Garbage Collector Machine with Instant Reward

Now a days, waste management is becoming a big issue. Due to improper waste disposal and management, society is facing environmental contamination problems which affects directly on human beings. Garbage separation is also a difficult task for the workers. People are not aware of these problems and do not dispose the garbage at proper places which leads to garbage accumulation at public places. So, to encourage people for proper garbage disposal this paper deals with the concept which will provide platform to dispose of waste in a more scientific and user-friendly. In return they will be rewarded in a cashless manner through means of digital payments and free coupons etc. The nature(wet or dry) and weight of garbage disposed in the machine will be sensed for segregating it in two section. The user will be rewarded according to the weight of garbage. Flow of the operations will be programmed in Arduino Uno micro-controller, sensors and GSM technology. This system leads to collection and segregation of waste at one place, for effective recycling and to reduce environmental. Also this will helps us to contribute in Swachh Bharat Abhiyaan scheme launched by the government of India.

Iot-Based Smart Trash Monitoring Using Blynk Application

Poor waste management and lack of public awareness of environmental hygiene, especially if waste is disposed of in the local trash can, causes garbage to accumulate and emit bad odors which can be a source of disease transmission. The lack of information technology for waste management by janitors can cause slow waste disposal. Based on these problems, it is necessary to equip an automatic trash can with a monitoring function in real time. Added the IOT (Internet of Things) function, which can provide initial information indicating that the trash can is full and can be quickly picked up by the garbage collector. The smart trash can prototype uses an ESP 32 microcontroller as a system control. Servo to control the trash can cover. The output of DF Player is in the form of thanks to people who throw garbage in its place. Ultrasonic sensors can detect human presence and waste volume and send monitoring results in real time as well as notifications to the blynk application as a notification if the trash can is full.

Geo Tracking of Waste

Littering of waste causes a lot of negative impact on the environment as well as it affects the economy of the nation. Because of unavailability of a proper waste tracking and detection system, littered waste remains uncleaned. The traditional way of waste management includes regular waste collected by the groups assigned such as municipal corporation trucks. To overcome this problem, we develop a system where the admin can capture images using a mobile camera and using artificial intelligence, it processes those images and identifies the type of waste present in the image. It also maps the waste locations along with its images on a map. At the end, the admin notifies the nearest garbage collector to clean the waste. The system uses the concepts of image processing, deep learning and object detection. Keywords: Object Detection, Image Processing, Coordinates, Deep Learning, Mapping

Design and Development of River Floating Cleaner

This research aims to design and make floating river cleaner, a floating boat model as automatic garbage collector to counter accumulation of garbage in the lake which has no flow effectively and efficiently. The method of implementation is design and construction. This method includes the identification of needs, analysis of the components required specifically, hardware and software engineering, developing, and testing. In this project the proposed concept is to replace the manual work in lake or lake cleaning by automated system. Now-a-days even though automation plays a vital role in all industrial applications in the proper disposal of sewages from industries and commercials are still a challenging task. To overcome this problem and to save human life we have implemented a design called "Floating Lake cleaner". We designed our project to use this in efficient way to control the disposal of wastages and with regular filtration of wastages, clearance of gaseous substance are treated separately and monitor the disposal in frequent manner.

Integrated Hardware Garbage Collection

Garbage collected programming languages, such as Python and C#, have accelerated software development. These modern languages increase productivity and software reliability as they provide high-level data representation and control structures. Modern languages are widely used in software development for mobile, desktop, and server devices, but their adoption is limited in real-time embedded systems. There is clear interest in supporting modern languages in embedded devices as emerging markets, like the Internet of Things, demand ever smarter and more reliable products. Multiple commercial and open-source projects, such as Zerynth and MicroPython, are attempting to provide support. But these projects rely on software garbage collectors that impose high overheads and introduce unpredictable pauses, preventing their use in many embedded applications. These limitations arise from the unsuitability of conventional processors for performing efficient, predictable garbage collection. We propose the Integrated Hardware Garbage Collector (IHGC); a garbage collector tightly coupled with the processor that runs continuously in the background. Further, we introduce a static analysis technique to guarantee that real-time programs are never paused by the collector. Our design allocates a memory cycle to the collector when the processor is not using the memory. The IHGC achieves this by careful division of collection work into single-memory-access steps that are interleaved with the processor’s memory accesses. As a result, our collector eliminates run-time overheads and enables real-time program analysis. The principles behind the IHGC can be used in conjunction with existing architectures. For example, we simulated the IHGC alongside the ARMv6-M architecture. Compared to a conventional processor, our experiments indicate that the IHGC offers 1.5–7 times better performance for programs that rely on garbage collection. The IHGC delivers the benefits of garbage-collected languages with real-time performance but without the complexity and overheads inherent in software collectors.

Development of Water Surface Mobile Garbage Collector Robot

This paper presents a prototype of Water Surface Mobile Garbage Collector Robot built in motivation to educate the people to love and monitor the health of our rivers by collecting the trash themselves using mobile robot. The garbage collector is designed aimed for the cleaning of small-scale lakes, narrow rivers, and drains in Malaysia. The navigation of the robot is controlled using wireless Bluetooth communication from a smartphone application. The performance of the water garbage collector in terms of manoeuvring control efficiency and garbage collection load capacity was tested and evaluated. Based on the experimental results from a swimming pool, it can operate within a 4-metre range and collect 192 grams of small to medium sized recyclable garbage such as food packages, water bottles, and plastics in 10 seconds. It managed to float and navigate on the Panchor River within Bluetooth network range. A strong, lightweight and waterproof material is recommended for use for this water garbage collector. A proximity sensor or image processing technique for detecting garbage on the water surface may be studied and included in the future to enable a fully autonomous manoeuvring control system.

Daily Patterns of Foraging and Aggressive Behaviors in Great-tailed Grackle (Quiscalus mexicanus) at an Urban Patch with Availability or Absence of Resources

The Great-tailed Grackle (Quiscalus mexicanus) seems to take advantage of inhospitable environments such as cities. However, it is not yet fully understood how these birds exploit hostile environments to their advantage. Casual observation suggests that this species can obtain resources of biological importance such as food or nesting material from the garbage. As a first approach to the problem, we located a patch outside a residential building in a high-density urban area, where the residents left their trash for pickup. A group of wild Great-tailed grackles was identified as regular visitors. In total, 25 days were recorded at the site (November 2017 - January 2018). Events such as foraging, the number of subjects present at the foraging area, aggressive behaviors between members of the group, and their relation with the presence or absence of the garbage collector truck were registered. The results show a higher number of grackles at the observation site and a higher frequency of foraging behaviors in the presence of garbage collection than in its absence. In its presence, the distribution of foraging during the day follows a normal distribution. In the absence, the distribution shows more variability towards the day. The highest frequency of interactions occurred between two grackles, yet there were records of up to eight subjects. The highest number of aggressions registered took place in the absence of garbage collection than in its presence. Moreover, the focal subject exhibits fewer agonistic behaviors than other group members, a result expected if the producer-scrounger game literature is considered. The outcome is explained in terms of deprivation and availability of resources. Finally, we conclude that grackles can exploit hazardous environments such as cities due to the highly social behaviors exhibited during foraging.