DESIGN AND IMPLEMENTATION OF METALLIC WASTE COLLECTION ROBOT

2018

Now-a-days, management of waste from its collection to dumping and disruption has become one of the greatest challenging and arduous chore for municipal corporations, all around the globe. To make this tedious job facile, a new concept of Smart Dustbin has been taken into consideration for Smart buildings, hospitals, schools and railway stations. The Smart garbage collector thought is an advancement of traditional garbage collector by levitating it to become smart inculcating sensors and some form of logics. This smart collector is a revolutionary idea of application of line following garbage car and pole fixed garbage part on predesigned locomotive path. The fixed bin makes use of ultrasonic sensors for level of garbage detection and updates the coeval level of the bin to the garbage car, using RF Module. This is thereby a fully automated system, making small contribution towards the theme of Clean India Green India.

TELKOMNIKA Telecommunication Computing Electronics and Control, 2019

Recent technologies for robotics have been offered an effective and efficient solution to safeguard workers from risks in their work environments. These risks involve radioactive, toxic, explosive and mines. In this paper, design and implement computer robot based on metal detection as well as avoiding obstacles automatically. The proposed wireless controlled robotic vehicle can be used in metal detection applications such as landmine detection, obstacles avoidance, selecting best routing without imposing human's harms and workforce aspects. The robotic wheel can sense the obstacles that positioning at ahead of its path, and also avoids the obstacles forward, left and right of its routes. The robot is controlled by using Bluetooth wireless communication to interface between the controller and the implemented robot. Furthermore, sensor IR (FC-03) for the metal detector and used ultrasonic sensor (HC-SR04) for objects or obstacles sensing. The presented controlled robotic designed for desert and dry soil that can replace the human role in avoiding obstacles and metal detection capabilities. The produced robot was useful due to it can detect metals and avoiding obstacles consecutively besides it was effective to select the best route based on the intelligent technique that adopted, the predefined metals by using an intelligent decision maker for route finder in a flat surface environment.

Now-a-days, Collecting and segregating of waste has become one among the greatest challenging task for municipal corporations, all around the globe. An exponential rise in population, there's an increased production of waste, and also an enormous amount of litter consisting of plastic, paper, and other such products carelessly thrown about and scattered publicly. No one is paying attention to surrounding environmental problems. One of the major issues is garbage collection. To deal with this problem we come up with a "Robotic Vehicle for Garbage Collection". Robot is able to perform human tasks of collecting garbage. In this project, we are designing a robot which is capable of collecting the waste products from various places like footpaths, parks, schools & colleges etc. This robot is capable for detection of objects in random movement. The main controller of this project is Raspberry Pi 3B. The robot is built on a wooden base of size 50x40 cm which is powered by battery of 12V. The movement of robotic vehicle is controlled by programming the Arduino. After detecting the objects, the robot senses by webcam & followed by Image processing, the object gets collected with the robotic arm and place into the container. The robot keeps collecting the waste until it reaches certain height within the bin. Once the bin is full then it is notified to the operator. This robotic vehicle is working automatically and saves the human power.

2021

The recycling of coarse waste such as construction and demolition waste (CDW), bulky waste, etc., is a process that is currently performed mechanically and manually. Unlike packaging waste, commercial waste and the like, which is usually cut or shredded into small pieces and then automatically separated and sorted on conveyor belt-based systems, coarse waste is separated by specialized personnel using wheel loaders, cranes or excavators. This paper presents the concept of a robotic system designed to autonomously separate recyclable coarse materials from bulky waste, demolition and construction waste, etc. The proposed solution explicitly uses existing heavy equipment (e.g., an excavator currently in use on-site) rather than developing a robot from scratch. A particular focus is set on the sensory system options used to identify and classify waste objects.

2017

A new integrated device is introduced which is used for controlling a Robot by using DTMF technology as well as detecting metal objects. Conventionally, wireless-controlled Robot uses RF circuits which have the drawbacks of limited working range, limited frequency range and limited control. The usage of a mobile phone to control Robot can overcome these limitations. A high sensitive induction type metal detector is designed and fixed to this robot. Buzzer is used for getting alarm in the presence of metal objects and video transmission system is used for observing the surrounding area of the robot. The metal detector can detect buried coins, gold, weapons such as knives and guns especially at airports, landmines and consists of a circular horizontal coil assembly held just above the ground. It is also used to detect foreign bodies in food and in the construction industry to detect steel reinforcing bars in concrete and pipes and wires buried in walls and floors and 'treasure hun...

