Smart Bin
The project will be able to provide automatic control to collect the garbage effectively and efficiently. It will fulfill the task of collecting garbage from certain places by moving on predefined path and avoiding obstacles, and then dispose it in the dustbin attached to the robot by segregating be
2025-06-28 16:35:06 - Adil Khan
Smart Bin
Project Area of Specialization Internet of ThingsProject SummaryThe project will be able to provide automatic control to collect the garbage effectively and efficiently. It will fulfill the task of collecting garbage from certain places by moving on predefined path and avoiding obstacles, and then dispose it in the dustbin attached to the robot by segregating between metal and non-metal objects. It will continuously be providing information of garbage disposal and with beep sound will alert that the dustbin is filled. The project will be reducing workforce, automate the garbage collection and fasten the recycling process, which will usually minimize the human resource, and natural resource that will make impact on the solid waste management department.
These are mainly desirable in places such as house, universities, factories etc. The factory uses these robots in challenging workplace, which can contain unpredicted variables. Autonomous Garbage Collector will have an IOT interface with autonomous and manual mode of control. The picked up Garbage is then segregated (metallic and nonmetallic) and dumped into bin attached to the robot which has separate partitions for metallic and nonmetallic garbage If the garbage bin gets filled it then notifies to the person operating the robot as message in the IOT interface. The entire operation of waste collection can be viewed by the operator through internet using a mobile camera attached to the robot.
- To design a robot with the ability to identify and segregate between garbage that should be thrown or not.
- To segregate the trash picked up is metallic or non-metallic.
- To operate robot using two modes (Manual mode and Autonomous Mode)
- To control and operate robot from any place by the use of network which uses IOT technique.
- The monitoring of the robot activity will be done by using the ip webcam attached to the robot.
- The manual operation of the robot will be done through an android application using android mobile.
- Robot when integrated will be able to give live streaming experience on mobile application.
- To make robot that will distinguish between the objects and obstacles.
Algorithm Flow
We have combined the usage of proximity sensors with computer vision to accomplish our purpose. The camera, mounted on the chassis of the robot, remains inactive until an object is detected by the proximity sensor. When an object is detected, the camera captures a single image and sends it to the server for image processing classification to detect it as garbage or non-garbage. The advantage of this method is that a lot of time, memory and power is saved by performing processing on a single image, rather than continuously performing processing on every frame of a live video feed. Thus we can solve this purpose by using low-end processors and hence the hardware cost shall be substantially reduced. For classification of the image, we can use two approaches:
A. Perform image processing on the robot processor itself: This will require a moderate cost processor to be on the body of the robot. There may be some lag in output since processor won’t be as high end. But because of the same reason, the cost will be less.
B. Send images from multiple robots on a central server: The central server will use a high end processor while the robot processors can be extremely low end. The robots will simply capture images and send them wirelessly to the server. Image processing will be done on the server itself (which will give extremely rapid results) and the output will be sent back to the robot. The robot shall then decide whether to pick the object or not. We have implemented the latter in our system.
- The project will be reducing human efforts.
- The introduction to automate technique for collecting the garbage will be a benchmark.
- Efficient and Effective collection of garbage will fasten the recycling process, which will usually minimize the human resource, and natural resource that will make positive impact on the solid waste management department.
- Portable and Reliable.
In this system, Infrared (IR) sensor is utilized for the detection of garbage. The (IR) sensor emits light which is unable to see by human’s eye because it emits infrared wavelengths, which is recognizable by an electrical equipment RF module is used for this purpose; so as to transmit that the concerned collector is full and also it helps in the management and to control the garbage panel motor of the garbage collector that is fixed. An Arduino board is utilized to interface the ultrasonic sensor, motor and RF module. The arrangement of (IR) sensors serve as level detector and controlling garbage car. The IR sensor and cars motor interface with Arduino. The program is burned in the microcontroller Arduino Nano ATmega 328p using the Arduino software (IDE). These Data or information of the muck heights of corresponding trash bin sent to moving car part to make the bin empty as fast as it can. Then the garbage car moves toward the collecting garbage in the predefined path and after dumping back to track to reach start point.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 79938 | |||
| Arduino Mega 2560 | Equipment | 1 | 1500 | 1500 |
| Raspberry Pi 4 Model B Kits Dual Fan Aluminum Case | Equipment | 1 | 13270 | 13270 |
| ULTRA TORQUE DUAL SHAFT METAL GEAR 35KGCM CORELESS SERVO | Equipment | 1 | 23038 | 23038 |
| Printing, Advertisement, Project Poster | Miscellaneous | 1 | 4000 | 4000 |
| Mitoot MG996R Metal Gears Digital RC Servo Motor | Equipment | 1 | 500 | 500 |
| HIGH TORQUE DIGITAL SERVO MOTOR 180° 20KGCM | Equipment | 1 | 1620 | 1620 |
| 12 V 10Ah Large capacity 18650 lithium battery protection board 12.6v | Equipment | 1 | 4650 | 4650 |
| ESP8266 WIFI MODULE | Equipment | 1 | 450 | 450 |
| LM1117 AMS1117 4.5-7V turn 3.3V DC-DC Step down Power Supply Module b | Equipment | 1 | 200 | 200 |
| Converter Step Down Module Constant Current LED Driver Power Step Down | Equipment | 1 | 700 | 700 |
| Dual Display DC-DC 5-23V To 0-16.5V 3A Max Step Down Power Supply Buck | Equipment | 1 | 460 | 460 |
| DUAL DC MOTOR DRIVER | Equipment | 1 | 200 | 200 |
| METAL PROXIMITY SENSOR | Equipment | 1 | 250 | 250 |
| Ultrasonic ranging sensors ultrasonic waterproof distance Waterproof | Equipment | 1 | 3000 | 3000 |
| Raspberry Pi 4 IR-CUT Focal Adjustable 5 MP OV5647 | Equipment | 1 | 2100 | 2100 |
| Robot Frame & Design | Equipment | 1 | 15000 | 15000 |
| Development Libraries | Miscellaneous | 1 | 6000 | 6000 |
| Pi Cam | Equipment | 1 | 3000 | 3000 |