Please review my PR, suggest changes if any.

README.md

@@ -1 +1,194 @@
-# eWaste-Dustbin
+# **E-Waste Bin**
+
+## **Abstract**
+
+The E-Waste Bin is a smart bin which can collect and segregate 5 types
+of waste namely Phones, Headphones, Watches, Mouses and chargers.
+
+
+   <p align="center"><img src="https://github.com/kai-013/eWaste-Dustbin/blob/kai-013-patch-1/Images%20and%20Videos/Images/Mechanical%20aspect/complete%20model.jpeg" width="600px" height="600px"/></p>
+
+## **Motivation**
+
+Nowadays, we are facing significant issues with E-Waste, they are
+hazardous to the environment if not disposed of properly, and some of
+this waste can be recycled easily. We need to collect them and segregate
+them for proper disposal or recycling, and this E-Waste Bin can be
+beneficial in doing so.
+
+Also one must gain valuable experience in working with sensors and
+**Arduino**, making physical models, and digital models on software like
+**Solidworks**.
+
+**Components**
+
+-   Stepper motor & drivers L298n x2
+-   Load cell & Hx711 x1
+-   Arduino mega x1
+-   Ultrasonic sensor x2
+-   Dustbin x1
+-   Webcam x1
+-   Flywheel frame x1
+-   Pi-shaped panel x2
+-   Rectangular flap x1
+-   Circular disk x1
+-   Rectangular cardboard x5
+-   Aluminium rods x5
+-   Angle brackets x5
+
+## **Workflow**
+
+<p align="center"><img src="https://github.com/kai-013/eWaste-Dustbin/blob/kai-013-patch-1/Images%20and%20Videos/Images/WORKFLOW/Workflow.JPG" width="6000px" height="900px"/></p>
+
+
+## **Mechanical Aspect of the Design**
+
+**BIN**
+
+The Bin is a standard-sized P.V.C. dust bin with a circular face;
+
+**Pi shaped panels**
+
+Two pi-shaped panels were cut out from thick cardboard. They are holding
+Load cell between them attached with nut and bolts, and a small sector
+from the lower panel is removed with centres of both coinciding, and
+thus the emerging part of the upper pane is attached to the Stepper
+motor.
+
+**Fly-Wheel**
+
+It was cut out from a wooden panel, the spikes are strengthened by
+attaching aluminium strips. The solid circle in the centre holds the
+stepper motor (which is rotating the Pi-shaped panel) along the central
+axis of the bin, it works as a frame for cardboards used for inner
+partitioning in the bin and it also works as a base for the circular
+disk working as an upper lid.
+
+This Flywheel is placed on the top of the bin, fixed by nuts and bolts.
+
+**Flap and Upper lid**
+
+The upper lid which is a wooden circular disk is standing on the
+flywheel frame by five aluminium rods.
+
+A stepper motor is fixed on the centre of the lid along the central axis
+and its rotating part is holding the wooden flap. The height of lid so
+adjusted that it leaves a gap of 1cm between flap and Pi panels.
+
+<p align="center"><img src="https://github.com/kai-013/eWaste-Dustbin/blob/kai-013-patch-1/Images%20and%20Videos/Images/Mechanical%20aspect/upper%20flaps.jpeg" width="400px" height="400px"/></p>
+
+
+## **Electronics Aspect of the Design**
+
+**Stepper motor**
+
+The bin uses two 12-volt stepper motors, 200 steps per rotation. These
+motors are controlled by L298n stepper drivers.
+
+Using the stepper motor along with drivers provide rotations at required
+angles with precision at a faster speed, increasing the accuracy of the
+bin and saving time consumed in motion.
+
+<p align="center"><img src="https://github.com/kai-013/eWaste-Dustbin/blob/kai-013-patch-1/Images%20and%20Videos/Images/actuators/steppermotor_3d.png" width="400px" height="400px"/></p>
+
+**Arduino Mega**
+
+-   It has a large number of pins, hence all the sensors and motors can
+    be connected easily.
+-   Can be used for years as, 4 KB of EEPROM space available.
