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114324295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Population Density Estimation using Single Shot Detection Algorithm 基于单镜头检测算法的人口密度估计

2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS) Pub Date : 2023-06-14 DOI: 10.1109/ICSCSS57650.2023.10169157

G.Litisha Miraclin, K. Raimond, I. Beulah

{"title":"Population Density Estimation using Single Shot Detection Algorithm","authors":"G.Litisha Miraclin, K. Raimond, I. Beulah","doi":"10.1109/ICSCSS57650.2023.10169157","DOIUrl":"https://doi.org/10.1109/ICSCSS57650.2023.10169157","url":null,"abstract":"The proposed system consists of an Artificial Intelligent software that is capable of counting the number of people from the user inputs such as images and video frames more accurately. The system uses the advanced MobileNet Single Shot Detection algorithm to detect the human class in the given frame at the given moment. The count of individuals in the frame is dependent on the threshold set by the end-user. The primary goal of the application is to provide an easy-to-use and efficient tool for analyzing images and videos. The model used for object detection is trained on the mall dataset from Kaggle website and is capable of accurately detecting people in real-time, making it suitable for a wide range of applications. The people in the frame are tracked using centroid tracker algorithm, and the tracked classes are counted. The detection algorithm is built using the popular library keras for its versatile usage. This system uses Keras, a high-level deep learning library, and OpenCV, a computer vision library, to perform real-time people counting. The system utilizes object detection algorithms to detect and track individuals, and then increments a count each time a person crosses a designated line. The system is capable of handling multiple people simultaneously and accurately counting them in real-time.","PeriodicalId":217957,"journal":{"name":"2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114631655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0