2010

A particular importance will be given to how the principle ideas were managed to achieve an optimal mechatronic product if certain conditions imposed. Schemes in principle on the whole mechatronic product was designed, conducted and completed in detail. The present study attempted to design a robot for the detection of metal objects, being the preferred transportation system with tracks. This system has a high stability and provides a backup speed high enough for such applications. As a result, the mobile robot those covered by this project will adopt this system.

Best, 2024

This Arduino-based automatic metal and non-metal waste sorting tool is designed to sort waste, making it easier to recycle waste. The main components of this tool include Arduino (as a tool control system), proximity sensor (as a metal scrap detector), servo motor (as a driver to isolate metal scrap) and LCD to display the type of metal scrap. In terms of waste sorting, the Proximity sensor will detect waste. If the waste is detected as metal waste, the servo motor will rotate to the right and direct the waste to a special metal waste bin. The LCD screen will display the type of metal waste. If the proximity sensor does not detect non-metal waste, the servo motor will rotate to the left and direct the nonmetal waste to a special non-metal waste bin. This type of waste sorter is very helpful in reducing waste because it can be processed according to the type of waste.

International Journal of Engineering Research and Technology (IJERT), 2020

https://www.ijert.org/smart-trash-collecting-and-segregating-robot https://www.ijert.org/research/smart-trash-collecting-and-segregating-robot-IJERTV9IS110152.pdf The Earth is not a garbage can to litter everywhere. Pollution is a serious issue that goes alarming every now and then. Pollution increases subsequently with increase in population. Garbage has to be strictly discarded to avoid pollution. Here on emphasizing land pollution, "Garbage Collecting Robot" can clean up all the garbages that are thrown on the roads using Raspberry Pi. This robot will be built on a metallic base and powered by a battery and contains a Pi cam to segregate wastes on image processing. The bot will contain a sensor for obstacle detection and hence has a good path determination. On implementation, manual requirement can be avoided and thus prevents people from sanitary issues.

Electronics

This paper proposed an innovative mechanical design using the Rocker-bogie mechanism for resilient Trash-Collecting Robots. Mask-RCNN, YOLOV4, and YOLOv4-tiny were experimented on and analyzed for trash detection. The Trash-Collecting Robot was developed to be completely autonomous as it was able to detect trash, move towards it, and pick it up while avoiding any obstacles along the way. Sensors including a camera, ultrasonic sensor, and GPS module played an imperative role in automation. The brain of the Robot, namely, Raspberry Pi and Arduino, processed the data from the sensors and performed path-planning and consequent motion of the robot through actuation of motors. Three models for object detection were tested for potential use in the robot: Mask-RCNN, YOLOv4, and YOLOv4-tiny. Mask-RCNN achieved an average precision (mAP) of over 83% and detection time (DT) of 3973.29 ms, YOLOv4 achieved 97.1% (mAP) and 32.76 DT, and YOLOv4-tiny achieved 95.2% and 5.21 ms DT. The YOLOv4-tiny w...

International Journal of Power Electronics and Drive System (IJPEDS), 2019

The tremendous recent involvement of technology in our life generates a lot of advantages and disadvantages. Nevertheless, and to profoundly augment its positive influence, at the expense of the negatives, most technology be deployed to serve humanity and society. Researchers attractive in developing robust and cooperative robotics that capable of solving difficult tasks without any human control. Metal detector robot is one of the robotics principles due to its effectiveness as compared with manually operated and very slow traditional methods. In this article, three main points that are concentrated 1) Design a robot which is vehicle-mounted sensors that capable of carries the sensors of the metal and obstacle; 2) Control and management system wirelessly by a computer-based to command the robot functions by several sets of user's rules and manage the robot instructions; and 3) Conduct an integrated system that achieving navigated data via metal detector based on online structured query language database registry. Also, discussed a comparison of the previous detector systems and highlights on several merits. The proposed system capable of fully control the robot also, set the robot operator permissions and rules, stored and archived the navigated results and printed reports and stored in an independent database.