+
+<p align="center"><img src="https://github.com/kai-013/eWaste-Dustbin/blob/kai-013-patch-1/Images%20and%20Videos/Images/Electronics/arduino%20mega.jpeg" width="400px" height="400px"/></p>
+
+
+**Load-cell & HX711**
+
+-   We used 1 Kg load cell with HX711 ADC chip.
+-   The strain gauge provides it a high precision, it can measure very
+    slight changes in weights making it suitable for lighter electronic
+    waste like earphones.
+
+<p align="center"><img src="https://github.com/kai-013/eWaste-Dustbin/blob/kai-013-patch-1/Images%20and%20Videos/Images/Electronics/loadcell.jpg" width="400px" height="400px"/></p>
+
+**Ultra sonic sensor (HC-SR04)**
+
+-   It can calculate accurate position of an object across two meters.
+-   We have used it to control when to energise the Load cell and HX711
+    which increases their life.
+
+**Object Detection**
+
+-   Object detection is done by using Ultralytics Model based on YOLOv5
+    and Pytorch and is trained over the custom dataset.
+-   YOLOv5 is one of the most high-performing object detectors out
+    there. It is fast, has high accuracy and is incredibly easy to
+    train.
+
+**Cost Structure**
+
+  -----------------------------------------------------------------------           
+ | **Components**                    |  **Quantity**     |     **Cost(INR.)**          | 
+ | :-----------------------:         | :--------------:  |  :---------------------:    |
+ |  Motor Driver L2898               |      2            |            240              |
+ |                                   |                   |                             |
+ |  Stepper Motors                   |      2            |            2050             |
+ |                                   |                   |                             |
+ |  Arduino Mega                     |      1            |            2200             |
+ |                                   |                   |                             |
+ | 12v Battery                       |      1            |            900              |
+ |                                   |                   |                             |
+ | Ultrasonic Sensor                 |      2            |            100              |
+ |                                   |                   |                             |
+ | Load Cell                         |      1            |            520              |
+ |                                   |                   |                             |
+ | HX711                             |      1            |            150              |
+ |                                   |                   |                             |
+ | Dustbin                           |      1            |            750              |
+ |                                   |                   |                             |                                                                                                                  |                   |                             |  
+ |                 **Total**         |                   |             6,910           |
+
+## **Applications**
+
+-   Collects and Segregates the E-Waste.
+-   Increases the recyclability of E-Wastes.
+-   Can be applied with a reward/royalty point-based system.
+
+## **Limitations**
+
+-   Can only able to collect & separate only a few specific wastes like
+    chargers, Mouse, smartphones etc.   
+-   Object detection is carried out on a laptop.
+-   If modified for segregation in more categories then, it will consume
+    a large space.
+-   It's hard to empty the bin, one needs to completely remove the upper
+    portion for doing.
+
+> ## **Future Improvements**
+
+-   We can use Rasberry pi to carry out image processing and object
+    detection and can add some more sensors to carry out segregation on
+    basis of recyclability making it more practical.
+-   Can be applied with an online reward-based mechanism to make it more
+    appealing.
+
+## **Team Members**
+
+1.  [Aastha Tembhare](https://github.com/Aastha-tembhare)
+2.  [Jitesh Bhati](https://github.com/jiteshbhati305)
+3. [Shreya Mittal](https://github.com/ShreyaMittalSM)
+4.  [Kaivalya](https://github.com/kai-013)
+
+## **Mentors**
+
+1.  [Abhay Pratap Singh](https://github.com/DarthEkLen)
+2.  [Harikhrishnan P.B.](https://github.com/MurkeyCube)
+3.  [Sanjeev Krishnan](https://github.com/SanjeevKrishnan)
+
+## **References**
+
+-   [HX711 module](https://youtu.be/sxzoAGf1kOo)
+-   [Ultralytics github](https://github.com/ultralytics/yolov5)
+-   [LabelImg](https://github.com/heartexlabs/labelImg)
+-   [SolidWorks tutorials](https://youtu.be/36Bry_57Pcc)
+-   [Yolo Drowsiness Detection](https://github.com/nicknochnack/YOLO-Drowsiness-Detection)
+-   [Coustom dataset training Yolov5](https://youtu.be/80Q3HIBy7Qg)
+-   [Arduino tutorial](https://randomnerdtutorials.com/arduino-load-cell-hx711)