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A154Abstrak-Pencemaran udara adalah suatu kondisi dimana kualitas udara menjadi rusak dan terkontaminasi oleh zat-zat, baik yang tidak berbahaya maupun berbahaya bagi makhlup hidup. Seiring dengan perkembangan dan pembangunan industri di Indonesia, akan berdampak pada meningkatnya tingkat pencemaran udara. Sistem monitoring emisi gas polutan industri secara umum dilakukan dengan cara manual menggunakan sensor gas pada titik-titik tertentu. Hal ini memakan waktu dan biaya cukup banyak. Quadcopter merupakan salah satu jenis Unmanned Aerial Vehicle (UAV) yang mampu bergerak secara otomatis sesuai dengan sistem tracking waypoint. Sistem tracking waypoint merupakan sistem navigasi berdasarkan posisi Global Positioning System (GPS) dan kompas, sehingga quadcopter dapat berjalan secara otomatis. Implementasi sensor gas semikonduktor dapat menunjang quadcopter untuk mengukur kadar gas di udara, sehingga dapat diaplikasikan sebagai alat monitoring secara otomatis. Data posisi GPS quadcopter dapat diakses secara langsung pada google maps di software mission planner. Kadar gas polutan disimpan pada web server raspberry pi 2 dan mampu diakses secara online. Hasil pemetaan kadar gas ditampilkan dalam 3D analyzer google earth.

This contribution presents the TOMIE framework (Tracking Of Multiple Industrial Entities), a framework for the continuous tracking of industrial entities (e.g., pallets, crates, barrels) over a network of, in this example, six RGB cameras. This framework, makes use of multiple sensors, data pipelines and data annotation procedures, and is described in detail in this contribution. With the vision of a fully automated tracking system for industrial entities in mind, it enables researchers to efficiently capture high quality data in an industrial setting. Using this framework, an image dataset, the TOMIE dataset, is created, which at the same time is used to gauge the framework's validity. This dataset contains annotation files for 112,860 frames and 640,936 entity instances that are captured from a set of six cameras that perceive a large indoor space. This dataset out-scales comparable datasets by a factor of four and is made up of scenarios, drawn from industrial applications from the sector of warehousing. Three tracking algorithms, namely ByteTrack, Bot-Sort and SiamMOT are applied to this dataset, serving as a proof-of-concept and providing tracking results that are comparable to the state of the art.

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Air pollution is a condition in which air quality is damaged and contaminated with substances that are harmful to living things. Along with the increase in the number of motorized vehicles and industrial areas in Indonesia can increase the level of air pollution. Generally, monitoring systems for air pollution are carried out using gas sensors at certain points. However, this method takes a lot of time and cost, as well as low spatial resolution for a wide area. The quadcopter is a type of Unmanned Aerial Vehicle that can move automatically according to the tracking system based on the waypoints of the Global Positioning System. In this study, a quadcopter equipped with a gas sensor is used to map air pollution levels. Mission Planner software is used to determine the waypoints of the quadcopter. The proportional-integral-derivative (PID) control is used to maintain the altitude of the quadcopter while hovering. The gas level can be stored and accessed online on the webserver, in which the results of the gas mapping are displayed on Google Earth. The experiment results show that the measurement of carbon monoxide using the semiconductor gas sensor has an error of 9.6%. The quadcopter can route all the provided waypoints for its navigation. The quadcopter can also maintain the height according to the offered altitude setpoints with a steady-state error of 21.4 % and 15.75%, respectively.